MCP: Build Rich-Context AI Apps with Anthropic
by DeepLearning.AI (with Anthropic)
Anthropic's hands-on short course on building with MCP.
Overview
Built in partnership with Anthropic and taught by Elie Schoppik, Head of Technical Education at Anthropic, this DeepLearning.AI short course teaches the Model Context Protocol as an open standard that gives LLM applications access to tools and data resources over a client-server architecture. Across roughly ten lessons you make a chatbot MCP-compatible, build and test your own MCP server that provides tools, prompt templates, and resources, and connect the chatbot to it. You then connect to trusted third-party servers, re-use your server with other MCP applications like Claude Desktop, and learn how to deploy an MCP server remotely, so you can build rich-context AI apps that plug into the growing MCP ecosystem with minimal integration work.
At a Glance
- Topic
- MCP
- Level
- Intermediate
- Format
- Course
- Cost
- Free
- Duration
- ~1.5 hours, self-paced
- Provider
- DeepLearning.AI (with Anthropic)
- Hands-on
- Yes — code/exercises
- Certificate
- None
What You’ll Learn
- ✓The MCP client-server architecture and why it matters
- ✓Building, testing, and connecting your own MCP server
- ✓Exposing tools, prompt templates, and resources to a chatbot
- ✓Connecting to third-party MCP servers and Claude Desktop
- ✓Deploying an MCP server remotely
Highlights
- •Taught by Anthropic's Head of Technical Education
- •Hands-on: make a real chatbot MCP-compatible
- •Free and self-paced
Who It’s For
Best For
- ✓Developers new to building with MCP
- ✓Engineers making an existing chatbot context-aware
Prerequisites
- •Basic Python
- •Familiarity with LLM chatbots and APIs
FAQ
What is MCP: Build Rich-Context AI Apps with Anthropic?
A free short course, built with Anthropic and taught by Elie Schoppik (Head of Technical Education at Anthropic), on the core concepts of MCP and how to implement it. For developers who want to make an AI app MCP-compatible end to end.
Is MCP: Build Rich-Context AI Apps with Anthropic free?
MCP: Build Rich-Context AI Apps with Anthropic is free to access.
What level is MCP: Build Rich-Context AI Apps with Anthropic for?
MCP: Build Rich-Context AI Apps with Anthropic is aimed at a intermediate audience. Recommended background: Basic Python, Familiarity with LLM chatbots and APIs.
How long does MCP: Build Rich-Context AI Apps with Anthropic take?
Expect roughly ~1.5 hours, self-paced. Most learners work through it at their own pace.
What will I learn from MCP: Build Rich-Context AI Apps with Anthropic?
You'll learn: The MCP client-server architecture and why it matters; Building, testing, and connecting your own MCP server; Exposing tools, prompt templates, and resources to a chatbot; Connecting to third-party MCP servers and Claude Desktop; Deploying an MCP server remotely.