Master Retrieval-Augmented Generation (RAG) Systems
Completed by Fabio Alexander Ramirez Salamanca
January 7, 2026
4 hours (approximately)
Fabio Alexander Ramirez Salamanca'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: Prompt Engineering
- Category: Embeddings
- Category: Plot (Graphics)
- Category: Retrieval-Augmented Generation
- Category: Generative AI
- Category: Text Mining
- Category: Large Language Modeling
- Category: Vector Databases
- Category: Dimensionality Reduction
- Category: LLM Application
