Course Syllabus¶
The course is organized as one continuous builder path. Foundations first, then context engineering, then the agentic stack, then orchestration and shipping. Two lanes run through every chapter — no-code and engineer — so start where you are and go the whole way.
| Chapter | Lessons |
|---|---|
| Chapter 01: The Shift — Welcome to the Agentic Era | 5 lessons |
| Chapter 02: How AI Actually Works (No PhD Required) | 5 lessons |
| Chapter 03: Your Command Center — Terminal, Git, and Claude Code | 5 lessons |
| Chapter 04: The Agentic Loop | 5 lessons |
| Chapter 05: Context Engineering | 6 lessons |
| Chapter 06: Everyday Workflows — Build Real Things | 5 lessons |
| Chapter 07: Skills — Teach Your Agent Your Moves | 4 lessons |
| Chapter 08: MCP — Give Your Agent Hands | 5 lessons |
| Chapter 09: Hooks and Guardrails | 4 lessons |
| Chapter 10: Agent Teams — Multi-Agent Orchestration | 5 lessons |
| Chapter 11: Ship It and Sell It | 5 lessons |
54 lessons · 4 tracks · 1 capstone.
Each chapter ends with a scored performance checkpoint. Read the scoring guide before you begin, save the first attempt, then use Review After Your Attempt to reach the worked evidence patterns. Open-ended builds are scored against observable evidence, not one preferred implementation.
Track map¶
| Track | Chapters | You walk away with |
|---|---|---|
| Foundations | 1–3 | The mental models, the vocabulary, and a working command center |
| Context engineering | 4–6 | An agent that performs like a teammate, plus your first real builds |
| Agentic engineering | 7–9 | Skills, MCP connections, and guardrails — a customized, safe agent |
| Orchestration & shipping | 10–11 | Multi-agent workflows and a launched, sellable project |
Before Chapter 1, save an entry diagnostic baseline. When you finish Chapter 11, complete the different, paired exit situations on the same scale, compare the evidence, then decide whether to take on the Capstone.