Master Retrieval-Augmented Generation (RAG) Systems
Completed by Dandan Rao
April 13, 2026
4 hours (approximately)
Dandan Rao's account is verified. Coursera certifies their successful completion of Master Retrieval-Augmented Generation (RAG) Systems
What you will learn
Understand the core principles and components of Retrieval-Augmented Generation (RAG) systems.
Master advanced techniques like query expansion and Dense Passage Retrieval (DPR) for better retrieval and answer generation.
Learn to visualize and interpret RAG results through embeddings and graph projections.
Skills you will gain
- Category: Text Mining
- Category: Prompt Engineering
- Category: Embeddings
- Category: Dimensionality Reduction
- Category: Large Language Modeling
- Category: Vector Databases
- Category: Generative AI
- Category: Plot (Graphics)
- Category: Retrieval-Augmented Generation
- Category: LLM Application
