What Will You Learn
Take your RAG systems to the next level with advanced embedding techniques, vector databases, and neural re-ranking. This comprehensive course covers the full spectrum of modern retrieval methods that power today's most capable AI systems.
Deep dive into embedding models (BERT, Sentence-Transformers), efficient vector search algorithms (FAISS, HNSW), vector database performance optimization, neural re-rankers, and techniques for training custom embedding models tailored to your specific domain.
Who Is This Course For
Software engineers, data scientists, and AI practitioners looking to implement advanced retrieval systems for LLMs
Meet Liz Howard
Liz is a highly technical expert educator and manager, with over 20 years of experience. they have taught over 20,000 people in person and the repeatable processes they developed have graduated an order of magnituge more. Their in-person students are hired at a rate over 98% at an average starting salary of 106k. They have multiple exits (Hackbright, Hipcamp, Galvanize). They have made impacts on the tech industry so large they can be measured in whole percentage points of the national software engineering population.
Join as a Member
Just This Course
Underrepresented in Tech Pricing
- Deep dive into advanced RAG techniques
- Four 90-minute live sessions
- Hands-on experience with embedding models
- Learn vector search algorithms and database optimization
- Master neural re-ranking techniques
- Please self-select into this tier- if you need it, use it
Standard Pricing
- Deep dive into advanced RAG techniques
- Four 90-minute live sessions
- Hands-on experience with embedding models
- Learn vector search algorithms and database optimization
- Master neural re-ranking techniques
- Help pay for underrepresented folks in tech!
Get In Touch
Want to hire us for your staff training or speaking at your conference?
You can email us at liz@themultiverse.school