Collection of Courses Number 122

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Table of Contents:

Marketing

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Media Training for Democratic Candidates: You Can Win
How Democratic candidates can speak effectively to the media and live audiences throughout their political campaign.
12 hr 136 lectures
English

Description

Imagine yourself speaking as effectively to voters as FDR, Kennedy or Clinton. You can learn the secrets of speaking with passion and substance, to live audiences and the media.

Learn to win votes every time you open your mouth.

        This course is specifically for Democratic candidates running for public office in the United States. Candidates will earn how to develop a stump speech, hold press conferences, speak to live audiences and the media. Additionally, they will learn how to defend themselves from Republican attacks. The course will cover every aspect of developing messages, answering reporters' questions and speaking in sound bites. You will learn how to be a better candidate through this course. You will learn all the essential elements of media training, public speaking and presentation training. 

Course updated on July 23, 2015

There is a 100% Money-Back Guarantee for this course. And the instructor also provides an enhanced guarantee.

TJ Walker has more than 100,000 courses enrollments from more than 14,000 online students around the globe.


This Media Training course is ideal for anyone searching for more info on the following: journalism - media training - radio jockey - confidence on - camera - confidence - radio - camera - camera confidence - video - TJ Walker. Plus, this course will be a great addition to anyone trying to build out their knowledge in the following areas: journalism - videography - confidence.

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Office Productivity

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Excel Accounting 2–Worksheet, Opening Balances, & Subledger
Learn how to set up an accounting system in Excel and add beginning balances from a Certified Public Accountant (CPA)
12 hr 10 lectures
English

Description

In this course we will create an accounting system starting from a blank Excel worksheet and add begging balances to our accounts.

Learners will learn how to navigate Microsoft Excel as well as how to create a well-designed accounting worksheet, complete with a general journal, trial balance, general ledger, and subsidiary ledgers for accounts receivable, accounts payable, & inventory.

Excel is a very good tool to learn accounting because it is much more transparent than a database program, like accounting software, QuickBooks being a common example of accounting software.

For most new steps in the process, you will have access to a downloadable Excel Workbook, containing at least two tabs, one with the answer, the new steps being completed, the other starting out where the prior presentation left off.

Once our accounting system using an Excel worksheet is set up, we will add journal entries to enter beginning balances to our accounts, imagining we are moving from a prior accounting system to our new Excel worksheet system.

When adding the beginning inventory balance to the chart of accounts, we will also add an inventory subsidiary ledger, reporting inventory by item and unit, as well as by cost.

As we add the beginning accounts receivable balance to the chart of accounts, we will also add the accounts receivable subsidiary ledger, showing the money owed to the company by customer.

And when we add the accounts payable balance to the chart of accounts, we will add the accounts payable subsidiary ledger, reporting the money owed by the company to vendors.

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IT & Software

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Building LLM Powered Applications - Create Intelligent Apps
Build intelligent apps with LLMs using Python, LangChain, and prompt engineering—hands-on and practical.
12 hr 50 lectures
English

Description

Are you ready to step into the future of AI development? This comprehensive course will teach you how to build real-world applications powered by Large Language Models (LLMs) like OpenAI’s GPT, Anthropic’s Claude, Meta’s LLaMA, and Mistral. Whether you're a developer, engineer, student, or tech enthusiast, this course will guide you through everything from foundational theory to advanced implementation using modern tools like LangChain, LlamaIndex, and vector databases.

In this hands-on, project-based course, you'll:

  • Understand how LLMs work and how they differ from traditional models

  • Learn the fundamentals of prompt engineering to guide model behavior effectively

  • Explore embedding techniques and how to index knowledge for scalable applications

  • Build your own intelligent agents, chatbots, and assistants

  • Use semantic search, cosine similarity, and vector stores for real-time knowledge retrieval

  • Work with tools like Python, LangChain, OpenAI API, Hugging Face, and more

  • Create an LLM-powered conversational travel assistant from scratch

We also include a Python crash course to ensure every learner has the coding foundation to follow along.

By the end of this course, you’ll not only understand how to integrate LLMs into your applications—you’ll have the practical skills to build your own intelligent tools and deploy them into the real world.

No prior AI experience is required. Let’s build the future—together.

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