Free course

Academy

A plain-spoken course on building with AI coding agents. Learn the ideas that hold across every tool, then the specifics for Claude Code, Codex, and Gemini. Read the lessons, then take the test to check what stuck. Everything links out to free, first-party sources.

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No coding needed. Five simple steps from your first GitHub account to a live website you can share.

13 tracks60 lessons31 test questions
0 / 60 lessons read
01

Foundations

General
4 lessons

The core ideas behind agentic coding that apply no matter which tool you use.

02

Anthropic / Claude Code

Anthropic
4 lessons

The Claude Code workflow, project memory, subagents, and prompting techniques.

03

OpenAI / Codex

OpenAI
3 lessons

Running the Codex CLI agent, AGENTS.md instructions, and prompting for agentic coding.

04

Google / Gemini

Google
3 lessons

Prompt design for Gemini, building agents, and using long context well.

05

Working by Task Type

General
5 lessons

Playbooks for planning, testing, refactoring, security, and documentation.

06

AI for YouTube Creators

General
6 lessons

Use AI across the YouTube pipeline: ideas, scripts, thumbnails, editing, Shorts, and a weekly workflow.

07

AI for Instagram & TikTok

General
5 lessons

Make scroll-stopping short-form video with AI: hooks, scripts, voiceover, platform formats, and iteration.

08

AI for Bloggers & SEO

General
5 lessons

Pair AI drafting with search intent, on-page SEO, human editing, and optimizing for AI search surfaces.

09

AI Image Generation

General
5 lessons

Generate images with Midjourney and Flux: how diffusion works, prompting, parameters, and a consistent style.

10

AI Video Generation

General
5 lessons

Direct AI video with Runway and Kling: the landscape, prompting for camera and consistency, and editing.

11

AI Music & Audio

General
5 lessons

Make music and voice with Suno and ElevenLabs: song generation, lyrics, refining, TTS, and voice cloning.

12

AI 3D & Game Assets

General
5 lessons

Generate 3D models and sprites: text/image to mesh, PBR textures, rigging, engines, and optimization.

13

AI Chatbots & Automation

General
5 lessons

Design conversation flows and build bots with ManyChat, Make.com, and an LLM for smart, grounded replies.

AI coding books

A short shelf worth your time. The ideas in these hold up whether you write the code or an agent does.

AI Engineering

Chip Huyen

The practical guide to building real applications on top of foundation models, end to end.

Find it on Amazon

Designing Machine Learning Systems

Chip Huyen

How to take ML from a notebook to something that runs in production and stays reliable.

Find it on Amazon

Prompt Engineering for LLMs

John Berryman and Albert Ziegler

Gets specific about coaxing good output from models, which is half the job of an agent build.

Find it on Amazon

The Pragmatic Programmer

David Thomas and Andrew Hunt

The habits that make a good engineer. Just as true when an AI writes the first draft of your code.

Find it on Amazon

Build a Large Language Model From Scratch

Sebastian Raschka

Build a small model by hand to understand what the big ones are actually doing under the hood.

Find it on Amazon

Designing Data-Intensive Applications

Martin Kleppmann

The systems thinking behind anything that stores and serves data at scale, AI apps included.

Find it on Amazon
Check your knowledge

Ready for the test?

31 multiple-choice questions covering every track. Score 70 percent or higher to pass. You can retry as many times as you like.