02 · Curriculum
What's in the course.
- Vector Databases in Practice - Intuition30m
- Vector Databases in Practices - Hands-on57m
Intermediate
Vector Databases in Practice
Vector DBs in Practice is an applied course that provides a rigorous yet hands-on understanding of vector databases as core infrastructure for modern AI systems. Participants begin by demystifying embeddings and high-dimensional search, ex…
- 4+
- enrolled
- 3 hrs
- of instruction
- 7
- lectures
- 3
- modules
Taught by Sachin Tripathi01 · What you'll be able to do
Five things you can ship afterwards.
Vector DBs in Practice is an applied course that provides a rigorous yet hands-on understanding of vector databases as core infrastructure for modern AI systems. Participants begin by demystifying embeddings and high-dimensional search, exploring similarity metrics such as L1, L2, and Cosine, and examining the key algorithms that power efficient vector retrieval at scale. The course culminates in building Retrieval-Augmented Generation (RAG) pipelines using platforms like Pinecone, Weaviate, and ChromaDB, enabling learners to design and deploy scalable, production-ready semantic search and AI applications.
Explain the mathematical foundations
Explain the mathematical foundations of vector databases.
Evaluate and apply similarity
Evaluate and apply similarity metrics.
Analyze and compare vector
Analyze and compare vector search algorithms.
Design and implement Retrieval-Augmented
Design and implement Retrieval-Augmented Generation (RAG) pipelines using popular Vector DBs.
Architect production-ready semantic search
Architect production-ready semantic search systems.
03 · Instructors
Taught by the people who built it.
Sachin Tripathi
All courses by Sachin04 · Is it for you?
Who it's for, and what to bring.
Built for
- AI/ML Engineers
- Backend & Full-Stack Developers
- Data Engineers
- Solution Architects & Technical Leads
- Applied Researchers & Advanced Practitioners
Bring with you
- Working knowledge of Python
- Experience working with JSON, REST APIs, and basic data preprocessing
- Basic understanding of embeddings, transformers, and large language models (LLMs)
- Access to VS Code or equivalent IDE with accounts for Pinecone, and Weaviate
05 · FAQ
Before you enrol.
Each of the 3 modules is a recorded live session, with slide deck and handouts, readings from that session. Watch at your own pace.
$49.00
Ready to start?
$49, or free with Premium membership.