Generative AIBeginner
Learn Generative AI in 23 Hours
freeCodeCamp's generative AI course covering prompt engineering, RAG, model deployment, and AI agents. Taught by Andrew Brown. Completely free on YouTube.
Free course on Hugging Face
Hugging Face MCP Course
16 hours 4.7(4,100 reviews)Free
Hugging Face's MCP Course teaches the Model Context Protocol (MCP), Anthropic's open standard for connecting AI assistants to external tools and data sources. You learn to build MCP servers that extend Claude and other AI assistants with custom tools. The course is free on Hugging Face. After finishing, you can build MCP integrations that let AI models access your databases, APIs, and services. The main limitation: MCP is new (2024) and the tooling is still maturing. Ecosystem support is growing rapidly.
OpenAI added MCP support across its products in March 2025, and Google DeepMind confirmed support in the Gemini SDK shortly after, alongside Anthropic and Microsoft (source: techcrunch.com/2025/04/09/google-says-itll-embrace-anthropics-standard-for-connecting-ai-models-to-data/).
About This Course
Hugging Face's free course on the Model Context Protocol, built in partnership with Anthropic. Four units take you from MCP fundamentals to building and deploying real MCP servers and clients. Roughly 3–4 hours per unit, with a certificate of fundamentals after Unit 1 and a completion certificate after Units 2–3.
Course Details
- Platform
- Hugging Face
- Language
- Generative AI
- Level
- intermediate
- Duration
- 16h
- Certificate
- Yes, included
- Cost
- Free
Frequently Asked Questions
Is this course free?
Yes, free on Hugging Face.
Do I need to know Hugging Face to take this?
Not for MCP itself, but familiarity with AI APIs helps.
What platforms support MCP?
Claude Desktop, VS Code (GitHub Copilot), and other tools are adopting it.
Is MCP just for Claude?
It was started by Anthropic but designed as an open standard. Other models can implement it.
How hard is building an MCP server?
Moderate. You write a server that exposes tools as JSON-callable endpoints. If you know web development basics, it's approachable.
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