AI for Data Eng.: RAG & Agents (Handwritten Notes) with AZ IT Solutions

Your team has been asked to "add AI" to the data platform. Most of that work is data engineering: clean documents, good chunks, reliable metadata, governed tables, evaluation and cost control. This handwritten-style notes guide shows how to do it step by step on Databricks and Microsoft Fabric, with code you can run on a laptop first.

What's inside

• 15 chapters (57-page PDF): preparing documents and tables for RAG, embeddings and retrieval, vector search on Databricks, a RAG app end to end, tool-using agents, the Fabric equivalents, Genie and Fabric data agents, evaluation and monitoring, governance with Unity Catalog, cost, and notebook to production

• Code pack (ZIP): a Python rag_kit, 4 Jupyter notebooks that run offline on a laptop with no API key, Databricks and Fabric notebook sources, and 15 tests. All examples use public data.

• Appendices: templates, glossary, feature status and exercises with solutions

Who it's for: data engineers (roughly 2–7 years) who know Python, SQL, Spark and Delta, and data platform leads planning RAG or agent features. No ML background needed.

Note: the laptop code and tests run end to end. The Databricks and Fabric notebooks were checked against official docs (Oct 2026) but not run in a live workspace for this edition.

Instant access after payment, and the download link is also emailed to you. Licensed for personal use only.

Refunds: because this is an instant digital download, all sales are final. If your file won't open, is incomplete, or you were charged twice, contact us through https://azitsolutions.in/contact.html within 7 days and we'll send a working copy or refund you.

Not affiliated with, endorsed or sponsored by Databricks, Microsoft or the Apache Software Foundation. Product names are trademarks of their owners.