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This course delivers what many others don't - genuine hands-on experience developing and integrating MCPs for AI applications. You'll walk away with both the conceptual understanding and practical tools to tackle real-world Model Context Protocol challenges.

Why Model Context Protocol matters: MCPs solve a critical problem in the multi-LLM world by creating standardized ways for AI models to interact with external systems. This bootcamp takes you from fundamental concepts and third-party MCP integration to an implementation of a real-world project at every step.

Course Structure: This course follows a hands-on, practical approach. We start with the theoretical foundations to understand MCPs in context, then quickly move to building real working applications:

THEORETICAL SECTION:

• How LLM interactions and tool calling work

• The problem MCPs solve in a multi-LLM world

• Core MCP concepts and architecture

• MCP features: Tools, Prompts, and more

• Where MCPs fit in the AI ecosystem

How LLM interactions and tool calling work

The problem MCPs solve in a multi-LLM world

Core MCP concepts and architecture

MCP features: Tools, Prompts, and more

Where MCPs fit in the AI ecosystem

PRACTICAL SECTION:

• Complete development environment setup for Mac & Windows

• Working with MCP hubs and global providers

• Integrating MCPs with Claude and Cursor

• Step-by-step creation of a Crypto Price MCP

• Testing and debugging MCPs with MCP Inspector

Complete development environment setup for Mac & Windows

Working with MCP hubs and global providers

Integrating MCPs with Claude and Cursor

Step-by-step creation of a Crypto Price MCP

Testing and debugging MCPs with MCP Inspector

OUTLOOK

• A sneek peak into Anthropic's MCP Roadmap about the future of the project

  
  

A sneek peak into Anthropic's MCP Roadmap about the future of the project

Join developers and AI enthusiasts already mastering MCP and transform your AI development skills today!