RAG Systems in Practice
Completed by Alhanouf Alsemairi
August 9, 2026
13 hours (approximately)
Alhanouf Alsemairi's account is verified. Coursera certifies their successful completion of RAG Systems in Practice
What you will learn
How to build and optimize Retrieval-Augmented Generation (RAG) systems using LangChain and FAISS.
Techniques for enhancing retrieval accuracy through hybrid search, re-ranking, and grounding methods.
How to deploy RAG systems into production environments and integrate them with APIs and platforms like Streamlit.
Best practices for monitoring, evaluating, and scaling RAG systems for optimal performance.
Skills you will gain
- Category: Scalability
- Category: Large Language Modeling
- Category: Performance Testing
- Category: LLM Application
- Category: Application Deployment
- Category: Retrieval-Augmented Generation
- Category: Performance Tuning
- Category: Vector Databases
- Category: Data Preprocessing
- Category: Embeddings
- Category: LangGraph
- Category: Model Evaluation
