MCP Mastery: Unlock NextGen LLM Integrations with MCP

MCP Mastery: Unlock Next-Gen LLM Integrations with MCP
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

MCP is the standard every AI developer will need soon. Connect LLMs to real tools using Model Context Protocol (MCP)

What you’ll learn
Master MCP – the universal protocol that connects any LLM to real-world tools, APIs, and data
Discover how MCP (Model Context Protocol) unlocks LLM superpowers with just two lines of code
Learn the architecture behind the protocol that’s changing how AI agents interact with the world
Set up a real dev environment with Cursor IDE, Claude Desktop, and Node.js-fast and hands-on
Dive into mcp.json-the config brain of every MCP (Model Context Protocol) server-and make it work for your apps
Build powerful LLM apps with live tool access via Playwright and streamable HTTP
Stream responses from your tools like a pro using SSE and async FastMCP
Build your own production-ready MCP (Model Context Protocol) servers from scratch-no templates, no shortcuts
Turn any API into an LLM tool, from flight data to currency converters-step by step using FastAPI
Use FastMCP with asyncio and httpx to build lightning-fast LLM integrations
Debug and test like a pro using the built-in MCP Inspector
Walk away with job-ready skills to build tool-using LLM agents-before this becomes the new standard
Understand the fundamentals of FastAPI
Integrate MCP (Model Context Protocol) with FastAPI
Deploy your FastAPI MCP server to the cloud
Run MCP Servers in Docker Containers
Understand and use Docker MCP Toolkit
Integrate Remote MCP in the OpenAI API
Filter and Approve Remote MCP Tools in the OpenAI API

Requirements
Intermediate Python skills: data structures, functions, decorators, file handling
Experience working with Python packages and virtual environments
Basic understanding of how LLMs (like OpenAI or Claude) work
Familiarity with APIs is highly recommended
A computer with internet access and permission to install software
Curiosity and motivation to build cutting-edge LLM integrations

Description
Who this course is for:
AI developers who want to integrate LLMs with real-world tools and APIs, LLM engineers looking to build powerful, tool-using agentic systems, Anyone who wants to stay ahead of the curve in the fast-moving GenAI space

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