Retrieval Augmented Generation (RAG)
Completed by Banlang Niyomsak
February 20, 2026
31 hours (approximately)
Banlang Niyomsak's account is verified. Coursera certifies their successful completion of Retrieval Augmented Generation (RAG)
What you will learn
How to design and build RAG systems tailored to real-world needs
How to weigh tradeoffs between cost, speed, and quality to choose the right techniques for each component of a RAG system
A foundational framework to adapt RAG systems as new tools and methods emerge
Skills you will gain
- Category: Fine-tuning
- Category: System Monitoring
- Category: Model Evaluation
- Category: Artificial Intelligence
- Category: Large Language Modeling
- Category: Prompt Engineering
- Category: Application Security
- Category: Vector Databases
- Category: Retrieval-Augmented Generation
- Category: Embeddings
- Category: LLM Application
