Vector Databases Courses and Certifications

Coursera

Vector Database Foundations and Core Concepts

Master vector database technologies, from generating embeddings and similarity metrics to implementing ANN search and HNSW optimization for semantic search and RAG systems.

• Coursera
• 12 hours
• Self-Paced
• Paid Course

Coursera

Deploy Vector DBs Securely

Unlock enterprise-grade deployment skills for vector databases with Docker containerization, TLS encryption, RBAC security, and Grafana monitoring for production environments.

• Coursera
• 1 hour 58 minutes
• Self-Paced
• Paid Course

Coursera

Chroma Database Mastery

Master Chroma vector database skills, from setup to production-ready RAG systems. Build semantic search apps, ETL pipelines, and a knowledge base using ChromaDB, LangChain, and embedding models.

• Coursera
• 14 hours
• Self-Paced
• Paid Course

Coursera

Optimize and Migrate Vectors

Master vector database optimization and migration techniques to achieve sub-millisecond latency and seamless platform transfers in enterprise AI environments.

• Coursera
• 1 hour 16 minutes
• Self-Paced
• Paid Course

Coursera

Integrate Embeddings and Chroma

Master automated vectorization pipelines by integrating embedding models with ChromaDB, troubleshooting common failures, and building production-ready ML systems.

• Coursera
• 2 hours 46 minutes
• Self-Paced
• Paid Course

Coursera

Launch Chroma Fast

Master Chroma vector database setup and similarity search for RAG applications through hands-on labs with 2,000+ documents in under 2 hours.

• Coursera
• 1 hour 48 minutes
• Self-Paced
• Paid Course

Coursera

Manage Data in Chroma

Master advanced Chroma vector database management with metadata filtering, multi-collection architectures, and automated ETL pipelines for scalable AI applications.

• Coursera
• 2 hours 14 minutes
• Self-Paced
• Paid Course

Vector Database Capstone Project

Implement ChromaDB vector databases for AI recommendation systems through guided and final projects, showcasing your skills in similarity searches and NLP algorithms.

• Coursera
• 4 hours 31 minutes
• Self-Paced
• Paid Course

Vector Embeddings Tutorial – Create an AI Assistant with GPT-4 & Natural Language Processing

2 ratings

Create an AI assistant using vector embeddings, GPT-4, and NLP. Learn about text embeddings, their applications, and practical implementation with OpenAI, databases, and Langchain.

• freeCodeCamp
• Self-Paced
• Free Video

Advanced RAG with Vector Databases and Retrievers

70 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

Scrimba

Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

65 ratings at Coursera

Master AI embeddings and vector databases for advanced applications, from setup to semantic searches and chatbot development. Gain practical skills in creating, managing, and querying embeddings for real-world AI solutions.

• Coursera
• 3 hours 34 minutes
• Self-Paced
• Paid Course

Discover AI

How to Import and Query Large PDF Collections in Language Models

Discover practical techniques for integrating and querying thousands of PDF documents with large language models to enable efficient corporate data analysis and Q&A capabilities.

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

CMU Database Group

Qdrant: Open Source Vector Search Engine and Vector Database

Explore Qdrant, an open-source vector search engine and database. Learn its architecture, capabilities, and applications in machine learning and information retrieval.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Building Generative AI Solutions with Vector Databases

This lesson covers vector databases, crucial for enhancing AI's long-term memory. Topics include core concepts, retrieval methods, and advanced indexing.

• Udacity
• 3 hours
• Self-Paced
• Paid Course

Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More

Comprehensive exploration of generative AI, covering frameworks, APIs, vector databases, and practical projects. Ideal for developers seeking hands-on experience with cutting-edge AI technologies.

• freeCodeCamp
• 6 hours 18 minutes
• Self-Paced
• Free Video