Master Retrieval-Augmented Generation (RAG) Systems
Completed by Jakub Trzebinski
January 8, 2026
4 hours (approximately)
Jakub Trzebinski'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: LLM Application
- Category: Embeddings
- Category: Vector Databases
- Category: Generative AI
- Category: Text Mining
- Category: Large Language Modeling
- Category: Plot (Graphics)
- Category: Retrieval-Augmented Generation
- Category: Dimensionality Reduction
