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A four-hour RAG tutorial pitched at data engineers who are new to the topic, with hands-on labs for building real retrieval pipelines. The description positions it as a route from zero to working RAG solutions.
The data engineering framing is the main differentiator, so the course suits data teams who want to add RAG alongside the pipelines they already run. Beginners in data work will find the pace manageable.
RAG | Data Engineering | Gen AI | Agentic AI
🔍What You'll Learn?
This is a complete 4-hour RAG tutorial that starts from scratch and includes hands-on labs to help you build real RAG solutions. It’s totally beginner-friendly.
Data Engineer Roadmap [WITH RESOURCES]
https://github.com/anshlambagit/Data_Engineer_Roadmap
Notes & Code Repository
https://github.com/anshlambagit/RAG_Tutorial
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⭐Hashtags⭐
#genai #dataengineering #pyspark
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