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Multi-step guided lessons on AI concepts — structured, beginner-friendly, and built to actually stick. Each module walks through a real topic from the ground up.
modules
How AI Agents Actually Work
When I tell people “I build AI agents,” they think ChatGPT. But ChatGPT is just the engine. An agent is the entire car — engine + steering + brakes + GPS. This guide breaks down the 5 layers.
6 modules
- 01The Big Picture
- 02How AI Communicates
- 03Context & Memory
- 04Tools & Actions
- 05Agentic Patterns
- 06Same Engine, Different Cars
start the guide →
OpenClaw: An AI System Deep Dive
A look inside a real agentic application — how memory, tools, and a gateway work together to build something that actually runs in production.
4 modules
- 01Overview
- 02Memory
- 03Tools & Actions
- 04The Gateway
coming soon
github repositories
github.com/blakethom8 →Real code you can clone, run, and learn from. Not just concepts — working implementations with documentation.
Backend Development for AI
A complete tutorial series for building production-ready GenAI applications — 20+ chapters covering FastAPI, Pydantic, databases, async patterns, LLM integration, tool calling, agentic frameworks, MCP, Docker, and production deployment. Built to take you from zero to a real running application.
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Frontend for Dummies
Three web development courses for Python developers: web security & authentication, modern frontend (JavaScript, React, TypeScript), and building frontends with LLMs. ~25+ hours of material.
view on github →
Bash, Pi & OpenClaw
A hands-on guide to 'bash is all you need' for agentic systems. Five modules walking through bash fundamentals, Pi architecture, OpenClaw patterns, and building your own agents from scratch.
view on github →