Learn AAMAD – Free Self-Paced Course
A guided, hands-on introduction to AAMAD and the Agentic Architect mindset

📚 Take the course on GitHub Pages to track your progress, submit answers, and receive your completion certificate!
Who This Is For
Target learner: Mid/senior software engineer who senses “AI is changing my job” and wants a systematic way to work with agents, not just vibe-code prompts.
Promise: In 4–6 hours, go from random AI coding to a repeatable 3-phase method (Define–Build–Deliver) using AAMAD, with one small but real multi-agent outcome shipped.
What You Will Build
By the end of this course, you will:
- Understand the Agentic Architect role and how it differs from “just using AI tools”
- Master the AAMAD framework (Define–Build–Deliver) for building multi-agent applications
- Learn context engineering as the core lever for AI-assisted development
- Understand orchestration patterns and how to design multi-agent systems
- Complete a hands-on mini-project using the AAMAD framework end-to-end
Course Overview
This course is organized into three main sections:
Section 1: Why Agentic Architect
Learn the mindset shift from traditional development to agentic architecture. Understand the value migration to coordination and the three hats of an Agentic Architect (tech, experience, business).
Section 2: AAMAD in 3 Phases
Deep dive into the AAMAD framework:
- Define: Market research, PRD creation, context setup
- Build: Multi-agent development crew execution
- Deliver: Deployment, monitoring, and operational concerns
Section 3: Hands-On Mini-Project
Apply everything you’ve learned by building a small multi-agent application using the AAMAD framework, from definition to deployment.
How to Take This Course
Suggested Learning Plan
Session 1 (2–3 hours):
- Modules 01–04: Mindset + AAMAD + Context Engineering + Multi-agent AI Systems
Session 2 (2–3 hours):
- Modules 05–07: Run mini-project, define project scope, see agents produce code/artifacts, simulate delivery
- Module 08: Reflect on gaps → apply to Tier 1/Tier 2
Course Modules
| Module |
Title |
Time |
Status |
| 01 |
Introduction to Agentic Architect |
~15 min |
✅ Available |
| 02 |
AAMAD Overview |
~15 min |
✅ Available |
| 03 |
Context Engineering Basics |
~15 min |
✅ Available |
| 04 |
Introduction to Building Multi-Agent AI Systems with CrewAI |
~15 min |
✅ Available |
| 05 |
Hands-On: Define Phase |
~30 min |
✅ Available |
| 06 |
Hands-On: Build Phase |
~45 min |
✅ Available |
| 07 |
Hands-On: Deliver Phase |
~30 min |
✅ Available |
| 08 |
Value and Next Steps |
~15 min |
✅ Available |
Total estimated time: 4–6 hours
The Agentic Architect Ladder
This course is Tier 0 of a three-tier learning path:
- Tier 0 (This Course): Self-paced GitHub course – learn concepts + mini AAMAD run
- Tier 1: 2-week cohort – apply AAMAD with live mentoring (Coming Soon)
- Tier 2: 6-week project – full stack multi-agent systems, evaluation, governance, portfolio project → Enroll Now
Prerequisites
- Basic familiarity with software development
- Understanding of AI/LLM concepts (helpful but not required)
- Access to a code editor and terminal
- Python 3.8+ (for hands-on exercises)
Getting Started
- Star this repository ⭐ to stay updated
- Start with Module 01: Introduction to Agentic Architect
- Follow the modules sequentially – each builds on the previous
- Complete the hands-on exercises to reinforce learning
- Track your progress – Register on any module page to track completion and receive your certificate
Call to Action
- ⭐ Star the repo to show your support
- 📧 Download The Agentic Architect Playbook for free
- 🚀 Tier 1 (2-week cohort) – Coming Soon
- 🎓 Join Tier 2 – Become a certified Agentic Architect (6-week project-based course)
Contributing
Found an issue or have a suggestion? We welcome contributions!
- Open an issue for bugs, feature ideas, or improvements
- Submit pull requests with fixes or enhancements
- Help improve the course content and examples
See our Contributing Guide for more details.
Resources
License
This course is licensed under the MIT License.
Feedback
We’d love to hear from you! Please:
- Open a GitHub issue for bugs or suggestions
- Share your experience on social media (tag us!)
- Join our community discussions
Ready to start? → Begin with Module 01: Introduction to Agentic Architect
💡 Tip: For the best learning experience with progress tracking and certificates, access the course via GitHub Pages rather than viewing markdown files directly on GitHub.