Build With AI

Agentic AI course

Stop watching the AI wave. Build with it.

You don't need a computer science degree. You don't need permission. You need a structured path from curious to shipping — and the habits to make AI work for you, not around you.

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What this course is

This is a hands-on agentic AI course for builders — creators, hustlers, career-switchers, and seasoned engineers — who want to go beyond chatting with AI and start directing it: real projects, real tools, real results you can show.

You'll learn the full modern stack: the agentic loop, context engineering, CLAUDE.md and memory, Skills, MCP, hooks and guardrails, and multi-agent orchestration — the same techniques used inside top engineering teams, translated so the whole culture can run with them.

Two lanes, one road

Every lesson serves both paths: a no-code lane if you've never touched a terminal, and an engineer lane if you live in one. Nobody gets left, nobody gets bored.

Learn by shipping

Every chapter ends with something you actually made — a page, a tool, a workflow, an automation. Receipts over theory.

Current stack

Built around Claude Code and the agentic era: context engineering, Skills, MCP, hooks, subagents, and agent teams — with concepts that transfer to any AI tool you pick up next.

Course outcomes

By the end, you should be able to:

• Explain how AI models and agents actually work — in your own words, no buzzwords.
• Run an AI coding agent from the terminal with confidence, starting from zero.
• Engineer context so your agent performs like a senior teammate instead of a forgetful intern.
• Extend your agent with Skills, connect it to real tools with MCP, and wrap it in guardrails with hooks.
• Orchestrate multiple agents working in parallel on real projects.
• Ship a complete project — a site, an app, a product, or an automation — and know how to sell it.

Where to begin

Pick the description that fits you best. Both lanes cover the full course — the on-ramps are just different.

Curious, not technical

You use ChatGPT or Claude but the terminal feels like the Matrix. Start at Chapter 1 — every concept is introduced before it's used, and Chapter 3 walks you into the command line step by step.

Start at Chapter 1

Creator / entrepreneur

You have ideas and an audience but no dev team. Move through Chapters 1–4, then live in Chapter 6 (build real things) and Chapter 11 (ship and sell).

Start at Chapter 1

Software engineer

You code daily but your AI usage is still copy-paste chat. Skim Chapters 1–3, then go deep on Chapters 4–5 (agentic loop, context engineering) and 7–10 (Skills, MCP, hooks, agent teams).

Jump to Chapter 4

Technical, new to agents

Data, IT, security, or ops background. Start at Chapter 2 to lock in the mental models, then run the full path — the guardrails and orchestration chapters will feel like home.

Jump to Chapter 2

Learning rhythm

1. Read the concept — plain language first, precision second.
2. Watch the linked video if the idea is new to you.
3. Run the guided build in your own workspace.
4. Verify the result with relevant human and automated checks.
5. Complete the checkpoint questions and note what you'd do differently next time.

New to all of this?

Start with the Glossary so the vocabulary never blocks you, then do Setup before your first build session.

Agents act — that's the point, and the risk

An AI agent can create, modify, and delete real files and run real commands. Work in a dedicated projects folder, use version control from day one (we show you how), and review what your agent did before you trust it. The course builds this habit into every lesson.