Chromadb Courses and Certifications

Vector Databases for RAG: An Introduction

92 ratings at Coursera

Master vector databases and ChromaDB for building recommendation systems and RAG applications through hands-on labs with real-world datasets and similarity search techniques.

• Coursera
• 9 hours 16 minutes
• Self-Paced
• Paid Course

Career Certificate

Vector Database Fundamentals

76 ratings at Coursera

Learn vector database fundamentals using Chroma DB, MongoDB, PostgreSQL, and Cassandra to build AI-powered applications like recommendation engines and similarity searches.

• Coursera
• 4 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

Advanced RAG with Vector Databases and Retrievers

71 ratings at Coursera

Dive into advanced Retrieval-Augmented Generation (RAG) techniques, vector databases, and retrievers to build intelligent search applications with FAISS, ChromaDB, and LangChain for improved AI-powered solutions.

• Coursera
• 7 hours 49 minutes
• Self-Paced
• Paid Course

Coursera

Building RAG Systems with Open Models

1 rating

Discover how to build production-ready RAG systems using open models, embeddings, vector databases, and advanced retrieval methods for real-world applications.

• Coursera
• 11 hours 11 minutes
• Self-Paced
• Paid Course

Vector Databases: An Introduction with Chroma DB

52 ratings at Coursera

Explore vector databases, their role in AI-powered searches, and gain hands-on experience with Chroma DB for similarity searches and recommendation systems.

• Coursera
• 4 hours 17 minutes
• Self-Paced
• Paid Course

Packt

The Complete LangChain & LLMs Guide

23 ratings at Coursera

Master LangChain and LLMs through hands-on projects, from setting up development environments to building advanced AI applications like chatbots, PDF extractors, and recipe generators using Python, Streamlit, and HuggingFace.

• Coursera
• 13 hours 42 minutes
• Self-Paced
• Paid Course

Vector Database Projects: AI Recommendation Systems

15 ratings at Coursera

Develop AI-powered recommendation systems using vector databases, Chroma DB, and Hugging Face models. Create food ordering and job search projects to showcase your skills in this high-growth field.

• Coursera
• 6 hours 3 minutes
• Self-Paced
• Paid Course

Board Infinity Career Certificate

Managing AI Systems: Development, Deployment, and Governance

Master the full AI lifecycle—from architecting RAG pipelines and LLMOps workflows to enforcing safety, compliance, and governance for enterprise-scale AI deployment.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Packt

Gen AI - RAG Application Development using LlamaIndex

Dive into RAG application development using LlamaIndex and LLMs, mastering prompt engineering, vector databases, query pipelines, and agent creation to build sophisticated AI applications that handle complex data needs.

• Coursera
• 9 hours 37 minutes
• Self-Paced
• Paid Course

LearnKartS Career Certificate

Agentic AI Engineering: RAG, MCP & MERN

Master building autonomous AI systems using RAG, MCP & MERN stack—integrating OpenAI, vector databases, and tool calling to deploy production-ready agentic AI applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

LearnKartS

MCP Servers & Agentic AI Architecture

Master MCP server architecture and agentic AI workflows—build production-ready systems with tool calling, LLM integration, vector databases, and autonomous agent controllers using Gemini and OpenAI.

• Coursera
• 17 hours 51 minutes
• Self-Paced
• Paid Course

Board Infinity

RAG Systems & Agentic Workflows with Pinecone and LangGraph

Master RAG pipelines, vector databases, and agentic workflows using Pinecone, LangChain, and LangGraph to build production-ready AI systems with memory, semantic search, and observability.

• Coursera
• 19 hours 21 minutes
• Self-Paced
• Paid Course

LearnKartS

Agentic AI Systems with Vector DBs & RAG

Master building Agentic AI systems using RAG, pgVector, and ChromaDB to create adaptive, real-time AI that retrieves data dynamically and makes autonomous decisions for production-ready applications.

• Coursera
• 13 hours 51 minutes
• Self-Paced
• Paid Course

Board Infinity

Advance Multi-Agent Systems & Production AI with LangSmith

Master multi-agent AI systems using LangSmith, LangChain, and ChromaDB. Build RAG pipelines, vector databases, conversational agents, and production-ready workflows with observability and optimization tools.

• Coursera
• 15 hours 43 minutes
• Self-Paced
• Paid Course

Introduction to Vector Databases for RAG

Explore vector databases and ChromaDB for Retrieval-Augmented Generation (RAG), learning similarity search techniques and building recommendation systems through hands-on labs with Hugging Face embedding models.

• Coursera
• 1 hour 5 minutes
• Self-Paced
• Free Online Course (Audit)