Ordered tracks, built to be read in order.

AI for Business Professionals

No code, no jargon: how to actually use AI at work, the tools, the prompts, the workflows, and the traps.

AI, From Zero

The ground floor: what a language model actually is, why it works, and why it fails, explained for someone starting from nothing.

AI Coding Tools

Agents, copilots, and autocomplete: what each tool actually does, how they think, and how to build a workflow that compounds.

Claude Code, Mastered

The agentic coding tool, feature by feature: from first install to workflows that feel like cheating.

MCP in Practice

The Model Context Protocol, hands on: what it standardizes, how to use servers, and how to build your own.

Prompt Engineering That Works

Past the tips-and-tricks noise: the small set of techniques that measurably change model output, and how to know they worked.

RAG, Properly

Why retrieval-augmented generation goes wrong in production, and the specific decisions that keep answers grounded in something real.

AI System Design

How production AI agents actually work: the reasoning loop, memory, tools, guardrails, evaluation, and the unglamorous engineering that keeps them reliable.

How Vision Models Work

From CLIP to diffusion to video: how machines learned to see, draw, and read the visual world.

Inference Internals

What actually happens between hitting enter and seeing tokens: the caches, the batching, and the economics under every AI product.

The Groundwork

Start from absolute zero. The computer science, machine learning, and neural network ideas AI is built on, explained in plain words with no equations and no numbers, so every AI term makes sense before you meet it.