Uploaded July 2025 | Updated September 2026, 2 weeks ago
We're thrilled to announce our new course: Retrieval Augmented Generation (RAG)
RAG is a key part of building LLM applications that are grounded, accurate, and adaptable.
In this course, taught by AI engineer Zain Hasan and available on Coursera, you’ll learn how to design and deploy production-ready RAG systems. You'll:
- Combine retrievers and LLMs using tools like Weaviate, Together.AI, and Phoenix
- Apply keyword and semantic search methods
- Evaluate performance to deploy and optimize production-ready systems
You'll apply these techniques using real-world datasets in domains like healthcare, media, and e-commerce, and build the intuition to make informed architectural decisions.
📈 With the global RAG market projected to grow from $1.2B in 2024 to over $11B by 2030, RAG is core to real-world LLM systems.
Start building with it today! Enroll at deeplearning.ai
We're thrilled to announce our new course: Retrieval Augmented Generation (RAG)
RAG is a key part of building LLM applications that are grounded, accurate, and adaptable.
In this course, taught by AI engineer Zain Hasan and available on Coursera, you’ll learn how to design and deploy production-ready RAG systems. You'll:
- Combine retrievers and LLMs using tools like Weaviate, Together.AI, and Phoenix
- Apply keyword and semantic search methods
- Evaluate performance to deploy and optimize production-ready systems
You'll apply these techniques using real-world datasets in domains like healthcare, media, and e-commerce, and build the intuition to make informed architectural decisions.
📈 With the global RAG market projected to grow from $1.2B in 2024 to over $11B by 2030, RAG is core to real-world LLM systems.
Start building with it today! Enroll at deeplearning.ai
