Description
This course delivers what many others don't - genuine hands-on experience developing and integrating and deploying 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
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 your own Crypto Price MCP
Working with MCP Tools and Resources
Testing and debugging MCPs with MCP Inspector
Integrating MCPs into LangChain, LangGraph and LangSmith
Building Python and Javascript-based MCPs
Deploying MCPs to Production
OUTLOOK
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!
Who this course is for:
- AI Enthusiasts who want to get hands-on with MCPs
- Software developers looking to enhance applications with AI capabilities
- AI Engineers
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