Master Mcp: Unlock Next-Gen Llm Integration Skills Today

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

What you'll learn

Master MCP - the universal protocol that connects any LLM to real-world tools, APIs, and data

Discover how MCP 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 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 servers from scratch—no templates, no shortcuts

Turn any API into an LLM tool, from flight data to currency converters—step by step

Use FastMCP with asyncio and httpx to build lightning-fast LLM integrations

Debug and test like a pro using the built-in MCP Inspector

Learn how to scale LLM integrations securely across multiple agents and tools

Walk away with job-ready skills to build tool-using LLM agents—before this becomes the new standard

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

What if the biggest obstacle to building truly powerful AI apps isn't the AI models themselves, but the messy, brittle ways we integrate them with external tools and data?Imagine a single, universal standard—like the USB-C of AI—that lets your Large Language Models (LLMs) seamlessly connect to any API, database, or even other AI systems. No more chaotic integrations, custom hacks, or fragile workflows. Just a clean, structured approach to bridge your LLMs with the dynamic world outside.This is exactly what Model Context Protocol (MCP) provides. MCP is the groundbreaking open standard transforming the landscape of AI integration. It’s the essential link that finally enables LLMs to act as powerful, reliable, and scalable digital agents interacting effortlessly with external resources.This comprehensive course provides the hands-on training you need to become an expert in MCP. We move quickly from core fundamentals to practical, real-world projects, empowering you to build sophisticated LLM applications that dynamically interact with their environment. Mastering MCP is not just about learning another protocol—it's a fundamental paradigm shift for developers working with Large Language Models. This knowledge is essential for creating the next generation of intelligent applications.Who Should Enroll?AI developers and LLM engineers eager to master cutting-edge integrations.Innovators struggling with brittle integrations and seeking a streamlined approach.Tech leaders and entrepreneurs aiming to build advanced intelligent and automated systems.Anyone determined to stay ahead in the fast-moving Generative AI space.What You’ll AchieveMaster the Model Context Protocol (MCP) from the ground up.Connect LLMs effortlessly to external tools, databases, or real-world APIs.Build robust, scalable, and reliable AI agent applications.Leverage pre-built MCP servers for instant integration of real-time data into your apps.Create custom MCP servers tailored for proprietary or internal systems.Transform basic LLMs into powerful, action-oriented agents.Develop a portfolio of hands-on projects to showcase your skills.Why This Course?The future of AI isn't just bigger models—it’s smarter, more capable agents performing seamless real-world actions. MCP is your gateway to that future. Don’t let complex integrations slow your innovation. Join today and start building robust, actionable, and scalable AI solutions.Enroll now and turn your LLM ideas into reality—fast.

Overview

Section 1: Getting Started

Lecture 1 MCP Demo

Lecture 2 Course Prerequisites

Lecture 3 Course Resources

Section 2: Understanding the Model Context Protocol (MCP) for AI Integration

Lecture 4 Why MCP is a Game Changer for LLM and Tool Integration

Lecture 5 MCP Fundamentals, Architecture, and Key Concepts

Lecture 6 How MCP Communicates: The Communication Protocol Explained

Section 3: Integration Labs

Lecture 7 Lab Setup: Installing and Configuring Cursor IDE

Lecture 8 Lab Setup: Claude Desktop and Node.js Installation

Lecture 9 Configure MCP Servers in Claude Desktop

Lecture 10 Exploring mcp.json: The Heart of MCP Configuration

Lecture 11 Configure MCP Servers in Cursor

Lecture 12 Browser Control: Automated Research & Data Extraction With Playwright MCP Server

Lecture 13 Diving Deeper into MCP - Using SSE and Streamable HTTP with Playwright

Lecture 14 Two Lines of Code = LLM Superpowers with MCP

Section 4: MCP Development and Security: Clients, Servers

Lecture 15 Setting-Up Cursor for MCP Development

Lecture 16 Build Your Own MCP Server: FlightAware API

Lecture 17 One Server for All Your LLM Apps - No Extra Work

Lecture 18 Building Your Own MCP Server From Scratch: Core Concepts

Lecture 19 Building a Currency Converter MCP Server From Scratch

Lecture 20 Running the Currency Converter MCP Server in Streamable HTTP Mode

Lecture 21 Async Upgrade: Run FastMCP with asyncio and httpx

Lecture 22 The MCP Inspector

Section 5: BONUS SECTION

Lecture 23 Congratulations

Lecture 24 BONUS: THANK YOU GIFT!

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