RAG Development Course
Learn to build retrieval-augmented generation pipelines that ground a model's answers in your own data — through live classes and hands-on projects.
Built for Developers Who Want Reliable, Grounded AI
This course assumes you can already write code. It's a focused, technical path into retrieval systems, not an introduction to programming.
Developers Building Search & AI Features
Add reliable, grounded retrieval to products that currently rely on a model's raw output alone.
Backend Engineers
Learn to design and operate the indexing and retrieval layer behind a grounded AI system.
ML-Curious Engineers
Specialize in retrieval systems as a focused, in-demand corner of applied AI engineering.
What You'll Learn
A practical path from retrieval fundamentals to building and evaluating a working RAG pipeline.
Retrieval Foundations
Embeddings, vector search, and how retrieval grounds a model's answers in real data instead of guesswork.
Building a RAG Pipeline
Chunking, indexing, and connecting a retrieval layer to an LLM to produce grounded, sourced responses.
Evaluation & Production Concerns
Measure retrieval quality, handle stale or updated data, and recognize common failure modes before they ship.
Capstone: Build a Grounded Q&A System
Build a working RAG application over a real document set, with instructor feedback along the way.
How the Course Runs
Live online classes with an instructor, plus recordings for anything you need to revisit. Small enough batches that you can actually ask questions and get answered.
You'll build a working retrieval pipeline throughout the course, not just at the end, and get a certificate once you complete the requirements.
See Full ProcessBefore You Enroll
Do I need to know how to code?
Yes — this course assumes an existing programming background. If you're new to generative AI concepts generally, start with the Generative AI course first.
How is this different from the AI Agent Development course?
This course goes deep specifically on retrieval: embeddings, indexing and grounding. The AI Agent Development course covers the broader architecture of agents, including tool use and orchestration.
What will I be able to do after this course?
Design, build and evaluate a retrieval pipeline that grounds an AI system's answers in real, current data, and have a working project to show for it.
What does it cost?
See the pricing page for current course fees.
Ready to Build Grounded AI Systems?
Talk to an advisor about whether this course fits your background and goals — no obligation.