Retrieval Augmented Generation (RAG)
Completed by Nikita Soni
April 19, 2026
31 hours (approximately)
Nikita Soni'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: Artificial Intelligence
- Category: LLM Application
- Category: Fine-tuning
- Category: Application Security
- Category: System Monitoring
- Category: Retrieval-Augmented Generation
- Category: Vector Databases
- Category: Model Evaluation
- Category: Prompt Engineering
- Category: Embeddings
- Category: Large Language Modeling
