GenAI Advanced Course
Design reliable architecture choices for agent systems in production. This course is for engineers who understand the basics and need to make architectural decisions.
What You'll Learn
| Lesson | Topic | Key Decision |
|---|---|---|
| 1 | Agentic product fit and system boundaries | When to use agents vs. workflows |
| 2 | Single-agent runtime and bounded autonomy | Limits and recovery patterns |
| 3 | Context engineering, long context, and caching | Optimize context for quality and cost |
| 4 | Knowledge systems and advanced RAG | Choose retrieval architectures |
| 5 | Router, manager, and specialist patterns | Multi-agent orchestration |
| 6 | Handoffs, human review, and control surfaces | Human-in-the-loop design |
| 7 | Memory, checkpoints, artifacts, and durable execution | Runtime durability |
| 8 | Observability, testing, security, and deployment | Production readiness |
Course Structure
Prerequisites
- Completed the GenAI Beginner Course (or equivalent)
- Comfortable with AgentFlow core concepts
- Building or maintaining GenAI applications
Time Commitment
| Component | Time |
|---|---|
| 8 lessons | 45-75 min each |
| Architecture exercise | 1-2 hours |
| Total | ~8-10 hours |
How Each Lesson Is Structured
Each advanced lesson follows this structure:
- Theory — Architectural concepts with tradeoffs
- Patterns — When to use, when NOT to use
- Implementation — AgentFlow code patterns
- Exercise — Apply concepts to a real scenario
Key Differences from Beginner
| Aspect | Beginner | Advanced |
|---|---|---|
| Focus | Building one feature | Choosing between patterns |
| Questions | "How do I...?" | "Should I...?" and "Which is better?" |
| Failure modes | Implementation bugs | Architectural mistakes |
| Tradeoffs | Basic (speed vs. quality) | Complex (context, cost, latency, safety) |
Your Learning Path
Start With Shared Foundations
If you need a refresher:
Then Continue With Lessons
Start with Lesson 1: Agentic product fit and system boundaries
After This Course
After completing this course, you will be able to:
- Choose architectures — Workflow vs. agent vs. multi-agent
- Design bounded systems — Limits, recovery, and failure containment
- Optimize context — Context engineering, caching, and compaction
- Build multi-agent systems — Routing, delegation, and handoffs
- Implement human-in-the-loop — Approval flows and interrupts
- Ship production-ready — Testing, observability, and security
Coming from the Beginner Course?
If you've completed the beginner course, this advanced course goes deeper into the architectural decisions behind what you built.
Ready to start? Begin with Lesson 1: Agentic product fit and system boundaries.