Chromadb Courses and Certifications

Storing, Indexing, and Managing Vector Data with ChromaDB

Hands-on course on using ChromaDB to store, query, index, and optimize large-scale vector data.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Optimizing and Scaling ChromaDB for Vector Search

Optimize ChromaDB for large-scale vector search by reducing retrieval latency, narrowing search spaces, and processing real-time data streams.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Career Certificate

Building a Vector Search Engine with ChromaDB

Build vector-based search systems with ChromaDB by generating embeddings, implementing semantic retrieval, and optimizing scalable vector data management.

• CodeSignal
• 8 hours
• Self-Paced
• Free Certificate
• 4 courses

RAG: Vector Databases with ChromaDB

Learn vector databases, similarity search, and ChromaDB operations to build recommendation systems, and improve AI retrieval performance in GenAI applications using embeddings.

• edX
• 3 weeks, 3-9 hours a week
• Self-Paced
• Free Online Course (Audit)

Implementing Semantic Search with ChromaDB

Implement advanced ChromaDB search with multi-query expansion, hybrid retrieval, metadata filters, and relevance reranking.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Vector Databases: An Introduction with Chroma DB

52 ratings at Coursera

Learn vector database fundamentals and how they differ from traditional databases, then set up environments and run updates, deletes, collections, and similarity searches in Chroma DB.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

Vector Database Projects: AI Recommendation Systems

16 ratings at Coursera

Build two ChromaDB recommendation systems: generate embeddings for a collection and run similarity searches over user search terms with NLP algorithms.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Chroma Database Mastery

Build semantic search and RAG systems on Chroma: set up persistent clients, filter by metadata, wire in OpenAI or HuggingFace embeddings, expose a Flask API, measure MRR.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Coursera

Integrate Embeddings and Chroma

Build an automated vectorization pipeline that connects OpenAI and HuggingFace embedding models to ChromaDB, then diagnose dimension mismatches and encoding errors in a broken pipeline.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Launch Chroma Fast

Stand up a local Chroma vector database with its Python SDK: create collections, ingest over 2,000 documents, and run similarity searches for semantic search.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

Introduction to Embeddings with the OpenAI API

3166 ratings at DataCamp

Enable Powerful AI Applications Embeddings allow us to represent text numerically, capturing the context and intent behind the text.

• DataCamp
• 3 hours
• Self-Paced
• Free Trial Available

Building a Vector Search Engine with ChromaDB

Build vector-based search systems with ChromaDB using embeddings, semantic retrieval, reranking, and scalable query techniques. Improve search relevance and performance for large vector datasets.

• edX
• 3 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

AI Bites

Building a RAG Pipeline with LangChain and ChromaDB for Email-Based Chat Applications

Master practical RAG implementation with LangChain and ChromaDB to build an intelligent email-based chatbot system using vector stores, text splitters, and LLM integration.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

echohive

Langchain Summary and QA with Chromadb Using OpenAI Embeddings and GPT-3 With Token Count

Build five LangChain document summarization and question-answering apps with ChromaDB, GPT-3, embeddings, custom prompts, and four chain types.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

echohive

Open Source Multi-Modal RAG with ChromaDB Using OpenCLIP Embeddings

Explore open-source multi-modal RAG system using ChromaDB and OpenCLIP embeddings. Learn implementation, code review, and get a preview of advanced coding techniques for AI-powered information retrieval.

• YouTube
• 19 minutes
• Self-Paced
• Free Video