Launch Chroma Fast

About this course

Launch Chroma Fast is an intermediate course for ML engineers and AI practitioners looking to prototype and test vector search applications. This course teaches the critical skill of standing up a local vector database for Retrieval-Augmented Generation (RAG) and semantic search, bypassing the need for complex cloud infrastructure. It provides a direct path to mastering essential Chroma operations and getting a functional instance running quickly. To succeed, you will need basic Python programming experience and a foundational understanding of machine learning concepts, particularly embeddings. No prior database experience is required. Through hands-on-labs, you will install and configure Chroma using its Python SDK, manage collections, and ingest documents with practical examples from enterprise knowledge management and biomedical research. The course culminates in a final project where you will ingest over 2,000 documents and execute similarity searches. Upon completion, you will have the proven ability to deploy, test, and utilize a local Chroma environment, marking a significant step forward in your AI development journey.

Course objectives

• prototype vector search applications
• gain practical experience with Chroma operations
• complete a final project involving 2,000 documents