The Complete Agent Engineer
Congratulations on making it to the final lesson. You've learned:
Course Recap
| Module | Key Skills |
|---|---|
| 1. Foundations | Agent vs LLM, ReAct pattern, tool calling |
| 2. MCP & Context | Protocol design, context management, grounding |
| 3. Orchestration | Multi-LLM routing, fallbacks, cost optimization |
| 4. E-Commerce | Intent classification, order handling, escalation |
| 5. Production | Evaluation, hallucination detection, safety |
| 6. Interview Prep | System design, portfolio, communication |
The Agent Engineer Mindset
You now think in systems, not prompts.
When someone says "build a chatbot," you think:
When someone says "build a chatbot," you think:
- What tools does it need?
- How do we verify outputs?
- What happens when it fails?
- How do we measure success?
- How do we keep it safe?
Your Final Challenge
The following code challenge combines concepts from across the course. You'll implement a mini agent orchestrator that:
- Classifies intent
- Routes to the right handler
- Validates responses
- Handles errors gracefully
This is your capstone. Show everything you've learned.
What's Next?
After completing this course:
- Build your portfolio project
- Practice system design questions
- Apply to agent engineering roles
- Keep learning - the field moves fast
You're ready. Go build something amazing.