Collection of Courses Number 62
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Description
Quantum Computing: Executive Essentials is a non-technical, insight-driven course designed to equip leaders, executives, and decision-makers with the knowledge and tools they need to understand, evaluate, and act on the opportunities and risks posed by quantum computing.
In the next decade, quantum technologies will radically reshape cybersecurity, artificial intelligence, financial modeling, drug discovery, logistics optimization, and more. But for many business leaders, quantum computing remains complex and inaccessible — surrounded by scientific jargon and unclear timelines.
This course changes that.
Through clear explanations, real-world case studies, and practical frameworks, you’ll gain a working understanding of the core principles of quantum computing — including qubits, superposition, and entanglement — and how they differ from classical computing. You’ll explore how quantum advantage emerges and what kinds of problems quantum systems are uniquely positioned to solve.
You’ll also discover how quantum intersects with other technologies, including AI, cloud computing, and post-quantum cryptography. From hybrid quantum-classical workflows to quantum-safe security strategies, you’ll learn what’s actionable now — and what’s coming soon.
Throughout the course, we’ll highlight how leading organizations like IBM, Google, Microsoft, JPMorgan, Roche, and Airbus are integrating quantum into their innovation roadmaps. You’ll explore how governments and national labs are shaping the global race for quantum supremacy, and how emerging standards and regulations will impact your organization.
By the end of the course, you’ll be able to:
Identify key use cases for quantum computing in your industry
Understand the risks of quantum disruption, including broken encryption
Build a quantum readiness roadmap for your organization
Speak confidently with technical teams, vendors, and stakeholders
Launch low-risk, high-learning pilot projects using quantum cloud platforms
Position yourself and your company as a leader in quantum transformation
Whether you’re a CEO, CIO, investor, board member, or innovation strategist, this course will help you turn confusion into clarity — and clarity into action.
Quantum isn’t the future. It’s the edge. And this course is your briefing for what’s next.
Description
Welcome to course: Introduction to Business and Data Analysis
Important! Course focused to business needs and business meaning of analysis, not to usage of analytical software.
Its guideline to what questions you need to focus your efforts during analysis.
Course provided by MTF Institute of Management, Technology and Finance
MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.
MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.
MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.
MTF is present in 208 countries and has been chosen by more than 450 000 students.
Course Author:
Dr. Pedro Nunes has built a multifaceted career combining academia and practical business expertise. His educational journey culminated with a Doctorate in Economic Analysis and Business Strategy with a cum laude mention from the University of Santiago de Compostela. Professionally, he has navigated through various sectors, including technology, international commerce, and consultancy, with roles ranging from business analyst to director. Currently, Pedro serves as a Professor in several DBA programs, applying his extensive industry experience and academic insights to educate the next generation of professionals.
Business and Data Analysis (BDA) is the practice of using data to understand, improve, and optimize business processes. It involves collecting, cleaning, analyzing, and interpreting data to uncover insights that can inform decision-making and drive strategic initiatives.
Importance of Business and Data Analysis for Business
BDA is essential for modern businesses due to several key reasons:
Data-Driven Decision Making: BDA allows businesses to make informed decisions based on factual evidence rather than intuition or guesswork. This leads to more effective strategies and better outcomes.
Improved Efficiency: By identifying bottlenecks and inefficiencies in processes, BDA can help businesses streamline operations and reduce costs.
Enhanced Customer Experience: Analyzing customer data can reveal preferences and pain points, enabling businesses to tailor products, services, and marketing campaigns to meet customer needs more effectively.
Competitive Advantage: Companies that leverage BDA can gain valuable insights into market trends, customer behavior, and competitor activities, giving them an edge in the marketplace.
Risk Management: BDA can help businesses identify and mitigate potential risks by analyzing historical data and forecasting future trends.
Main Focuses of Analysis of Business Data
The main focuses of BDA can vary depending on the specific goals of the business. However, some common areas of analysis include:
Sales and Revenue: Analyzing sales data to identify trends, understand customer buying behavior, and optimize pricing strategies.
Marketing and Customer Acquisition: Evaluating the effectiveness of marketing campaigns, identifying high-value customer segments, and improving customer acquisition and retention.
Operational Efficiency: Examining processes and workflows to identify areas for improvement, reduce costs, and enhance productivity.
Financial Performance: Analyzing financial data to track profitability, identify cost-saving opportunities, and make informed investment decisions.
Risk Assessment: Evaluating internal and external factors that could pose a risk to the business and developing strategies to mitigate those risks.
How Building Skills in Business and Data Analysis Can Support Career Development
Developing skills in BDA can significantly enhance career prospects in several ways:
High Demand: Professionals with BDA expertise are in high demand across various industries, opening up a wide range of career opportunities.
Career Advancement: BDA skills can lead to promotions and increased responsibilities within an organization.
Versatility: BDA skills are transferable across different industries and functions, providing flexibility and adaptability in the job market.
Entrepreneurial Opportunities: Individuals with BDA skills can leverage their knowledge to start their own businesses or consulting practices.
Problem-Solving Skills: BDA develops critical thinking and problem-solving skills, which are valuable assets in any career.
Business and Data Analysis is a critical tool for businesses to thrive in the data-driven world. By harnessing the power of data, organizations can make informed decisions, improve efficiency, enhance customer experiences, and gain a competitive edge. Building skills in BDA can open up exciting career opportunities and provide a solid foundation for professional growth.
Description
"Emerging Markets and Business in Developing Countries" provides a comprehensive exploration of the dynamic opportunities and challenges associated with operating in emerging economies. This course delves into the defining characteristics of emerging markets, emphasizing their significance in the global economy. Students will gain insights into the economic and political landscapes that shape these markets, including key indicators and the impact of political stability on business success. By examining market entry strategies and understanding the business environment, participants will be equipped to navigate the complexities of infrastructure development and regulatory frameworks.
The course further explores consumer behavior and market trends, offering tools for analyzing local preferences and identifying growth areas. Financial and investment considerations, including managing currency risks and accessing capital, are covered in depth. Additionally, students will learn how to adapt to cultural and social factors influencing business practices. Through case studies and best practices, learners will apply real-world examples to address common challenges and develop effective solutions, preparing them to thrive in the evolving landscape of emerging markets.
In this master course, I would like to teach the 8 major topics:
Module 1: Introduction to Emerging Markets
Module 2: Economic and Political Landscape
Module 3: Market Entry Strategies
Module 4: Business Environment and Infrastructure
Module 5: Consumer Behavior and Market Trends
Module 6: Financial and Investment Considerations
Module 7: Cultural and Social Factors
Module 8: Case Studies and Best Practices
Enroll now and learn today !
Description
In this Course we will Cover the Fundamental knowledge Needed to Work on the Site as a project Manager .
Chapter-: Introduction
Chapter – Project Planning & Management (PPM) Concepts
Chapter – Project Life Cycle
Chapter – 4: Project Management Triangle 9
Chapter – 5: Real Time Project Structure
Chapter – 6: Project Organization Structure
Chapter – 7: Project Planning Processes
Chapter – 8: Project Management Knowledge Areas
Chapter – 9: Earned Value Management (EVM)
1. Introduction
2. What is Project - Objective of Projects - Project Outcome
3. Types of Projects - Single - Multiple - Portfolio Project
4. What is Planning & its Importance
5. Why Planning Should be Done l Why Projects Come in Market
6. Why projects Become Successful and Some projects Failure
7. Process of Planning - What is Scope and BOQ in Projects
8. What is Project Management & Its Importance
9. Project Lifecycle and its Importance
10. who is Stakeholder - Direct and Indirect Stake Holders
11. Project Management Triangle - Triple Constraints in Project
12. Project Organizational Structure - OBS in Project
13. Methods of Planning - PERT & CPM
14. CPM validation on Ms-Project- Most Important for Planning Engineer
15. PERT Validation on Software l Decoding its Practical Logic l- 50 % of planning
16. Scope & Time Planning in Project Management
17. Resource Planning in project Management
Description
Want to become an Successful Systems Thinker but don’t know what to do and how?
Take a look at this course where you will
Not only learn about the System Thinking in depth with a lot of examples but also learn
How to use it for Problem Solving, Decision Making, Strategic Planning, Policy Analysis and Innovation & Design
Preview many lectures for free to see the content for yourself
Clear your doubts on this topic any time while doing the course
Get Udemy’s 30 days Money Back Guarantee
My exposure to some aspects of Systems Thinking started at Indian Institute of Management (IIM) Bangalore during 1979-1981 through extra curricular readings in addition to learning about Operations Research and Systems Analysis for optimal management decision making
I was lucky to learn more progressively over the years in Hindustan Unilever and Johnson & Johnson though the management development programs on Situation Analysis, Problem Solving, Decision Making and Potential Problem Analysis using Kepner Tregoe Frameworks.
The journey to learn Systems Thinking continued over the working life till 2007 and got consolidated when I started working at IIM Udaipur in 2015
I bring in this course my learnings from this journey and share with you how can you also become a Successful Systems Thinker
Look at what are the students of this course saying
"The Master in Systems Thinking course provided a holistic understanding of complex systems and their interconnections. It honed critical thinking skills, emphasizing dynamic problem-solving and fostering a systemic perspective. The interactive format encouraged collaborative learning, enriching the experience. Overall, an invaluable journey towards mastering systemic understanding and application"
"Had an amazing audio and visual experience"
"Simple and understandable"
Preview for yourself many lectures free. If you like the content, enrol for the course, enjoy and skill yourself to become a Master in System Thinking! If don't like the content, please message about how can we modify it to meet your expectations.
Please remember that this course comes with Udemy’s 30 days Money Back Guarantee
Description
Revolutionize your business and unlock unprecedented growth with the power of artificial intelligence. Welcome to the future of business leadership, where you'll discover how to transform your company into an AI-driven powerhouse that outsmarts competition and captures untapped market opportunities.
Imagine building a business that runs smarter, faster, and more profitably than ever before. This isn't just another tech course – it's your gateway to mastering proven, highly profitable AI business models: a cutting-edge marketing agency that delivers extraordinary results, a sophisticated Amazon FBA operation that generates passive income, and a premium design services firm that stands out in a crowded market, and much more!
We've decoded the secrets of AI business success and packaged them into actionable strategies that anyone can implement. Our step-by-step system eliminates the complexity, focusing purely on what drives results: creating new revenue streams, automating operations, and delivering exceptional customer experiences.
This isn't about future possibilities – it's about seizing opportunities available right now. While others are still contemplating AI adoption, you'll be implementing proven strategies that transform your business into a market leader. From strategic planning to practical implementation, you'll master everything needed to build and scale an AI-powered business empire.
Join the elite group of business leaders who are already dominating their markets with AI. Your competition is already exploring AI – don't let them get ahead. Transform your business vision into reality and position yourself at the forefront of the AI revolution. The future belongs to those who act now.
Description
Selling Into the Manufacturing Industry 2.0
The Selling Into the Manufacturing Industry 2.0 course equips sales and customer success professionals with the skills and knowledge needed to navigate the complexities of selling to manufacturers. This course explores key industry trends, common challenges faced by manufacturing clients, and the critical decision-making processes that impact sales success. Learners will develop expertise in consultative selling, relationship-building, and negotiation strategies tailored specifically for the manufacturing sector. By understanding how to align solutions with operational needs, participants will gain a competitive edge in securing and maintaining long-term client partnerships.
Through a combination of real-world case studies, practical exercises, and industry insights, this course will help learners refine their approach to technical sales, value-based positioning, and digital selling tools. Participants will also explore strategies for overcoming pricing objections, differentiating from competitors, and leveraging post-sales engagement to drive customer loyalty. Whether new to the field or looking to enhance existing skills, this course provides actionable strategies for sales success in the evolving manufacturing landscape.
In this master course, I would like to teach the major topics:
Module 1: Understanding the Manufacturing Industry
Module 2: Identifying Customer Needs in Manufacturing
Module 3: Relationship-Building Strategies
Module 4: Product Knowledge and Technical Expertise
Module 5: Negotiation Strategies for Manufacturing Sales
Module 6: Leveraging Digital Tools and Sales Technologies
Module 7: Competitive Differentiation and Value Proposition
Module 8: Customer Retention and Post-Sales Success
Enroll now and learn today !
Description
Welcome to program: Executive Certificate in Business Management
Course provided by MTF Institute of Management, Technology and Finance
MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.
MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.
MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.
MTF is present in 208 countries and has been chosen by more than 440 000 students.
Course Author:
Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.
In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.
In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.
Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.
With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.
Business management is the process of planning, organizing, directing, and controlling the resources (financial, human, and material) within an organization to achieve its goals and objectives effectively and efficiently. It encompasses a wide range of activities, from setting strategic direction and making operational decisions to managing resources and leading people.
Why Learning and Developing Skills in Business Management are Important for Building a Career:
Versatility: Business management skills are applicable across industries and sectors. Whether you aspire to work in healthcare, technology, finance, or any other field, understanding business fundamentals will give you a strong foundation for success.
Career Advancement: Professionals with strong business management skills are highly sought after for leadership and management positions. Developing these skills can open doors to career advancement opportunities and increased earning potential.
Problem-Solving: Business management teaches critical thinking and problem-solving skills. You'll learn to identify challenges, analyze situations, and develop effective solutions.
Communication and Collaboration: Effective communication and collaboration are essential in any business environment. Strong business managers are able to build relationships, motivate teams, and negotiate successfully.
Adaptability: The business landscape is constantly evolving. Business management skills equip you to adapt to change, embrace new technologies, and navigate uncertainty.
Importance of Learning Linked Topics:
Business Models and Value Propositions: Understanding how businesses create, deliver, and capture value is crucial for identifying opportunities, developing new products or services, and ensuring long-term sustainability.
Strategic Management and Planning: This involves setting long-term goals, analyzing the competitive environment, and developing strategies to achieve success. Strong strategic thinking is essential for making informed decisions and guiding the organization towards its vision.
Organizational Behavior and Leadership: Effective leaders understand how to motivate and inspire teams, manage conflict, and create a positive work environment. Knowledge of organizational behavior is key to building high-performing teams and fostering a culture of innovation.
Risk Management and Business Continuity Planning: Businesses face a variety of risks, from financial and operational disruptions to natural disasters. Risk management involves identifying potential threats, assessing their impact, and implementing strategies to mitigate or avoid them. Business continuity planning ensures that critical operations can continue in the event of a disruption.
Change Management and Organizational Development: Organizations must continuously adapt to remain competitive. Change management skills are essential for leading and managing change initiatives effectively, while organizational development focuses on improving the overall performance and effectiveness of the organization.
Corporate Governance and Compliance: This involves ensuring that the organization operates ethically, transparently, and in accordance with relevant laws and regulations. Strong corporate governance practices build trust with stakeholders and protect the organization's reputation.
By developing a comprehensive understanding of business management and related topics, you'll gain the knowledge and skills necessary to build a successful career, make a positive impact, and contribute to the growth and development of your organization.
Description
Master Course – Developing Business Partnerships 2.0
In today’s dynamic business landscape, strategic partnerships are essential for growth, innovation, and competitive advantage. This advanced course provides a comprehensive framework for identifying, structuring, and managing successful business alliances. Participants will explore key principles of partnership development, including legal considerations, financial strategies, and effective communication to foster collaboration and long-term success. Through real-world examples and case studies, learners will gain insights into the evolving role of partnerships in modern business ecosystems.
The course delves into the latest trends and technologies that impact business collaborations, such as AI-driven decision-making, data analytics, and digital tools for partner management. Participants will learn how to assess potential partners, negotiate agreements, and implement risk management strategies to ensure sustainable growth. Practical exercises and interactive discussions will help learners develop essential skills in conflict resolution, trust-building, and performance measurement, enabling them to maximize the value of their partnerships.
By the end of the course, participants will have the expertise to scale and expand business partnerships, leveraging joint ventures, mergers, and strategic alliances for long-term success. Whether you are an entrepreneur, business leader, or corporate strategist, this course will equip you with the knowledge and tools to build resilient and high-impact business collaborations in the digital era.
In this master course, I would like to teach major topics:
Module 1: Foundations of Strategic Business Partnerships
Module 2: Identifying and Evaluating Potential Partners
Module 3: Structuring Effective Partnership Agreements
Module 4: Communication and Relationship Management
Module 5: Leveraging Technology for Collaboration
Module 6: Financial Strategies for Successful Partnerships
Module 7: Scaling and Expanding Partnerships
Module 8: Measuring Success and Continuous Improvement
Enroll now and learn today !
Description
Selling Into the Pharmaceutical Industry 2.0
The pharmaceutical industry presents unique challenges and opportunities for sales and customer success professionals. This course provides a comprehensive understanding of the industry landscape, key stakeholders, and regulatory requirements that shape pharmaceutical sales. Learners will gain insights into compliance standards, ethical selling practices, and the critical role of product knowledge in effectively positioning pharmaceutical solutions. By understanding the complexities of drug approval, market competition, and industry trends, professionals will be better equipped to navigate this highly regulated and evolving sector.
Beyond industry fundamentals, this course emphasizes relationship-building strategies with healthcare professionals (HCPs), hospital procurement teams, and key decision-makers. Participants will develop skills in value-based selling, crafting compelling value propositions, and handling objections with confidence. Additionally, learners will explore the pharmaceutical purchasing process, including working with Group Purchasing Organizations (GPOs), insurance providers, and regulatory bodies to drive successful sales outcomes.
To stay ahead in the evolving pharmaceutical sales landscape, professionals must leverage technology and data-driven insights. This course explores the use of CRM tools, AI-driven analytics, and digital engagement strategies to optimize sales performance. By the end of the course, learners will have the knowledge and tools to develop a long-term sales strategy, execute successful campaigns, and advance their careers in pharmaceutical sales. Whether you're new to the field or looking to refine your expertise, this course will equip you with the skills necessary to succeed in selling into the pharmaceutical industry.
In this master course, I would like to teach the major topics:
Introduction to Pharmaceutical Sales
Regulatory Compliance and Ethical Selling
Product Knowledge and Market Positioning
Building Relationships with Healthcare Professionals (HCPs)
Value-Based Selling and Competitive Advantage
Navigating the Pharmaceutical Purchasing Process
Leveraging Data and Digital Tools in Pharma Sales
Sales Strategy, Execution, and Career Growth
Enroll now and learn today !
Description
Welcome to Course: Professional Diploma in Customer Centricity & Design Thinking by MTF Institute
video materials of that course equal to course: Research Methodologies in Strategy and Product Development,
and you will see additional articles
Course provided by MTF Institute of Management, Technology and Finance
MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.
MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.
MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.
MTF is present in 208 countries and has been chosen by more than 400 000 students.
Course Author:
Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.
In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.
In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.
Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.
With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.
Customer Centricity is a business philosophy that puts the customer at the heart of every decision. It's about understanding their needs, wants, and motivations, and then using that information to create products, services, and experiences that delight them.
Design Thinking is a human-centered problem-solving process that helps you develop solutions that are not only feasible but also desirable. It's a iterative approach that involves understanding the problem, brainstorming solutions, prototyping, testing, and refining.
Key Focuses:
Empathy: Both customer centricity and design thinking require a deep understanding of the people you're designing for. This means putting yourself in their shoes and seeing the world from their perspective.
Iteration: Neither process is linear. You'll learn as you go and need to be prepared to adapt your ideas based on new information.
Testing: It's crucial to test your ideas with real customers to see how they respond. This helps ensure that you're creating something that people actually want and need.
Why They're Important:
For Companies:
Increased Customer Satisfaction and Loyalty: By focusing on what customers want, you're more likely to create products and services that they'll love. This leads to higher satisfaction, loyalty, and repeat business.
Improved Innovation: Customer centricity and design thinking can help companies develop new products and services that are more likely to be successful.
Reduced Costs: Understanding customer needs upfront can help avoid costly mistakes down the road.
For Careers:
In-Demand Skills: The ability to think creatively and solve problems from a customer's perspective is highly sought after by employers.
Increased Marketability: These skills can help you stand out from the competition and land your dream job.
Better Problem-Solving: You'll develop a more holistic approach to problem-solving that considers not just the technical feasibility of a solution but also its desirability and usability.
Description
Welcome to course Professional Diploma in M&A Business Mergers, Acquisitions, Consolidations by MTF Institute
Course provided by MTF Institute of Management, Technology and Finance
MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.
MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.
MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.
MTF is present in 208 countries and has been chosen by more than 380,000 students.
Course Author: Igor Dmitriev
Head and Managing Director of several M&A projects and deals, practical M&A expert
Digital Transformation and Banking Expert
Education:
MBA, The Boston University
Master of Science at Engineering (Technical) Management,
The State University of New York at Buffalo
Master of Science at Informatics and Economics,
Six Sigma Black Belt
Experience:
Expert at Banking (> 18 years), FinTech & Digital (> 15 years),
Experienced Manager (> 14 years) with successful track of records
at personal and corporate entrepreneurship.
More than 12 years at worldwide banking groups such us
Societe Generale , Raiffeisenbank
Experience at roles: CEO, Head of Business, Chief Digital &
Marketing Officer, Head of Digital Transformation and Channels, Head of Products and Marketing.
What are Mergers and Acquisitions (M&A)?
Merger: Two companies of relatively similar size combine forces to create a new, single entity. This is often a move for market expansion or gaining a competitive edge.
Acquisition: One company purchases a majority stake or all of another company. The acquiring company gains control of the acquired company's assets and operations. This can be done to enter new markets, eliminate competition, or gain new technology resources.
Key Pitfalls in M&A
Culture Clash: Combining distinct company cultures can lead to employee conflicts, low morale, and a decline in productivity.
Overpaying: Enthusiasm can lead companies to overpay for an acquisition, resulting in financial losses down the line.
Poor Integration: Failure to smoothly integrate systems, processes, and teams creates operational chaos and hinders the potential of the combined entity.
Lack of Due Diligence: Insufficient research about the target company's financial health, legal standing, or market position might expose hidden liabilities and risks.
Loss of Focus: The complexity of the M&A process can distract from core business operations, leading to neglected customers or missed opportunities.
Why is Learning About M&A Important for Companies and Managers?
Strategic Growth: M&A can be a powerful tool to expand into new markets, acquire new technologies, eliminate competitors, or increase market share significantly.
Responding to Market Changes Companies must adapt to industry shifts. An M&A strategy can be vital for staying ahead of the competition or even surviving.
Leadership Development: M&A success relies heavily on the ability of managers to navigate complexity, integrate teams, and make crucial decisions under pressure.
How Can M&A Skills Support Career Development?
Increased Demand: As M&A activity continues to be prevalent, professionals with these skills are highly sought after by companies, investment banks, and consulting firms.
Leadership Opportunities: M&A skills signal strategic thinking, problem-solving abilities, and a talent for execution – all assets for leadership roles.
Broader Skillset: M&A involves exposure to various aspects of business such as finance, valuation, negotiation, and legal, thus developing a more versatile skillset.
Higher Compensation: M&A professionals often command higher salaries due to their specialized knowledge and in-demand skillsets.
Description
Welcome to course Professional Certificate: Digital Business & Unit Economics by MTF Institute
Course provided by MTF Institute of Management, Technology and Finance
MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.
MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.
MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.
MTF is present in 208 countries and has been chosen by more than 400 000 students.
Digital Transformation: Digital transformation refers to the integration of digital technology into all areas of a business, fundamentally changing how it operates and delivers value to customers. It involves leveraging digital technologies such as cloud computing, artificial intelligence, data analytics, Internet of Things (IoT), and others to streamline processes, enhance customer experiences, and drive innovation. Digital transformation isn't just about adopting new technologies; it's about reimagining business models and processes to stay competitive in the digital age.
Digital Business Development: Digital business development focuses on utilizing digital technologies and strategies to expand a company's reach, improve its products or services, and increase revenue streams. It involves activities such as digital marketing, e-commerce, online partnerships, and digital product innovation. Digital business development aims to capitalize on the opportunities presented by the digital landscape to grow the business and create new value for customers.
Unit economics is a fundamental concept in business that focuses on understanding the direct revenues and costs associated with a particular business model or product at a per-unit level. These "units" can be customers, orders, products, or any other relevant metric. Analyzing unit economics helps companies and experts assess the sustainability and profitability of their operations.
Here's why learning about unit economics is crucial for both experts and companies:
Sustainability and Profitability Assessment: Unit economics provide a clear view of whether a business is sustainable and profitable. By examining the revenue generated and the costs incurred on a per-unit basis, experts and companies can evaluate if they are making money or losing it with each sale or customer acquisition.
Scaling Decisions: Understanding unit economics is vital for making informed decisions about scaling a business. If the cost to acquire a customer is higher than the revenue generated from that customer over time, it may not be sustainable to scale the business without making changes.
Business Model Optimization: Unit economics analysis allows experts and companies to identify areas for optimization. It helps in finding cost-effective ways to acquire and retain customers, reduce operational costs, and increase average revenue per unit.
Investor Confidence: For startups and growing companies, demonstrating positive unit economics is often essential to attract investors. It shows that the business model is sound and has the potential for long-term profitability.
Risk Management: By understanding unit economics, companies can identify potential risks early. If the per-unit cost is too high, it may lead to financial instability or bankruptcy in the long run.
Pricing Strategies: Unit economics are key in setting appropriate pricing for products or services. Companies can determine the right balance between pricing and costs to maximize profitability.
Strategic Decision-Making: Business decisions related to product development, marketing campaigns, and resource allocation should be guided by a deep understanding of unit economics. It helps in focusing resources on high-impact areas.
Developing skills related to unit economics can be highly beneficial for building a career in various fields, including business, finance, and entrepreneurship:
Entrepreneurship: Entrepreneurs who understand unit economics can create and refine business models that are more likely to succeed. This knowledge is crucial for securing funding and effectively managing their startups.
Finance and Investment: Professionals in finance and investment need to evaluate the financial health of companies. An understanding of unit economics helps them assess the viability of potential investments.
Marketing and Sales: Marketers can make informed decisions about customer acquisition channels and campaigns based on the cost to acquire a customer and the customer's lifetime value. Sales teams can prioritize high-value leads.
Operations and Supply Chain Management: Professionals in operations and supply chain management can optimize processes, reduce costs, and improve efficiency by analyzing the unit economics of production and distribution.
Consulting and Advisory Roles: Consultants and advisors who can help companies optimize their unit economics are highly sought after. They can provide valuable insights and recommendations.
Unit economics is a critical aspect of business strategy and financial analysis. Learning about unit economics is essential for making informed decisions, ensuring a sustainable business model, and building a successful career in various fields related to business and finance.
Description
Selling to financial institutions requires a deep understanding of industry regulations, customer expectations, and complex decision-making processes. This course equips sales and customer success professionals with the knowledge and skills to navigate the unique landscape of finance companies. Learners will explore key compliance considerations, develop effective communication techniques, and master relationship-building strategies tailored to financial clients. By understanding the risk-averse nature of the industry, participants will learn how to position their products and services in a way that aligns with the needs and priorities of financial decision-makers.
Through a structured approach, this course covers essential sales strategies, objection-handling techniques, and the role of technology in financial sales. Learners will discover how to adapt to fintech advancements, leverage AI-driven sales tools, and optimize long-term engagement with finance clients. By the end of the course, participants will be able to measure sales performance effectively, refine their approaches based on key metrics, and implement continuous improvement strategies to drive success in selling to financial institutions.
In this master course, I would like to teach 8 major topics:
Module 1: Understanding the Finance Industry Landscape
Module 2: Customer Expectations in Finance Companies
Module 3: Effective Communication Strategies
Module 4: Relationship Management in Financial Sales
Module 5: Selling Strategies for Financial Institutions
Module 6: Handling Objections and Complex Sales Cycles
Module 7: Technology and Innovation in Financial Sales
Module 8: Measuring Success and Continuous Improvement
Enroll now and learn today !
Description
If you've ever wondered how Shopify works and are interested in learning how to use it, or whether it's right for your online business, know that it is one of the best and most accessible eCommerce platforms on the Internet due to its simple and approachable design along with its multitude of abilities, special features, and a wide range of integrations and partnerships with other eCommerce platforms and online marketplaces. Because of this, Shopify is one of the most popular options for new entrepreneurs and business owners when setting up their online store or business. If you're a business owner who is ready to take your business online, whether selling digital services or physical products, then Shopify is one of the best ways to go!
In my Learn Shopify Now: Shopify for Beginners course, I take a detailed and step-by-step approach, beginning from creating your account all the way to setting up your online store. In this course, you'll be shown which steps you need to take in order to get started, the functions of each button, the terminologies used that are related to Shopify, and much more. In addition, there are quizzes to help you reinforce what you've learned along the way along with easy-to-follow video lectures that contain clear explanations. So if you're ready to take your business to the next level, then enroll in this course today to learn how to use one of the best eCommerce hosting platforms on the Internet: Shopify! Your business will thank you for it.
Description
You will learn Everything from having the right MIND-SET for a Sales career to Calling Prospects, to Presenting, Handling Objections, Closing Sales, and Follow-up to get Referrals. I teach Corporations and individuals how to Master the Art of Selling using Psychology and Human Nature.
Over the years, I have owned 8 businesses in 8 different industries. What I learned was that what worked in one industry doesn't work in another industry. So I've learned how to become adaptable in sales. Then I had to teach my teams how to excel in their sales careers.
I'm a Best-Selling author on Amazon for my book called Master Of The One Call Close!
In one of my careers, I was responsible for 47 offices and 850 salespeople. In six years I helped take the company from 28M a year to 99M!
In the past 3 years, I have taught Corporate sales teams and private individuals across 34 countries and I've got over 700 FIVE-STAR REVIEWS. Gone are the days of old selling methods. You have to learn how to deal with and read your Prospect reactions. You have to learn the psychology of sales instead of using tricks or old-fashioned methods. By the end of this course, your Sales Skills will be excellent and your value to any employer will be greatly enhanced.
Design
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Description
Note: this course is full of real-world examples of 2D drawing, 3D modelling and rendering in various projects.
Those who like to turn their innovative ideas into reality and model everything in their minds can achieve their goals easily and in the shortest possible time with this course. Also, if you are looking for a complete package of 3D modeling and rendering, with this course you can start learning SketchUp, Lumion and V-Ray at the lowest cost.
Looking to combine SketchUp, Lumion and Vray for great presentations?
Do you want to create amazing animations and visualizations with Lumion?
Want to learn from an experienced instructor with practical lessons?
Master the essentials of 3D modeling and visualization with our comprehensive SketchUp with Lumion/V-Ray course. Starting from zero, this course provides in-depth training on SketchUp for creating detailed models, Lumion for breathtaking animations, and V-Ray for photorealistic rendering. Ideal for both beginners and seasoned professionals, you will gain practical skills and hands-on experience to elevate your design projects. No Prior Experience Needed – Learn Fast!
Check out the exciting gifts I've prepared for you on Lecture 1, before enrolling the course!
"These are some of the key topics covered in this course:
Introduction to basic SketchUp: Learn fundamental SketchUp techniques.
Mastering SketchUp: From 2D Drafting to Detailed 3D Modeling, Plans, Sections, and Elevations
Mastering SketchUp: Crafting Stairs, Windows, Louvres, Rafters, and Flushing Details
Enhancing Visuals: Material, Texture, Lighting, and Shadow Setup for 2D, 360° Panorama rendering, and 3D Animation in Lumion
Advanced Rendering Techniques: Creating PBR Materials, HDRI Images, Sunlight, V-Ray Lighting, and Camera Settings in V-Ray
Architectural Visualization: Creating Diagrams, VR Experiences, and 3D Tours
File Conversion Mastery: Exporting SKP Files to AutoCad
Transforming Environments: Designing Landscapes and Controlling Weather in Lumion
When you buy this course, feel free to ask me any questions. I'm here to support you throughout your learning journey. Plus, our strong support team is here to help you in every possible way throughout this journey.
Enroll now to transform your creative ideas into stunning visual realities!
Description
Note: This is a project-based course, where all the topics covered are explored through real-world projects.
Have you ever wanted to design dynamic, parametric architectural elements in Revit, but found it challenging to create fully customizable, BIM-compliant families?
Do you dream of building parametric facades, windows, doors, or furniture that adapt to different design scenarios, giving you total flexibility?
Would you like to master advanced techniques in parametric modeling, from modular facades to organic patterns, and create components that integrate seamlessly into your projects?
If you answered "yes" to any of these questions, then this course is exactly what you've been looking for!
In this Revit Parametric Family Masterclass, you'll learn how to design advanced parametric models using Revit's family editor, formulas, and adaptive components. This course is packed with real-world examples, where you'll model modular facades, parametric louvers, movable panels, organic patterns, and more—each with flexible, real-world applications that can be integrated into your BIM workflows.
Our goal is to equip you with the knowledge to create fully customizable, parametric components that meet the needs of modern architecture. By the end of this course, you’ll be able to create complex parametric models that adapt to your design goals, ensuring your Revit projects are as flexible and professional as possible.
Headlines:
Gaining expertise in different parameter types in Revit, including Instance, Type, Global, and Shared parameters.
Mastering parametric modeling using formulas and adaptive components.
Designing flexible modular façades with customizable wave intensity control.
Creating various types of parametric louvers, including regular, irregular, broken, and curved designs.
Developing movable panels that rely on complex mathematical relationships for dynamic functionality.
Building stunning organic 3D patterns and Voronoi-based panels in Revit.
Designing interlocked infinite forms, pushing the boundaries of architectural design in Revit.
Mastering the creation of fully parametric openings using the Family Editor in Revit.
Navigating through advanced Revit environments such as Curtain Panel pattern-based, Conceptual Mass, Generic Model, and Adaptive Generic Model.
Applying advanced parametric relationships to craft professional, adaptable designs for modern architectural projects.
By the end of this course, you'll be able to create stunning parametric models and BIM-ready families that will elevate your Revit designs and workflows. Whether you're working on complex architectural forms, modular facades, or customizable furniture, you'll gain the skills to create flexible, adaptive designs that fit every project need.
And remember, once you enroll, I’ll be here to support you every step of the way, whether it’s answering questions or tackling challenges together!
Development
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Description
In today’s AI-driven world, the demand for efficient, reliable, and scalable Machine Learning (ML) systems has never been higher. MLOps (Machine Learning Operations) bridges the critical gap between ML model development and real-world deployment, ensuring seamless workflows, reproducibility, and robust monitoring. This comprehensive course, Mastering MLOps: From Model Development to Deployment, is designed to equip learners with hands-on expertise in building, automating, and scaling ML pipelines using industry-standard tools and best practices.
Throughout this course, you will dive deep into the key principles of MLOps, learning how to manage the entire ML lifecycle — from data preprocessing, model training, and evaluation to deployment, monitoring, and scaling in production environments. You’ll explore the core differences between MLOps and traditional DevOps, gaining clarity on how ML workflows require specialized tools and techniques to handle model experimentation, versioning, and performance monitoring effectively.
You’ll gain hands-on experience with essential tools such as Docker for containerization, Kubernetes for orchestrating ML workloads, and Git for version control. You’ll also learn to integrate cloud platforms like AWS, GCP, and Azure into your MLOps pipelines, enabling scalable deployments in production environments. These skills are indispensable for anyone aiming to bridge the gap between AI experimentation and real-world scalability.
One of the key highlights of this course is the practical, hands-on projects included in every chapter. From building end-to-end ML pipelines in Python to setting up cloud infrastructure and deploying models locally using Kubernetes, you’ll gain actionable skills that can be directly applied in real-world AI and ML projects.
In addition to mastering MLOps tools and workflows, you'll learn how to address common challenges in ML deployment, including scalability issues, model drift, and monitoring performance in dynamic environments. By the end of this course, you’ll be able to confidently transition ML models from Jupyter notebooks to robust production systems, ensuring they deliver consistent and reliable results.
Whether you are a Data Scientist, Machine Learning Engineer, DevOps Professional, or an AI enthusiast, this course will provide you with the skills and knowledge necessary to excel in the evolving field of MLOps.
Don’t just build Machine Learning models — learn how to deploy, monitor, and scale them with confidence. Join us in this transformative journey to Master MLOps: From Model Development to Deployment, and position yourself at the forefront of AI innovation.
This course is your gateway to mastering the intersection of AI, ML, and operational excellence, empowering you to deliver impactful and scalable AI solutions in real-world production environments.
Description
This AI Development Bootcamp is designed to guide learners through a series of 30 practical projects, each aiming to build foundational skills and a solid understanding of various AI concepts and machine learning techniques. The course begins with simple and approachable projects, gradually moving into more complex applications. By the end, participants will have an impressive portfolio of projects that span across diverse areas such as natural language processing, image classification, recommendation systems, predictive modeling, and more. Each project offers a hands-on learning experience and focuses on a particular machine learning concept, algorithm, or tool.
The journey begins with creating a basic calculator using Python. This project introduces participants to coding logic and familiarizes them with Python syntax. Although simple, this project is essential as it lays the groundwork for understanding how to design basic applications in Python. From here, learners move to a more complex task with an image classifier using Keras and TensorFlow. This project involves working with neural networks, enabling learners to build a model that can distinguish between different classes of images. Participants will gain experience with training and validating a neural network, understanding key concepts such as activation functions, convolutional layers, and data preprocessing.
A simple chatbot using predefined responses comes next, giving learners a taste of natural language processing. This project provides an introduction to building conversational agents, where the chatbot responds to user queries based on predefined rules. While it’s basic, it forms the foundation for more advanced NLP projects later on in the course. Moving on to the spam email detector using Scikit-learn, learners tackle text classification using machine learning. This project demonstrates how to process text data, extract relevant features, and classify messages as spam or not spam. Participants will work with techniques like TF-IDF vectorization and Naive Bayes, key tools in the NLP toolkit.
Human activity recognition using a smartphone dataset and Random Forest introduces the concept of supervised learning with time-series data. Here, participants will use accelerometer and gyroscope data to classify various physical activities. This project showcases the versatility of machine learning in handling complex, real-world data. Following this, sentiment analysis using NLTK allows learners to dive deeper into NLP by determining the sentiment behind text data. This project involves cleaning and tokenizing text, as well as using pre-built sentiment lexicons to analyze emotional undertones in social media posts, reviews, or comments.
Building a movie recommendation system using cosine similarity is another exciting project. Here, participants learn to create collaborative filtering systems, which are essential for personalizing user experiences in applications. By comparing user preferences and suggesting movies similar to what they have previously liked, participants gain insights into how recommendation engines function in popular platforms. Predicting house prices with linear regression then brings the focus back to supervised learning. Using historical data, learners build a model to predict house prices, introducing them to the basics of regression, data cleaning, and feature selection.
Weather forecasting using historical data takes learners through time-series prediction, an essential skill for handling sequential data. Participants will explore different modeling approaches to forecast weather trends. Following this, the bootcamp covers building a basic neural network from scratch. Here, participants write their own implementation of a neural network, learning about the intricacies of forward and backward propagation, weight updates, and optimization techniques. This project offers a hands-on approach to understanding neural networks at a granular level.
The course then progresses to stock price prediction using linear regression. This project teaches learners how to apply predictive modeling techniques to financial data, examining trends and patterns in stock prices. Predicting diabetes using logistic regression covers binary classification, where learners will predict the likelihood of diabetes in patients based on medical data. This project emphasizes the importance of healthcare data analytics and gives participants practical experience in building logistic regression models.
The dog vs. cat classifier project with a CNN introduces convolutional neural networks. This is a key project in image classification, as participants work on creating a model that differentiates between images of cats and dogs. With this project, learners gain a practical understanding of how CNNs work for image recognition tasks. Next, the Tic-Tac-Toe AI using the Minimax Algorithm introduces the concept of game theory and decision-making. The AI will learn to play optimally, providing participants with a foundation in developing game AI.
In credit card fraud detection using Scikit-learn, participants work on building a model that can identify fraudulent transactions, focusing on anomaly detection techniques. This project is highly applicable in financial services and demonstrates the importance of data-driven fraud detection systems. For Iris flower classification, learners utilize decision trees, one of the most interpretable machine learning algorithms. This project provides insight into how decision boundaries are formed and how simple classification algorithms operate.
Building a simple personal assistant using Python speech libraries allows learners to integrate speech recognition and text-to-speech features. This project enhances programming skills in creating voice-activated applications. The text summarizer using NLTK helps participants explore text summarization techniques, which are useful in applications that require condensing information from large documents or articles. In fake product review detection, participants delve into NLP for identifying deceptive reviews, building skills that are crucial in maintaining integrity on e-commerce platforms.
Detecting emotion in text using NLTK introduces emotion analysis, where participants will learn to classify text into categories such as happiness, sadness, anger, and more. This project is highly relevant for applications that require sentiment and emotion recognition. The book recommendation system using collaborative filtering is a practical extension of earlier recommendation techniques, allowing participants to explore more advanced methods for user personalization. Predicting car prices with Random Forest further reinforces regression and classification skills. Participants work on modeling car pricing, which is relevant in automotive industry applications.
The course also includes identifying fake news using Naive Bayes, a critical skill in today’s information landscape. Participants will learn techniques to detect misinformation, equipping them with skills to work on data integrity projects. In the resume scanner using keyword extraction, learners create a tool for analyzing resumes and identifying relevant skills based on job descriptions. This project provides insights into how text matching can be used in HR applications. Finally, the customer churn prediction project teaches participants how to model customer behavior and predict churn, which is crucial for customer retention strategies in many industries.
Throughout the course, each project builds on the concepts learned in previous projects, creating a comprehensive learning path. By working through these projects, participants will develop strong skills in data preprocessing, feature engineering, model training, evaluation, and deployment. They will also learn to work with different types of data, from text and images to time-series and tabular data. This bootcamp is structured to accommodate both beginners and those with some programming experience, providing a gradual learning curve that leads to increasingly complex applications.
With each project, learners not only build technical skills but also improve problem-solving abilities. The course emphasizes real-world applications, helping participants see how AI techniques are used in industries such as finance, healthcare, e-commerce, entertainment, and more. The hands-on approach encourages creativity and experimentation, allowing learners to adapt and improve their models based on project requirements. By the end of the course, participants will have completed a diverse portfolio of projects that demonstrate their proficiency in AI and machine learning, giving them the confidence to tackle AI challenges independently.
The bootcamp format is intensive but highly rewarding, designed to keep learners motivated and engaged. By dedicating a day to each project, participants immerse themselves in learning without overwhelming complexity, ensuring steady progress. The projects are structured to introduce core AI techniques incrementally, helping learners grasp each concept thoroughly before moving on to the next. This bootcamp is a unique opportunity to acquire industry-relevant skills in a short period, making it ideal for anyone interested in breaking into the field of AI or enhancing their technical abilities.
Description
Welcome to Python for Beginners, the ultimate starting point for anyone looking to dive into the world of programming with Python. Whether you are a complete novice or someone looking to brush up on their skills, this course is designed to equip you with the essential knowledge and hands-on experience to become proficient in Python programming. We will use Google Colab, a free platform that does not require installing any additional software, and enables code execution on Google servers instead of locally, on your computer.
What You'll Learn:
This comprehensive course is structured to provide you with a clear and practical understanding of Python, starting from the basics and progressing to more complex concepts. Here's what you'll cover:
Input and Output methods, Variables and Data types including conversion between different types, Operators
Prompting AI to generate code
Branching: Conditional operators, If, If-else, If-elif-else
Loops: While and For loops, Strings & loops
Functions in Python
Lists and Tuples
Who This Course is For:
Absolute beginners with no prior programming experience
Individuals looking to learn Python for personal or professional development
Students and professionals who need a refresher on Python basics
Why Enroll:
Hands-On Learning: Engage in practical exercises to solidify your understanding.
Expert Guidance: Learn from an experienced instructor who will guide you through each step.
Flexible Learning: Access course materials anytime, anywhere, and learn at your own pace.
Supportive Community: Join a community of learners and get support whenever you need it
Description
Are you ready to dive into the world of API testing and master the art of Webservices API testing using Postman? Welcome to the most comprehensive course designed to make you an API testing expert.
In today's digital era, APIs power the connectivity of the web. This course is your gateway to becoming a skilled API tester, leveraging the full potential of Postman to test RESTful Web Services with confidence.
What You Will Learn:
Postman Basics: Start with the fundamentals of Postman, even if you've never used it before. You'll quickly become proficient in this powerful API testing tool.
API Basics: Understand the core concepts of APIs, the backbone of modern web applications.
REST API: Dive deep into Representational State Transfer (REST) APIs and how they work, gaining insights into their architecture.
RESTful Web Services: Explore RESTful Web Services, learning how to interact with them and validate their functionality.
HTTP Methods: Master various HTTP methods (GET, POST, PUT, DELETE, etc.) to perform a wide range of API operations.
HTTP Status Codes: Gain expertise in interpreting HTTP status codes to identify the success or failure of API requests.
JSON Schemas: Learn to work with JSON schemas to validate and structure API responses accurately.
API Testing: Dive into practical API testing scenarios, from simple requests to complex workflows, ensuring the quality and reliability of APIs.
Why Enroll in This Course?
Hands-On Learning: Gain practical experience through hands-on exercises, quizzes, and real-world API testing projects.
Expert Instruction: Learn from experienced instructors with a deep understanding of API testing and Postman.
Career Advancement: Enhance your career prospects by becoming a proficient API tester, a skill highly sought after in the software industry.
Lifetime Access: Enjoy lifetime access to course materials, updates, and a supportive online community.
Don't miss this opportunity to become a Webservices API Testing expert with Postman. Enroll today, and take the first step toward a rewarding career in API testing!
Description
Welcome to the Java Data Structures and Algorithms Masterclass, the most modern, and the most complete Data Structures and Algorithms in Java course on the internet.
At 45+ hours, this is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms in Java. You will see 100+ Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft and how to face Interviews with comprehensive visual explanatory video materials which will bring you closer towards landing the tech job of your dreams!
Learning Java is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! This course will help you in better understanding every detail of Data Structures and how algorithms are implemented in high level programming language.
We'll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer.
After finishing this course, you will be able to:
Learn basic algorithmic techniques such as greedy algorithms, binary search, sorting and dynamic programming to solve programming challenges.
Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications
Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets
Learn how to apply graph and string algorithms to solve real-world challenges: finding shortest paths on huge maps and assembling genomes from millions of pieces.
Why this course is so special and different from any other resource available online?
This course will take you from very beginning to a very complex and advanced topics in understanding Data Structures and Algorithms!
You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course.
You will also see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft.
I cover everything you need to know about technical interview process!
So whether you are interested in learning the top programming language in the world in-depth and interested in learning the fundamental Algorithms, Data Structures and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you!
And this is what you get by signing up today:
Lifetime access to 44+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want
Friendly and fast support in the course Q&A whenever you have questions or get stuck
FULL money back guarantee for 30 days!
This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structures and Algorithms , increase your earning potential or just want a job with more freedom, this is the right course for you!
The topics that are covered in this course.
Section 1 - Introduction
What are Data Structures?
What is an algorithm?
Why are Data Structures and Algorithms important?
Types of Data Structures
Types of Algorithms
Section 2 - Recursion
What is Recursion?
Why do we need recursion?
How Recursion works?
Recursive vs Iterative Solutions
When to use/avoid Recursion?
How to write Recursion in 3 steps?
How to find Fibonacci numbers using Recursion?
Section 3 - Cracking Recursion Interview Questions
Question 1 - Sum of Digits
Question 2 - Power
Question 3 - Greatest Common Divisor
Question 4 - Decimal To Binary
Section 4 - Bonus CHALLENGING Recursion Problems (Exercises)
power
factorial
productofArray
recursiveRange
fib
reverse
isPalindrome
someRecursive
flatten
captalizeFirst
nestedEvenSum
capitalizeWords
stringifyNumbers
collectStrings
Section 5 - Big O Notation
Analogy and Time Complexity
Big O, Big Theta and Big Omega
Time complexity examples
Space Complexity
Drop the Constants and the non dominant terms
Add vs Multiply
How to measure the codes using Big O?
How to find time complexity for Recursive calls?
How to measure Recursive Algorithms that make multiple calls?
Section 6 - Top 10 Big O Interview Questions (Amazon, Facebook, Apple and Microsoft)
Product and Sum
Print Pairs
Print Unordered Pairs
Print Unordered Pairs 2 Arrays
Print Unordered Pairs 2 Arrays 100000 Units
Reverse
O(N) Equivalents
Factorial Complexity
Fibonacci Complexity
Powers of 2
Section 7 - Arrays
What is an Array?
Types of Array
Arrays in Memory
Create an Array
Insertion Operation
Traversal Operation
Accessing an element of Array
Searching for an element in Array
Deleting an element from Array
Time and Space complexity of One Dimensional Array
One Dimensional Array Practice
Create Two Dimensional Array
Insertion - Two Dimensional Array
Accessing an element of Two Dimensional Array
Traversal - Two Dimensional Array
Searching for an element in Two Dimensional Array
Deletion - Two Dimensional Array
Time and Space complexity of Two Dimensional Array
When to use/avoid array
Section 8 - Cracking Array Interview Questions (Amazon, Facebook, Apple and Microsoft)
Question 1 - Missing Number
Question 2 - Pairs
Question 3 - Finding a number in an Array
Question 4 - Max product of two int
Question 5 - Is Unique
Question 6 - Permutation
Question 7 - Rotate Matrix
Section 9 - CHALLENGING Array Problems (Exercises)
Middle Function
2D Lists
Best Score
Missing Number
Duplicate Number
Pairs
Section 10 - Linked List
What is a Linked List?
Linked List vs Arrays
Types of Linked List
Linked List in the Memory
Creation of Singly Linked List
Insertion in Singly Linked List in Memory
Insertion in Singly Linked List Algorithm
Insertion Method in Singly Linked List
Traversal of Singly Linked List
Search for a value in Single Linked List
Deletion of node from Singly Linked List
Deletion Method in Singly Linked List
Deletion of entire Singly Linked List
Time and Space Complexity of Singly Linked List
Section 11 - Circular Singly Linked List
Creation of Circular Singly Linked List
Insertion in Circular Singly Linked List
Insertion Algorithm in Circular Singly Linked List
Insertion method in Circular Singly Linked List
Traversal of Circular Singly Linked List
Searching a node in Circular Singly Linked List
Deletion of a node from Circular Singly Linked List
Deletion Algorithm in Circular Singly Linked List
Method in Circular Singly Linked List
Deletion of entire Circular Singly Linked List
Time and Space Complexity of Circular Singly Linked List
Section 12 - Doubly Linked List
Creation of Doubly Linked List
Insertion in Doubly Linked List
Insertion Algorithm in Doubly Linked List
Insertion Method in Doubly Linked List
Traversal of Doubly Linked List
Reverse Traversal of Doubly Linked List
Searching for a node in Doubly Linked List
Deletion of a node in Doubly Linked List
Deletion Algorithm in Doubly Linked List
Deletion Method in Doubly Linked List
Deletion of entire Doubly Linked List
Time and Space Complexity of Doubly Linked List
Section 13 - Circular Doubly Linked List
Creation of Circular Doubly Linked List
Insertion in Circular Doubly Linked List
Insertion Algorithm in Circular Doubly Linked List
Insertion Method in Circular Doubly Linked List
Traversal of Circular Doubly Linked List
Reverse Traversal of Circular Doubly Linked List
Search for a node in Circular Doubly Linked List
Delete a node from Circular Doubly Linked List
Deletion Algorithm in Circular Doubly Linked List
Deletion Method in Circular Doubly Linked List
Entire Circular Doubly Linked List
Time and Space Complexity of Circular Doubly Linked List
Time Complexity of Linked List vs Arrays
Section 14 - Cracking Linked List Interview Questions (Amazon, Facebook, Apple and Microsoft)
Linked List Class
Question 1 - Remove Dups
Question 2 - Return Kth to Last
Question 3 - Partition
Question 4 - Sum Linked Lists
Question 5 - Intersection
Section 15 - Stack
What is a Stack?
What and Why of Stack?
Stack Operations
Stack using Array vs Linked List
Stack Operations using Array (Create, isEmpty, isFull)
Stack Operations using Array (Push, Pop, Peek, Delete)
Time and Space Complexity of Stack using Array
Stack Operations using Linked List
Stack methods - Push , Pop, Peek, Delete and isEmpty using Linked List
Time and Space Complexity of Stack using Linked List
When to Use/Avoid Stack
Stack Quiz
Section 16 - Queue
What is a Queue?
Linear Queue Operations using Array
Create, isFull, isEmpty and enQueue methods using Linear Queue Array
Dequeue, Peek and Delete Methods using Linear Queue Array
Time and Space Complexity of Linear Queue using Array
Why Circular Queue?
Circular Queue Operations using Array
Create, Enqueue, isFull and isEmpty Methods in Circular Queue using Array
Dequeue, Peek and Delete Methods in Circular Queue using Array
Time and Space Complexity of Circular Queue using Array
Queue Operations using Linked List
Create, Enqueue and isEmpty Methods in Queue using Linked List
Dequeue, Peek and Delete Methods in Queue using Linked List
Time and Space Complexity of Queue using Linked List
Array vs Linked List Implementation
When to Use/Avoid Queue?
Section 17 - Cracking Stack and Queue Interview Questions (Amazon,Facebook, Apple, Microsoft)
Question 1 - Three in One
Question 2 - Stack Minimum
Question 3 - Stack of Plates
Question 4 - Queue via Stacks
Question 5 - Animal Shelter
Section 18 - Tree / Binary Tree
What is a Tree?
Why Tree?
Tree Terminology
How to create a basic tree in Java?
Binary Tree
Types of Binary Tree
Binary Tree Representation
Create Binary Tree (Linked List)
PreOrder Traversal Binary Tree (Linked List)
InOrder Traversal Binary Tree (Linked List)
PostOrder Traversal Binary Tree (Linked List)
LevelOrder Traversal Binary Tree (Linked List)
Searching for a node in Binary Tree (Linked List)
Inserting a node in Binary Tree (Linked List)
Delete a node from Binary Tree (Linked List)
Delete entire Binary Tree (Linked List)
Create Binary Tree (Array)
Insert a value Binary Tree (Array)
Search for a node in Binary Tree (Array)
PreOrder Traversal Binary Tree (Array)
InOrder Traversal Binary Tree (Array)
PostOrder Traversal Binary Tree (Array)
Level Order Traversal Binary Tree (Array)
Delete a node from Binary Tree (Array)
Entire Binary Tree (Array)
Linked List vs Python List Binary Tree
Section 19 - Binary Search Tree
What is a Binary Search Tree? Why do we need it?
Create a Binary Search Tree
Insert a node to BST
Traverse BST
Search in BST
Delete a node from BST
Delete entire BST
Time and Space complexity of BST
Section 20 - AVL Tree
What is an AVL Tree?
Why AVL Tree?
Common Operations on AVL Trees
Insert a node in AVL (Left Left Condition)
Insert a node in AVL (Left Right Condition)
Insert a node in AVL (Right Right Condition)
Insert a node in AVL (Right Left Condition)
Insert a node in AVL (all together)
Insert a node in AVL (method)
Delete a node from AVL (LL, LR, RR, RL)
Delete a node from AVL (all together)
Delete a node from AVL (method)
Delete entire AVL
Time and Space complexity of AVL Tree
Section 21 - Binary Heap
What is Binary Heap? Why do we need it?
Common operations (Creation, Peek, sizeofheap) on Binary Heap
Insert a node in Binary Heap
Extract a node from Binary Heap
Delete entire Binary Heap
Time and space complexity of Binary Heap
Section 22 - Trie
What is a Trie? Why do we need it?
Common Operations on Trie (Creation)
Insert a string in Trie
Search for a string in Trie
Delete a string from Trie
Practical use of Trie
Section 23 - Hashing
What is Hashing? Why do we need it?
Hashing Terminology
Hash Functions
Types of Collision Resolution Techniques
Hash Table is Full
Pros and Cons of Resolution Techniques
Practical Use of Hashing
Hashing vs Other Data structures
Section 24 - Sort Algorithms
What is Sorting?
Types of Sorting
Sorting Terminologies
Bubble Sort
Selection Sort
Insertion Sort
Bucket Sort
Merge Sort
Quick Sort
Heap Sort
Comparison of Sorting Algorithms
Section 25 - Searching Algorithms
Introduction to Searching Algorithms
Linear Search
Linear Search in Python
Binary Search
Binary Search in Python
Time Complexity of Binary Search
Section 26 - Graph Algorithms
What is a Graph? Why Graph?
Graph Terminology
Types of Graph
Graph Representation
Graph in Java using Adjacency Matrix
Graph in Java using Adjacency List
Section 27 - Graph Traversal
Breadth First Search Algorithm (BFS)
Breadth First Search Algorithm (BFS) in Java - Adjacency Matrix
Breadth First Search Algorithm (BFS) in Java - Adjacency List
Time Complexity of Breadth First Search (BFS) Algorithm
Depth First Search (DFS) Algorithm
Depth First Search (DFS) Algorithm in Java - Adjacency List
Depth First Search (DFS) Algorithm in Java - Adjacency Matrix
Time Complexity of Depth First Search (DFS) Algorithm
BFS Traversal vs DFS Traversal
Section 28 - Topological Sort
What is Topological Sort?
Topological Sort Algorithm
Topological Sort using Adjacency List
Topological Sort using Adjacency Matrix
Time and Space Complexity of Topological Sort
Section 29 - Single Source Shortest Path Problem
SWhat is Single Source Shortest Path Problem?
Breadth First Search (BFS) for Single Source Shortest Path Problem (SSSPP)
BFS for SSSPP in Java using Adjacency List
BFS for SSSPP in Java using Adjacency Matrix
Time and Space Complexity of BFS for SSSPP
Why does BFS not work with Weighted Graph?
Why does DFS not work for SSSP?
Section 30 - Dijkstra's Algorithm
Dijkstra's Algorithm for SSSPP
Dijkstra's Algorithm in Java - 1
Dijkstra's Algorithm in Java - 2
Dijkstra's Algorithm with Negative Cycle
Section 31 - Bellman Ford Algorithm
Bellman Ford Algorithm
Bellman Ford Algorithm with negative cycle
Why does Bellman Ford run V-1 times?
Bellman Ford in Python
BFS vs Dijkstra vs Bellman Ford
Section 32 - All Pairs Shortest Path Problem
All pairs shortest path problem
Dry run for All pair shortest path
Section 33 - Floyd Warshall
Floyd Warshall Algorithm
Why Floyd Warshall?
Floyd Warshall with negative cycle,
Floyd Warshall in Java,
BFS vs Dijkstra vs Bellman Ford vs Floyd Warshall,
Section 34 - Minimum Spanning Tree
Minimum Spanning Tree,
Disjoint Set,
Disjoint Set in Java,
Section 35 - Kruskal's and Prim's Algorithms
Kruskal Algorithm,
Kruskal Algorithm in Python,
Prim's Algorithm,
Prim's Algorithm in Python,
Prim's vs Kruskal
Section 36 - Cracking Graph and Tree Interview Questions (Amazon,Facebook, Apple, Microsoft)
Section 37 - Greedy Algorithms
What is Greedy Algorithm?
Well known Greedy Algorithms
Activity Selection Problem
Activity Selection Problem in Python
Coin Change Problem
Coin Change Problem in Python
Fractional Knapsack Problem
Fractional Knapsack Problem in Python
Section 38 - Divide and Conquer Algorithms
What is a Divide and Conquer Algorithm?
Common Divide and Conquer algorithms
How to solve Fibonacci series using Divide and Conquer approach?
Number Factor
Number Factor in Java
House Robber
House Robber Problem in Java
Convert one string to another
Convert One String to another in Java
Zero One Knapsack problem
Zero One Knapsack problem in Java
Longest Common Sequence Problem
Longest Common Subsequence in Java
Longest Palindromic Subsequence Problem
Longest Palindromic Subsequence in Java
Minimum cost to reach the Last cell problem
Minimum Cost to reach the Last Cell in 2D array using Java
Number of Ways to reach the Last Cell with given Cost
Number of Ways to reach the Last Cell with given Cost in Java
Section 39 - Dynamic Programming
What is Dynamic Programming? (Overlapping property)
Where does the name of DC come from?
Top Down with Memoization
Bottom Up with Tabulation
Top Down vs Bottom Up
Is Merge Sort Dynamic Programming?
Number Factor Problem using Dynamic Programming
Number Factor : Top Down and Bottom Up
House Robber Problem using Dynamic Programming
House Robber : Top Down and Bottom Up
Convert one string to another using Dynamic Programming
Convert String using Bottom Up
Zero One Knapsack using Dynamic Programming
Zero One Knapsack - Top Down
Zero One Knapsack - Bottom Up
Section 40 - CHALLENGING Dynamic Programming Problems
Longest repeated Subsequence Length problem
Longest Common Subsequence Length problem
Longest Common Subsequence problem
Diff Utility
Shortest Common Subsequence problem
Length of Longest Palindromic Subsequence
Subset Sum Problem
Egg Dropping Puzzle
Maximum Length Chain of Pairs
Section 41 - A Recipe for Problem Solving
Introduction
Step 1 - Understand the problem
Step 2 - Examples
Step 3 - Break it Down
Step 4 - Solve or Simplify
Step 5 - Look Back and Refactor
Section 41 - Wild West
Description
Ever wondered how top companies build and deploy Django applications that scale to millions of users?
Discover the secrets of professional Django development in this course that takes you from complete beginner to AI-integrated deployment master. This isn't your typical Django tutorial – it's an immersive journey into real-world application development that actually powers modern businesses.
Throughout this masterclass, you'll build a production-grade Restaurant Management System from the ground up, followed by an AI-powered Email Application that showcases modern integration techniques. You'll learn exactly how professional developers structure their projects, implement robust testing strategies, and write clean, maintainable code that scales.
While other courses barely scratch the surface, we dive deep into the advanced territory that employers demand: custom admin interfaces, complex form handling, API development, and battle-tested security practices. You'll master the Django MVT architecture through hands-on practice, understanding not just the how, but the why behind every decision.
The journey culminates in a real-world deployment phase where you'll learn the exact process of taking your application live. From configuring servers and managing databases to implementing security measures, you'll gain the confidence to handle any development challenge thrown your way. Our AI integration modules ensure your skills remain relevant in today's rapidly evolving tech landscape.
By the time you complete this course, you'll have the skills to architect, build, and deploy Django applications that can handle real-world traffic and scale with your business needs. Stop watching scattered tutorials that leave you confused and join the developers who are building the next generation of web applications. Your journey to mastering Django starts here – are you ready to build something extraordinary?
IT & Software
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Description
Welcome to course Professional Certificate of IBM SPSS Statistics Expert by MTF Institute
Course provided by MTF Institute of Management, Technology and Finance
MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.
MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.
MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.
MTF is present in 210 countries and has been chosen by more than 480 000 students.
Course Author:
Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.
In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.
In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.
Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.
With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.
The IBM® SPSS® Statistics software puts the power of advanced statistical analysis at your fingertips. Whether you are a beginner, an experienced analyst, a statistician or a business professional it offers a comprehensive suite of advanced capabilities, flexibility and usability that are not available in traditional statistical software.
With the user-friendly and intuitive interface of SPSS Statistics, you can easily manage and analyze large datasets, gaining actionable insights for fact-base decisions. Its advanced statistical procedures and modeling techniques enable you to optimize organizational strategies, including predicting customer behaviors, forecasting market trends, detecting fraud to minimize business risk and conducting reliable research to drive accurate conclusions.
Why learn IBM SPSS:
- Intuitive interface: Prepare and analyze data through an intuitive user interface with drag-and-drop functionality, eliminating the need for writing codes.
- Simplified data management: Efficiently integrate data management with statistical analysis, by easily importing, cleaning, and manipulating data within your analytical environment.
- Comprehensive analysis: Conduct descriptive statistics and regression analyses, visualize patterns of missing data, and summarize variable distributions—all within one-stop solution.
- Advanced predictive analytics: Use the predictive modeling capabilities to accurately forecast trends and outcomes, enhancing your business planning and research.
- Customizable output: Tailor analysis outputs and reports to your specific needs with customizable charts, graphs, and tables, optimizing your presentations and insights.
- Open-source integration: Extend SPSS syntax with R and Python through pre-built extensions or custom scripts for personalized data analysis and visualization.
Description
Modern organizations can no longer afford ad-hoc reactions to security breaches. ISO/IEC 27035:2023 delivers a proven, structured framework for detecting, assessing, and resolving information-security incidents—then turning every event into actionable improvement. This step-by-step Udemy course translates the standard’s requirements into plain English, hands-on templates, and repeatable practices that you can use immediately, whether you manage enterprise SOC operations or secure a small cloud workload.
We begin by mapping the ISO 27035:2023 lifecycle—Preparation, Detection & Reporting, Assessment & Decision, Response, Lessons Learned, and Continual Improvement—to real-world threats such as phishing, ransomware, cloud misconfigurations, and insider misuse. You will learn how to build an incident-response policy aligned with ISO 27001 Annex A controls, define roles for your Computer Security Incident Response Team (CSIRT), and establish escalation thresholds that meet both compliance and business-risk appetites.
Next, we dive into practical detection techniques: log correlation, SIEM rules, endpoint telemetry, and threat-intel feeds. Through narrated demos you will configure an incident record, apply severity classification, launch containment playbooks, and maintain an auditable chain of custody. Each section ends with a short knowledge check and downloadable template—policy outline, incident form, communication matrix—to accelerate implementation in your own environment.
The course also covers often-overlooked requirements around evidence preservation, regulatory notification, and cross-team collaboration with HR, legal, and public-relations staff. A dedicated lesson shows how to conduct blameless post-incident reviews, extract measurable lessons learned, and feed them into vulnerability management and security-awareness programs.
Upon completion you will be able to operationalize ISO 27035 quickly, integrate it with NIST CSF or CIS Controls, and demonstrate continuous improvement to auditors and executives alike. No prior audit experience is required—only a basic familiarity with information-security concepts.
Key outcomes include:
Build ISO 27035-aligned response policy
Detect and classify security incidents reliably
Activate playbooks for rapid containment
Coordinate evidence and regulatory reporting
Run reviews and drive continual improvement
Enroll today to turn chaos into a disciplined, metrics-driven incident-management program and boost your organization’s resilience against the next cyberattack.
Description
[This course is still in progress. More content will be added in the coming days]
This course will walk you through the different best practices to be successful with Kubernetes operations. It will guide you through the day 1 and day 2 operations on Kubernetes.
Plan:
Introduction
Kubernetes Cluster Scalability
Manual Pod Scalability
Horizontal Pod Autoscaler (HPA)
Manual Cluster Nodes Scalability
Cluster Autoscaler
Azure Virtual Node
Kubernetes DevOps (Github Actions, Azure DevOps)
Kubernetes Security (Azure Security Center, Pod Identity, Aqua, Kubesec)
Kubernetes Operators
Kubernetes Operations (Kured, Cluster Auditing, Uptime SLA)
Most of the content and best practices are applicable for any Kubernetes cluster. And Azure Kubernetes Service (AKS) is used for the practices that depends on the cluster implementation.
Description
Authored by a Cloud and DevOps engineer, this course will walk you from zero to hero. It explains the concepts related to Infra as Code. It focuses on Azure Cloud platform with all the ecosystem around. The course starts with simple tasks like creating a simple Bicep template, compiling a an ARM JSON template into Bicep and vice versa. Then it evolves to create more advanced templates using variables, different environments (Dev/Test/Prod) until creating modules and registries. It also shows how to automate the deployment of these templates using DevOps pipelines in both Azure DevOps and Github Actions. The author shares his experience working on these kind of deployments every day. At the end of the course, he makes a comparison between Bicep and other OSS famous tools like Terraform.
If you are beginner and willing to learn cloud deployment automation with Azure, then this course is for you. And if you have some experience, then check the course content videos, chances are high you will discover some new tools or concepts.
All the scripts, templates and application code used in this course are available on a public Github repository. They are being updated regularly by the author. So you can fork/clone it and make it yours.
Description
In today’s fast-evolving AI landscape, organizations are struggling with disconnected tools, fragmented workflows, and black-box models that lack transparency. The next phase of enterprise transformation demands more than automation—it demands context-aware systems that can understand, remember, and reason across workflows. This is where the Model Context Protocol (MCP) comes in.
MCP is a new architectural standard that enables intelligent agents to operate with shared memory, persistent context, and structured delegation. It’s the foundation for building explainable, compliant, and scalable AI systems across your organization. This course, MCP for Leaders: Architecting Context-Driven AI, equips executives and strategic decision-makers with the knowledge and frameworks to implement MCP successfully—without needing a technical background.
You’ll begin by understanding the core principles of MCP: how it manages agent memory, routes tasks intelligently, enforces policy-based governance, and integrates with tools like CRMs, ERPs, and data lakes. Through real-world case studies, you’ll see how context-aware agents are transforming operations, legal workflows, HR, compliance, and customer service in both cloud-based and local deployments.
Throughout the course, you’ll learn how to identify ideal first use cases, run MCP vision workshops, and move from pilot projects to full-scale adoption. You’ll explore how to build workflows that are not only intelligent, but auditable, secure, and explainable by design.
Key concepts include:
Agent orchestration using tools like LangGraph
Real-time document and web retrieval with Firecrawl
Memory storage and semantic search via ChromaDB
Governance and compliance through traceable context routing
Integration with existing enterprise infrastructure (CRM, ERP, ITSM)
Building and scaling workflows using MCP maturity models
You’ll also gain insights into local-first MCP systems that protect sensitive data by running entirely inside your infrastructure. These systems enable secure, high-performance AI—without compromising data sovereignty or regulatory compliance. If your organization works in finance, healthcare, law, defense, or any privacy-sensitive sector, this course will show you how to unlock the full power of AI within your security perimeter.
By the end of this course, you won’t just understand MCP—you’ll be ready to lead AI initiatives that scale across departments, improve decision-making, and embed intelligence into the very fabric of your organization.
This course is ideal for:
CIOs, CTOs, and Chief Data Officers
Innovation leaders and digital transformation executives
Heads of AI strategy, operations, legal, HR, or compliance
Cross-functional teams looking to integrate AI and governance
If you’re ready to architect the future of your organization—with clarity, transparency, and intelligence—this course will give you the roadmap to get there.
Description
Embark on a captivating journey through the dynamic realm of technology with "Tech Foundations: An Introductory Course for Non-Techies."
In this engaging course, designed exclusively for individuals without a technical background, you'll unravel the mysteries behind the technologies that shape our lives.
Course Highlights:
1. The Internet Unveiled:
Explore the foundations of the internet and understand how it connects us globally. Grasp the basics of online communication and discover the significance of being digitally interconnected.
2. Hosting and the Cloud Demystified:
Delve into the cloud and hosting technologies, demystifying their role in powering the digital landscape. Learn how these platforms enable seamless access to information and services.
3. Programming Languages Decoded:
Gain insights into the back-end and front-end programming languages driving innovation. No coding experience required - we'll simplify the concepts, providing a non-techie-friendly perspective.
4. Databases: The Heart of Information Management:
Understand the role of databases in storing and managing information effectively. Explore the model behind databases and grasp their significance in our data-driven world.
5. Leveraging Existing Code and Open Source Projects:
Discover the power of existing code, APIs, libraries, and open source projects. Learn how innovation builds upon the collective efforts of the tech community.
6. Collaborative Software Development:
Uncover the collaborative nature of software development. Explore how teams work together to create cutting-edge solutions that impact our daily lives.
7. Navigating the Software Development Process:
Step into the shoes of a software developer and navigate the software development process. Gain an appreciation for the methodologies that bring ideas to life.
8. Troubleshooting and Quality Assurance Simplified:
Explore the world of troubleshooting and quality assurance in software development. Learn how technology professionals ensure products meet the highest standards.
9. Performance and Scalability:
Understand the critical concepts of performance and scalability in technology. Discover how systems adapt and evolve to handle increasing demands.
10. Security Essentials:
Delve into the importance of cybersecurity. Learn about the measures in place to protect digital assets and ensure a secure online environment.
11. Mobile Basics Unveiled:
Explore the foundations of mobile technology and its impact on our daily lives. Gain insights into the mobile ecosystem and its role in the tech landscape.
Join us on this enlightening journey, and emerge with a newfound understanding of the technologies shaping our world. No technical expertise required – just a curious mind ready to explore the wonders of the digital age! Enroll now and be part of the tech revolution!
Marketing
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Description
Ready to revolutionize your B2B sales game in 2025?
In this comprehensive 5-hour masterclass, Tonie Konig, founder of Scaling Founder & Konig Digital, reveals the exact growth hacking strategies, AI tools, and automation workflows that top B2B teams use to crush quotas in 2025.
Stop struggling with outdated sales methods that don't deliver results.
Traditional B2B sales tactics are dying.
Cold calling for hours, sending generic pitches, and praying someone responds?
That's the old playbook, and it's failing fast.
Today's buyers research online, ignore spam, and demand value before they even talk to you.
In this course, you'll discover:
✓ How to target the perfect prospects using data instead of guesswork
✓ The 27-Touch Framework that turns cold prospects into hot leads
✓ AI tools that qualify leads, write compelling emails, and predict buying signals
✓ Automation systems that save you 15+ hours every week
✓ Content strategies that close deals while you sleep
✓ Proven methods to cut your sales cycle by 30% or more
✓ Scalable systems to grow from solo founder to sales team excellence
Real strategies, real results.
This isn't theory – it's battle-tested tactics used by companies like TradeLink to double revenue, RevTech to turn 2% reply rates into 20%, and CloudOps to boost conversion by 5X.
Perfect for:
B2B founders ready to scale
B2B sales professionals looking to exceed quotas
Startup founders trying to scale without burning out
Small business owners ready to implement modern sales approaches
Marketing teams supporting sales efforts
Anyone aiming to leverage automation and AI for growth
What You'll Learn:
Master the growth hacking mindset that turns data into decisions
Build your Ideal Customer Profile (ICP) for laser-focused prospecting
Implement multi-channel outreach across LinkedIn, email, and beyond
Automate 80% of your sales process with cutting-edge tech
Create content that actually converts prospects into customers
Scale your success with systematic, repeatable processes
Transform your sales tech stack into a revenue-generating machine
Use AI for lead qualification, email writing, and predictive insights
Course Content:
Module 1: The Growth Hacking Mindset Establish the foundation for modern B2B sales success, including how TradeLink doubled revenue with data-driven tactics.
Module 2: Targeting High-Value Prospects Master techniques to pinpoint and prioritize the best leads, turning targeting into your superpower.
Module 3: Multi-Channel Outreach Mastery Implement proven strategies across LinkedIn, email, and additional channels to triple your response rates.
Module 4: Automating Your Sales Process Free up 15+ hours weekly with smart automation workflows that never miss a follow-up.
Module 5: AI-Driven Sales Success Leverage artificial intelligence to qualify leads, craft compelling messages, and predict buying behavior.
Module 6: Your Ultimate Sales Tech Stack Build a streamlined, powerful tech ecosystem that accelerates results without complexity.
Module 7: Closing with Content Create problem-solving content and case studies that convert prospects without cold calls.
Module 8: Scaling Your Sales Machine Transform individual success into team excellence with systems that scale predictably.
Assignment: Your 90-day Sales Blueprint A step by step workbook to set you on the path to real life B2B sales growth in the next 90 days
Downloadable Resources (1000+ pages):
ICP Development Template
27-Touch Outreach Framework
3P Email Templates That Get Responses
Lead Scoring Calculator
AI Implementation Playbook
Tech Stack Optimization Guide
Case Study Conversion Formula
Scalable Sales Blueprint
90-Day Growth Implementation Plan
And many more powerful tools!
Your Instructor
Tonie Konig is the founder of Scaling Founder & Konig Digital, where he helps B2B companies implement growth systems that deliver predictable revenue. His clients have achieved remarkable results, including:
153% pipeline increase in 60 days
Sales cycles shortened from 120 days to 65 days
Reply rates improved from 3% to 20%
Teams reclaiming 15+ hours weekly through automation
Beyond this course, Tonie shares weekly tips on the Scaling Founder YouTube channel and works with select clients with a Do It For You solution.
Who This Course Is For
✓B2B Founders READY to SCALE!
✓B2B sales professionals looking to exceed targets
✓ Startup founders wanting to scale efficiently
✓ Small business owners ready for systematic growth
✓ Sales teams trying to improve productivity
✓ Anyone looking to leverage AI and automation in sales
Requirements
Basic familiarity with B2B sales processes
Willingness to implement new strategies and tools
No technical expertise required – everything is explained step-by-step
Don't just work harder—work smarter
Enroll now and transform your B2B sales approach for 2025 and beyond!
Description
The Rise of Influencer Partnerships – How to Drive Authentic Engagement
In today’s digital landscape, influencer marketing has emerged as a powerful strategy for brands to connect with their audiences in an authentic and engaging way. This course explores the evolution of influencer partnerships and their impact on consumer trust, brand awareness, and purchasing behavior. By understanding the fundamentals of influencer marketing, participants will learn how to develop meaningful collaborations that align with brand values and resonate with target audiences.
Through a structured approach, this course will guide learners in identifying the right influencers, crafting compelling content, selecting optimal platforms, and measuring campaign effectiveness. Topics such as ethical considerations, transparency, and legal compliance will also be covered to ensure responsible influencer engagement. Real-world case studies and practical strategies will equip participants with the skills needed to execute high-impact influencer campaigns.
By the end of this course, participants will be able to navigate the dynamic world of influencer marketing with confidence. They will gain insights into emerging trends, including AI-driven influencer strategies and the rise of niche, community-driven content creators. Whether you are a marketing professional, business owner, or aspiring influencer, this course will provide the knowledge and tools to leverage influencer partnerships for long-term brand success.
In this master course, I would like to teach 8 major topics:
Module 1: Introduction to Influencer Marketing
Module 2: Identifying the Right Influencers for Your Brand
Module 3: Building Authentic Influencer Relationships
Module 4: Crafting Engaging and Authentic Content
Module 5: Choosing the Right Platforms and Channels
Module 6: Measuring Success and ROI of Influencer Campaigns
Module 7: Navigating Challenges and Ethical Considerations
Module 8: Future Trends in Influencer Marketing
Enroll now and learn today !
Description
Welcome to course: Professional Diploma in Product Management by MTF Institute
Course provided by MTF Institute of Management, Technology and Finance
MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.
MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.
MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.
MTF is present in 208 countries and has been chosen by more than 380,000 students.
Course Author:
Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.
In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.
In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.
Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.
With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.
What is Product Management?
Product Management is a multifaceted discipline that encompasses the planning, development, marketing, and optimization of a product or service throughout its lifecycle. It involves aligning customer needs with business goals and coordinating cross-functional teams to deliver successful and valuable products. Product managers act as the linchpin between various departments, ensuring seamless communication and collaboration.
Why is Learning Product Management Important for Companies and Experts?
Market Relevance and Competitiveness:
In an era of rapid technological advancements and evolving consumer preferences, companies must stay relevant. Product management equips professionals with the skills to identify market trends, understand customer needs, and develop products that outpace competitors
Customer-Centric Approach:
Successful products are those that solve real problems for customers. Product management emphasizes a customer-centric approach, ensuring that the product aligns with user needs and expectations. This focus enhances customer satisfaction and loyalty
Optimized Resource Allocation:
Product managers are adept at prioritizing features and functionalities based on business goals and customer needs. This strategic allocation of resources ensures that the most critical aspects of a product are addressed, maximizing the impact of limited resources
Effective Communication and Collaboration:
Product managers act as bridges between various departments, fostering effective communication and collaboration. This ensures that development, marketing, sales, and other teams work cohesively toward a common goal, reducing silos and enhancing overall efficiency
Adaptability and Innovation:
The product management discipline encourages a mindset of continuous improvement and innovation. Professionals in this field are equipped to adapt to changing market conditions, incorporate feedback, and drive iterative development, fostering a culture of innovation within the organization
How Knowledge of Product Management Aids Career Development:
Cross-Functional Skillset:
Product management requires a diverse skill set that includes market research, strategic planning, communication, and project management. Professionals with expertise in these areas are highly sought after, making product management a versatile career path
Leadership Opportunities:
Product managers often take on leadership roles, overseeing teams and guiding product development strategies. The ability to lead cross-functional teams and drive product success positions individuals for advancement in their careers
Entrepreneurial Mindset:
Product managers are often viewed as the "CEOs of their products." Learning product management instills an entrepreneurial mindset, empowering individuals to take ownership of their projects and make strategic decisions that impact the success of the product
Global Perspective:
As products have a global reach, product managers gain exposure to international markets and diverse customer bases. This global perspective enhances their ability to navigate the complexities of the modern business landscape
Product management is a critical discipline for companies aiming to thrive in today's dynamic markets. For professionals, mastering product management opens doors to leadership roles, cultivates an entrepreneurial mindset, and provides a comprehensive skill set that is invaluable in the ever-evolving business landscape.
Office Productivity
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Description
Are you drowning in marketing data, spending endless hours updating reports when you should be crafting strategy? Imagine transforming those mundane spreadsheets into stunning, automated dashboards that tell your marketing story at a glance.
Welcome to "Dynamic Excel Reports for Marketing Analytics" – where we turn data overwhelm into your secret weapon for success.
This isn't just another Excel course. We're here to revolutionize how you handle marketing data, taking you from basic spreadsheets to sophisticated, automated dashboards. You'll master essential marketing metrics, from CTRs to customer lifetime value, while learning the power of automation and Gen AI for effortless data cleaning.
The real transformation happens in our hands-on dashboard projects. You'll create interactive visualizations that make your data sing, building both a performance marketing dashboard and a revenue tracker that answer questions before they're asked. Every technique you learn is grounded in real marketing scenarios, ensuring you can apply your skills immediately at work.
Think of this as your journey from spreadsheet struggle to dashboard mastery. By the time you finish, you'll be creating automated reports that update in real-time, designing intuitive visualizations, and presenting data stories that captivate your audience. You'll become the go-to analytics expert on your team, armed with the skills to turn raw data into actionable insights.
The future of marketing is data-driven, and the time to level up is now. Join thousands of marketing professionals who have already transformed their reporting game. Don't let another week go by struggling with static spreadsheets – enroll now and start creating reports that don't just present data – they drive decisions and deliver results.
If you find the coupon expired, please follow us on Telegram to watch for it if released again.
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