AIFLX

Library / Artificial Intelligence

MCP Mastery: 100 Labs for Production-Grade AI Engineering

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About this course

This course contains the use of artificial intelligence.

We only charge a fee solely for the time invested in building this comprehensive curriculum.

In early 2025, we entered the age of "Vibe Coding.

" It was a miracle—prompt the AI, get an app. But as we move into 2026, the "vibes" are clashing with reality. Organizations are reporting database meltdowns, security breaches, and logic errors that blow up in production. Why? Because most AI tutorials stop at "here's how to call the API." They ignore the hard disciplines of software engineering: security, scalability, and verification. Vibe coding is great for momentum, but without structure, it collapses under production demands. If you want to build systems that Fortune 500 companies trust with their data, you must move beyond the vibes. You must master Agentic Engineering.

The Solution: The 100-Lab Journey

Welcome to the most rigorous AI engineering course on the internet. MCP Mastery is not a course about prompting; it is a course about infrastructure. We have designed a 100-lab journey that takes you from the absolute basics of the Model Context Protocol (MCP) to the absolute frontier of agentic design. You will learn to use MCP—the "USB-C for AI"—to connect models to any data source, whether it’s a SQL database, a GitHub repo, or a legacy CRM. This is the protocol used by Anthropic, OpenAI, and Google, and by the end of this course, you will be one of the few engineers on earth who can implement it at scale.

What's Inside: The Path to Mastery

We don't do boring. We build.

Phase 1: The MCP Server Architecture: Learn to wrap any data source in a standardized JSON-RPC 2.0 interface. You’ll build servers in both TypeScript and Python, mastering the "Host-Client-Server" triad.

Phase 2: The Security Moat: Forget basic auth. We’re implementing OAuth 2.1 with PKCE, credential isolati

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