Collection of Courses Number 175
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- IT & Software
- Development
IT & Software
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Description
Are you ready to launch a career in one of the most in-demand IT platforms today? Whether you're aiming to become a Servicenow Developer, Tester, or Admin, this comprehensive course will guide you through every step of the process.
In this course, you'll learn everything you need to know to kickstart your career as a Servicenow professional. From mastering the platform basics to understanding the responsibilities of each role, this course is designed to provide you with practical skills, industry insights, and a roadmap to success.
What You'll Learn:
Steps to Become a Servicenow Professional: A step-by-step guide to start and grow your career in ServiceNow.
Skills Required to Learn Servicenow: Explore the technical and soft skills necessary to excel in different roles.
Setting Up Your Servicenow Account and Instance: Learn how to create and manage your own Servicenow instances for practice and development.
Roles and Responsibilities: Detailed insights into the roles and day-to-day tasks of Servicenow Developers, Testers, and Admins.
Agile Methodology: Understand how Agile practices are applied within the Servicenow environment to deliver efficient results.
ServiceNow Certifications: Learn about the certification paths that will validate your skills and boost your credibility.
Interview Preparation: Get expert tips and strategies for Servicenow job interviews, with a focus on real-world scenarios.
Aspiring Developers, Testers, and Admins: Whether you’re new to IT or looking to switch careers, this course is designed to give you a solid foundation in Servicenow.
IT Professionals: Already in the IT field? Expand your skill set by learning Servicenow and transitioning into a high-demand platform.
Students and Graduates: Gain practical knowledge and industry insights that will prepare you for Servicenow certification exams and interviews.
Why Learn Servicenow?
ServiceNow is a leading cloud platform that automates IT Service Management (ITSM), driving digital transformation in organizations around the world. The demand for skilled Servicenow professionals is growing rapidly, making it one of the hottest career paths in IT. With this course, you'll learn the core skills needed to become proficient in Servicenow, helping you:
Land high-paying jobs in IT.
Stay competitive in a fast-evolving tech landscape.
Earn globally recognized certifications that boost your professional credibility.
Description
The ServiceNow Certified System Administrator (CSA) certification is a professional credential that validates an individual's ability to configure, implement, and maintain the ServiceNow platform.
The CSA exam covers a wide range of topics, including:
ServiceNow architecture and terminology
System configuration and management
User and group administration
Change management
Incident management
Problem management
Reporting and analytics
To prepare for the CSA exam, candidates should take the ServiceNow Fundamentals training course and gain hands-on experience with the platform. You should also familiarize with the exam objectives and review the ServiceNow online documentation.
Exam format: Multiple-choice
Exam duration: 90 minutes
Passing score: 70%
The ServiceNow Certified System Administrator (CSA) certification is a valuable credential for IT professionals who want to advance their careers in ServiceNow administration. It is particularly beneficial for those who
Have at least six months of experience working with ServiceNow
Are responsible for the day-to-day administration of the platform
Want to validate their skills and knowledge of ServiceNow
Are looking to increase their earning potential
Here are some specific job titles that may benefit from obtaining the CSA certification
ServiceNow Administrator
IT Support Specialist
Systems Administrator
IT Manager
IT Consultant
If you are considering pursuing a career in ServiceNow administration, I highly recommend getting the CSA certification. It is a valuable credential that will help you stand out from the competition and advance your career
WHY CHOOSE OUR PRACTICE TEST?
I am confident that the practice question bank will help you to prepare for the actual exam and to build your confidence.
I am sharing the practice question bank with others who are preparing for the CSA exam. I hope that it will be helpful to them as they prepare for the exam
Here are some additional things that I would like to say about this practice question bank
I have been working on the question bank for several months, and I am constantly adding new questions and updating the existing questions
I am always looking for feedback on the question bank, so please feel free to send me your thoughts
I hope that the practice question bank will be a valuable resource for those who are preparing for the exam
Thank you for your time
Description
This course involves the use of artificial intelligence(AI).
Unlock your future in Generative AI with the NCA-GENL: NVIDIA-Certified Generative AI LLMs Specialization. This comprehensive course is designed to help you master the foundations of large language models (LLMs), prompt engineering, model alignment, and the powerful NVIDIA AI ecosystem—all while preparing you to pass the NCA-GENL certification exam with confidence.
Whether you're an aspiring AI engineer, data scientist, product manager, or a tech-savvy learner eager to break into the world of transformer-based models, this course will guide you step-by-step. You'll learn the core principles of machine learning, neural networks, and self-attention mechanisms that power modern LLMs like GPT, BERT, and T5. We'll dive deep into fine-tuning strategies, including LoRA and PEFT, and help you master zero-shot, few-shot, and chain-of-thought prompting techniques to enhance model performance.
Hands-on labs and real-world examples will walk you through using NVIDIA tools such as NeMo, Triton Inference Server, TensorRT, cuDF, and Base Command—tools that are essential for deploying and optimizing LLMs at scale.
By the end of this course, you’ll not only be equipped with the technical knowledge to pass the NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) exam—you’ll also gain practical, job-ready skills to thrive in the fast-growing world of AI and LLM deployment.
If you're looking for a clear path into AI certification, a career in LLM applications, or hands-on experience with NVIDIA generative AI tools, this course is your launchpad.
Development
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Description
The Data Engineer Foundations Course is a comprehensive, step-by-step program designed to help you master the core skills, tools, and concepts of modern data engineering. Whether you are a beginner entering the field or an aspiring professional enhancing your expertise, this course blends theoretical knowledge with practical application through structured hands-on labs.
You’ll start by exploring the role of a Data Engineer in today’s data-driven organizations and gain an overview of the modern data ecosystem. The course covers relational databases and NoSQL databases, guiding you on how to efficiently store and retrieve data. You will then dive into data ingestion methods and build ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines, ensuring a strong understanding of data movement across systems.
Next, you’ll explore batch processing frameworks, real-time streaming tools, and gain exposure to major cloud platforms like AWS, Azure, and Google Cloud. You’ll also learn workflow orchestration using tools such as Apache Airflow, alongside automation alternatives. To ensure reliability, the course emphasizes data quality, data governance, and data security, aligning with industry best practices.
Through guided hands-on labs, you’ll ingest, transform, and load datasets, build automated workflows, and apply security controls — working directly with real-world tools.
By the end, you’ll have the knowledge, skills, and confidence to design, build, and maintain scalable, secure, and high-quality data systems — fully prepared to launch or advance your career in data engineering.
Description
Prepare for the DP-900 exam with confidence! This set includes 230 unique practice questions created from scratch and fully compliant with the official 2026 exam syllabus.
The DP-900: Microsoft Azure Data Fundamentals exam syllabus is structured around four main domains, covering core data concepts and how they are implemented using Microsoft Azure data services.
Domain Approximate Weighting
1. Describe core data concepts 25−30%
2. Identify considerations for relational data on Azure 20−25%
3. Describe considerations for working with non-relational data on Azure 15−20%
4. Describe an analytics workload on Azure 25−30%
1. Describe Core Data Concepts (25−30%)
Describe ways to represent data:
Features of structured, semi-structured, and unstructured data.
Identify options for data storage:
Common formats for data files.
Types of databases (e.g., relational, non-relational).
Describe common data workloads:
Features of transactional (OLTP) workloads.
Features of analytical (OLAP) workloads.
Identify roles and responsibilities for data workloads:
Responsibilities for Database Administrators, Data Engineers, and Data Analysts.
2. Identify Considerations for Relational Data on Azure (20−25%)
Describe relational concepts:
Features of relational data (tables, columns, rows).
Normalization and why it is used.
Common SQL statements (DDL and DML).
Common database objects (tables, views, stored procedures).
Describe relational Azure data services:
The Azure SQL family of products (Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines).
Azure database services for open-source database systems (e.g., Azure Database for PostgreSQL, Azure Database for MySQL).
3. Describe Considerations for Working with Non-Relational Data on Azure (15−20%)
Describe capabilities of Azure storage:
Azure Blob storage.
Azure File storage.
Azure Table storage.
Describe capabilities and features of Azure Cosmos DB:
Identify use cases for Azure Cosmos DB (globally distributed, multi-model).
Describe Azure Cosmos DB APIs (e.g., SQL, MongoDB, Cassandra).
4. Describe an Analytics Workload on Azure (25−30%)
Describe common elements of large-scale analytics:
Considerations for data ingestion and processing (ETL/ELT).
Options for analytical data stores (e.g., Data Lakes, Data Warehouses).
Microsoft cloud services for large-scale analytics, including Azure Synapse Analytics and Azure Databricks.
Describe consideration for real-time data analytics:
Difference between batch and streaming data.
Technologies for real-time analytics (e.g., Azure Stream Analytics).
Describe data visualization in Microsoft Power BI:
Identify capabilities of Power BI (interactive reports, dashboards).
Describe features of data models in Power BI.
Description
Welcome to the ultimate guide to mastering Behavior-Driven Development (BDD) with Specflow in C#!
In this comprehensive course, you will embark on a journey to become a testing maestro, seamlessly integrating Specflow into your C# projects. Whether you're a seasoned developer or just starting, this course is your key to unlocking the full potential of BDD for automated testing.
What You'll Learn:
Foundations of BDD: Grasp the core concepts and principles behind Behavior-Driven Development.
Hands-On C# Implementation: Dive deep into C# as you learn to implement Specflow in real-world projects.
Practical Test Automation: Master the art of creating robust and maintainable automated tests using Specflow.
Integration and Best Practices: Seamlessly integrate BDD into your development workflow and apply industry best practices.
Why Enroll:
Expert Guidance: Learn from industry experts with years of experience in Specflow and BDD.
Career Advancement: Boost your resume with valuable automation testing skills.
Project-Based Learning: Gain practical experience through hands-on projects and exercises.
Lifetime Access: Access to course materials and updates for a lifetime.
Who Is This For:
Software Developers and Engineers
QA Engineers and Testers
Anyone looking to enhance their testing skills with Specflow BDD in C#
By the end of this course, you'll be equipped with the knowledge and skills to confidently implement Specflow in your C# projects, ensuring robust, efficient, and high-quality software development.
Join us now, and let's embark on this journey to elevate your testing expertise!
Enroll today and take the first step towards becoming a Specflow BDD master!
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