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🏗️ Solution Architect Path

L200 L300 L400

You design production AI systems — multi-agent architectures, observability, governance, security, and cost optimization at enterprise scale.

Phase 1 — 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 — 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 — SWE-bench L300 ~90 min

Phase 3 — Security & Governance

Order Lab Title Level Time
10 Lab 063 Agent Identity — 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 — 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 — OutdoorGear Agent L400 ~180 min

Total: 15 labs · ~18 hours · From architecture to production governance

Phase 2 additions

Use Labs 095, 098, 100 and 101 to connect architecture decisions to evidence, risk, and cost.

Phase 3 route

Use Labs 102–106, the modernized Agent Framework/MCP/Foundry labs, and the Instructor Hub delivery formats appropriate to this role.