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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

LessonTopicKey Decision
1Agentic product fit and system boundariesWhen to use agents vs. workflows
2Single-agent runtime and bounded autonomyLimits and recovery patterns
3Context engineering, long context, and cachingOptimize context for quality and cost
4Knowledge systems and advanced RAGChoose retrieval architectures
5Router, manager, and specialist patternsMulti-agent orchestration
6Handoffs, human review, and control surfacesHuman-in-the-loop design
7Memory, checkpoints, artifacts, and durable executionRuntime durability
8Observability, testing, security, and deploymentProduction readiness

Course Structure

Prerequisites

  • Completed the GenAI Beginner Course (or equivalent)
  • Comfortable with AgentFlow core concepts
  • Building or maintaining GenAI applications

Time Commitment

ComponentTime
8 lessons45-75 min each
Architecture exercise1-2 hours
Total~8-10 hours

How Each Lesson Is Structured

Each advanced lesson follows this structure:

  1. Theory — Architectural concepts with tradeoffs
  2. Patterns — When to use, when NOT to use
  3. Implementation — AgentFlow code patterns
  4. Exercise — Apply concepts to a real scenario

Key Differences from Beginner

AspectBeginnerAdvanced
FocusBuilding one featureChoosing between patterns
Questions"How do I...?""Should I...?" and "Which is better?"
Failure modesImplementation bugsArchitectural mistakes
TradeoffsBasic (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.