Learn AI Fundamentals

Ten topics in the order they build on each other. Start at the top - each one assumes the last.

Stage 01

Foundations

How models work3 topics · 27 min

Core concepts, history, and use-cases of AI.

Layers, weights, and how networks learn from error.

How a model gets built, from raw text to settled weights.

Stage 02

Getting good output2 topics · 15 min

Basics of crafting prompts for large language models.

Structuring context effectively for AI models.

Stage 03

Tools, protocols, agents4 topics · 35 min

Autonomous AI agents and multi-step workflows.

How MCP standardizes tool and context access for AI models.

Intercepting and enhancing AI requests with hooks and middleware.

How to use AI APIs and enable function calls in LLMs.

Stage 04

Before users see it1 topic · 6 min

Failure modes, bias, and responsible AI governance.