ποΈ Solution Architect Path
L200 L300 L400
You design production AI systems β multi-agent architectures, observability, governance, security, and cost optimization at enterprise scale.
Recommended Sequence
Phase 1 β Architecture Foundations
| Order |
Lab |
Title |
Level |
Time |
| 1 |
Lab 002 |
AI Agent Landscape |
L50 |
~20 min |
| 2 |
Lab 003 |
Choosing the Right Tool |
L50 |
~15 min |
| 3 |
Lab 076 |
Microsoft Agent Framework |
L200 |
~75 min |
| 4 |
Lab 054 |
A2A Protocol |
L200 |
~75 min |
| 5 |
Lab 077 |
AG-UI Protocol |
L200 |
~60 min |
Phase 2 β Observability & Quality
| Order |
Lab |
Title |
Level |
Time |
| 6 |
Lab 049 |
Agent Tracing with OpenTelemetry |
L300 |
~75 min |
| 7 |
Lab 050 |
Multi-Agent Observability |
L400 |
~120 min |
| 8 |
Lab 035 |
Agent Evaluation |
L300 |
~60 min |
| 9 |
Lab 073 |
Agent Benchmarking β SWE-bench |
L300 |
~90 min |
Phase 3 β Security & Governance
| Order |
Lab |
Title |
Level |
Time |
| 10 |
Lab 063 |
Agent Identity β Entra OBO |
L300 |
~75 min |
| 11 |
Lab 064 |
Securing MCP with APIM |
L400 |
~90 min |
| 12 |
Lab 082 |
Agent Guardrails |
L300 |
~75 min |
Phase 4 β Production Deployment
| Order |
Lab |
Title |
Level |
Time |
| 13 |
Lab 074 |
Foundry Agent Service |
L300 |
~120 min |
| 14 |
Lab 055 |
A2A + MCP Capstone |
L400 |
~120 min |
| 15 |
Lab 084 |
Capstone β OutdoorGear Agent |
L400 |
~180 min |
Total: 15 labs Β· ~18 hours Β· From architecture to production governance