Gen-AI for Data Engineers with GANESH SAWANT

Title: Gen-AI for Data Engineers: The Practical Roadmap

Description:

You already build pipelines. Now learn to build AI on top of them.

This 16-page guide gives data engineers a clear, step-by-step path from LLM basics to production-ready AI systems, with no fluff and no random tutorials.

What’s inside

• 8 phases, each with a clear outcome: LLM fundamentals, embeddings and vector search, hands-on with models, RAG pipelines, retrieval quality and evaluation, agents, fine-tuning, and production/LLMOps
• A “data engineer angle” in every phase, so you connect AI to skills you already use (ETL, quality checks, streaming, Databricks, AWS)
• A build project and a checkpoint question for each phase
• A weekly study system with three pace options
• 6 portfolio project ideas, a toolkit page and an interview self-test

Who it’s for

• Data engineers, analysts and backend developers with Python and SQL
• Anyone who wants to move toward AI data engineer or applied AI roles

Format: PDF, instant download, read on any device.

This is a self-study roadmap, not a course. It guides what to learn and build, but the learning is up to you, and I can’t promise any job or salary outcome.

Follow for more: @dataengineer_ganesh on Instagram