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OpenAI API and MCP Development

This is the repository for the LinkedIn Learning course OpenAI API and MCP Development. The full course is available from LinkedIn Learning.

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Course Description

Explore the dynamic field of OpenAI API and MCP development with web trainer and developer Sandy Ludosky, and learn how AI can supercharge GitHub Copilot, orchestrate multi-agent systems, and connect to domain-specific data sources. Get started with GitHub Codespaces and MCP servers. Integrate AI models directly within your workflow, automate code reviews, and enhance applications through rich, context-aware agents. Get hands-on experience with setting permissions using access tokens. Harness AI suggestions for code debugging and refactoring tasks with GitHub Actions. Designed for learners with basic Python programming and web development experience, this course empowers you to navigate the AI ecosystem and apply AI models to practical applications. This course prepares you to develop sophisticated AI-enhanced applications that respond intelligently to user queries and task requests.

See the readme file in the main branch for updated instructions and information.

Instructions

This repository has branches for each of the videos in the course. You can use the branch pop up menu in github to switch to a specific branch and take a look at the course at that stage, or you can add /tree/BRANCH_NAME to the URL to go to the branch you want to access.

Branches

The branches are structured to correspond to the videos in the course. The naming convention is CHAPTER#_MOVIE#. As an example, the branch named 02_03 corresponds to the second chapter and the third video in that chapter. Some branches will have a beginning and an end state. These are marked with the letters b for "beginning" and e for "end". The b branch contains the code as it is at the beginning of the movie. The e branch contains the code as it is at the end of the movie. The main branch holds the final state of the code when in the course.

When switching from one exercise files branch to the next after making changes to the files, you may get a message like this:

error: Your local changes to the following files would be overwritten by checkout:        [files]
Please commit your changes or stash them before you switch branches.
Aborting

To resolve this issue:

Add changes to git using this command: git add .
Commit changes using this command: git commit -m "some message"

Instructor

Sandy Ludosky

Web Developer and Trainer

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This repo is for the LinkedIn Learning course: OpenAI API and MCP Development

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