Retrieval Augmented Generation (RAG)
Completed by Aleksandr Dekhovich
January 16, 2026
31 hours (approximately)
Aleksandr Dekhovich'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: Retrieval-Augmented Generation
- Category: Fine-tuning
- Category: Vector Databases
- Category: Application Security
- Category: Embeddings
- Category: System Monitoring
- Category: Large Language Modeling
- Category: Prompt Engineering
- Category: Model Evaluation
- Category: Artificial Intelligence
- Category: LLM Application
