Learn Modern AI
the right way.
Build production RAG pipelines, custom MCP servers, and autonomous agents with a free, open-source curriculum designed for developers.
Curriculum
Four modules,
carefully sequenced.
/* Start here, grasp the essentials */
Foundations
Before jumping into advanced AI systems, you need a solid mental model of how language models actually work, what embeddings are, and how AI processes information. These are the building blocks everything else on this platform is built on.
/* Retrieval-Augmented Generation */
RAG
RAG gives language models access to external knowledge they were never trained on. Instead of relying on what the model memorised during training, RAG retrieves relevant documents at query time, making responses more accurate, current, and grounded in real sources.
/* Model Context Protocol */
MCP
MCP is Anthropic's open protocol that lets AI models connect securely to tools, APIs, and data sources through a standardised interface. Think of it as USB-C for AI. One universal connector for everything your model needs to interact with the outside world.
/* Autonomous AI that gets things done */
Agentic AI
Agentic AI systems don't just answer questions. They plan, execute multi-step tasks, use tools, and keep iterating until they reach a goal. Understanding agents means understanding where AI is actually headed in production, systems that act rather than just respond.
Approach
Why it actually
sticks.
Concept-First
Every topic opens with intuitive analogies before a single line of code.
Real Code
Production-quality snippets you can copy and run immediately.
Live Projects
Hands-on GitHub projects that make every concept tangible.
"10x your salary in 30 days!"
not hereYeah... wrong tab. There's no shortcut, no hustle-hack, no "become a 10x engineer overnight" button on this site.
Applied AI Lab is for people who actually want to understand how RAG, MCP, and agents work, one honest concept at a time. Your package can wait. Your fundamentals shouldn't.
Start with the
foundations.
Or jump straight to RAG, MCP, or Agentic AI if you know the basics. Each module is self-contained.