Retrieval Augmented Generation (RAG) Course
Master Retrieval Augmented Generation (RAG) for real-world products. Gain skills in ingestion, chunking, embeddings, retrieval strategies, evaluation, and safety to deliver reliable, low-hallucination AI on complex technical documentation. This course equips you to create maintainable RAG systems that stay accurate and effective over time.
4 to 360h flexible workload
certificate valid in your country
What will I learn?
This practical Retrieval Augmented Generation (RAG) Course teaches building reliable AI answers from complex docs. Cover ingestion, chunking, embeddings, vector stores, retrieval strategies, prompt design, hallucination control, safety, user experience, plus evaluation, monitoring, and iteration for accurate, current, maintainable RAG systems.
Elevify advantages
Develop skills
- Design RAG pipelines to build grounded QA over complex product docs fast.
- Engineer retrieval with hybrid search, similarity metrics, and filters.
- Model documents using metadata, versioning, and provenance for RAG.
- Build vector stores selecting embeddings, ANN indexes, and scaling tactics.
- Evaluate and monitor RAG using test suites, drift alerts, and A/B experiments.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students are saying
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André FelipePrompt Engineering Student
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