Welcome to the đ€ Model Context Protocol (MCP) Course
Welcome to the most exciting topic in AI today: Model Context Protocol (MCP)!
This free course will take you on a journey, from beginner to expert, in understanding, using, and building applications with MCP.
This first unit will help you onboard:
- Discover the courseâs syllabus.
- Choose the path youâre going to take (either self-audit or certification process).
- Get more information about the certification process and the deadlines.
- Get to know the team behind the course.
- Create your account.
- Sign-up to our Discord server, and meet your classmates and us.
Letâs get started!
What to expect from this course?
In this course, you will:
- đ Study Model Context Protocol in theory, design, and practice.
- đ§âđ» Learn to use established MCP SDKs and frameworks.
- đŸ Share your projects and explore applications created by the community.
- đ Participate in challenges where you will evaluate your MCP implementations against other studentsâ.
- đ Earn a certificate of completion by completing assignments.
And more!
At the end of this course, youâll understand how MCP works and how to build your own AI applications that leverage external data and tools using the latest MCP standards.
Donât forget to sign up to the course!
(We are respectful of your privacy. We collect your email address to be able to send you the links when each Unit is published and give you information about the challenges and updates).
What does the course look like?
The course is composed of:
- Foundational Units: where you learn MCP concepts in theory.
- Hands-on: where youâll learn to use established MCP SDKs to build your applications. These hands-on sections will have pre-configured environments.
- Use case assignments: where youâll apply the concepts youâve learned to solve a real-world problem that youâll choose.
- The Challenge: youâll get to put your implementation to compete against other implementations in a challenge. There will also be a leaderboard for you to compare performance.
This course is a living project, evolving with your feedback and contributions! Feel free to open issues and PRs in GitHub, and engage in discussions in our Discord server.
After you have gone through the course, you can also send your feedback đ using this form [LINK TO FEEDBACK FORM]
Whatâs the syllabus?
Here is the general syllabus for the course. A more detailed list of topics will be released with each unit.
| Chapter | Topic | Description |
| 0 | Onboarding | Set you up with the tools and platforms that you will use. |
| 1 | MCP Fundamentals | Explain core concepts, architecture, and components of Model Context Protocol. Show a simple use case using MCP. |
| 2 | Architecture and Core Concepts | Understand the MCP architecture, communication protocols, and core primitives like Tools, Resources, and Prompts. |
| 3 | Practical Development | Learn to implement MCP clients and servers using available SDKs and frameworks. |
| 4 | Advanced Topics and Security | Explore advanced features, security considerations, and the future roadmap of MCP. |
What are the prerequisites?
To be able to follow this course, you should have:
- Basic understanding of AI and LLM concepts
- Familiarity with software development principles and API concepts
- Experience with at least one programming language (Python or TypeScript examples will be emphasized)
What tools do I need?
You only need 2 things:
- A computer with an internet connection.
- An Account: to access the course resources and create projects. If you donât have an account yet, you can create one here (itâs free).
The Certification Process
Two paths
You can choose to follow this course in audit mode, or do the activities and get one of the two certificates weâll issue.
If you audit the course, you can participate in all the challenges and do assignments if you want, and you donât need to notify us.
The certification process is completely free:
- To get a certification for fundamentals: you need to complete Unit 1 of the course. This is intended for students that want to get up to date with the latest trends in MCP.
- To get a certificate of completion: you need to complete Unit 1, one of the use case assignments weâll propose during the course, and the final challenge.
Thereâs a deadline for the certification process: all the assignments must be finished before July 1st 2025.
What is the recommended pace?
Each chapter in this course is designed to be completed in 1 week, with approximately 3-4 hours of work per week.
Since thereâs a deadline, we provide you a recommended pace:
How to get the most out of the course?
To get the most out of the course, we have some advice:
- Join study groups in Discord: studying in groups is always easier. To do that, you need to join our discord server and verify your account.
- Do the quizzes and assignments: the best way to learn is through hands-on practice and self-assessment.
- Define a schedule to stay in sync: you can use our recommended pace schedule below or create yours.
Who are we
About the authors:
Ben Burtenshaw
Acknowledgments
We would like to extend our gratitude to the following individuals and partners for their invaluable contributions and support:
I found a bug, or I want to improve the course
Contributions are welcome đ€
- If you found a bug đ in a notebook, please open an issue and describe the problem.
- If you want to improve the course, you can open a Pull Request.
- If you want to add a full section or a new unit, the best is to open an issue and describe what content you want to add before starting to write it so that we can guide you.
I still have questions
Please ask your question in our discord server #mcp-course-questions.
Now that you have all the information, letâs get on board â”
< > Update on GitHub