📊 Data Engineer / Analyst Path¶
L100 L200 L300
You work with data — analytics, BI, ETL pipelines — and want to add AI agents to your data workflows for conversational analytics, automated insights, and intelligent data processing.
Recommended Sequence¶
Phase 1 — AI Fundamentals for Data People¶
| Order | Lab | Title | Level | Time |
|---|---|---|---|---|
| 1 | Lab 004 | How LLMs Work | L50 | ~20 min |
| 2 | Lab 006 | What is RAG? | L50 | ~20 min |
| 3 | Lab 007 | What are Embeddings? | L50 | ~15 min |
Phase 2 — Work IQ & Copilot Analytics¶
| Order | Lab | Title | Level | Time |
|---|---|---|---|---|
| 4 | Lab 047 | Work IQ — Copilot Adoption Analytics | L200 | ~45 min |
| 5 | Lab 048 | Work IQ — Impact Analytics & Power BI | L300 | ~90 min |
| 6 | Lab 075 | Power BI Copilot — Analytics | L100 | ~45 min |
Phase 3 — Fabric IQ & Data Agents¶
| Order | Lab | Title | Level | Time |
|---|---|---|---|---|
| 7 | Lab 052 | Fabric IQ — Conversational Data Agent (NL→SQL) | L200 | ~75 min |
| 8 | Lab 053 | Fabric IQ — Batch AI Enrichment | L300 | ~90 min |
| 9 | Lab 051 | Fabric IQ — Real-Time Intelligence | L300 | ~75 min |
Phase 4 — Advanced RAG & Search¶
| Order | Lab | Title | Level | Time |
|---|---|---|---|---|
| 10 | Lab 068 | Hybrid Search — Vector + BM25 | L200 | ~60 min |
| 11 | Lab 067 | GraphRAG — Knowledge Graphs | L300 | ~90 min |
| 12 | Lab 083 | Multi-Modal RAG | L300 | ~90 min |
Total: 12 labs · ~11 hours · From data fundamentals to AI-powered analytics
Phase 2 additions¶
Use Labs 022, 095 and 099 plus Challenge 011 for retrieval and evaluation evidence.
Phase 3 route¶
Use Labs 102–106, the modernized Agent Framework/MCP/Foundry labs, and the Instructor Hub delivery formats appropriate to this role.