Vector Databases Courses and Certifications

Packt

Generative AI with Python

Unlock the power of generative AI through hands-on Python development, mastering LLMs, RAG systems, vector databases, and advanced agentic frameworks for real-world applications.

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

Securing Generative AI

Discover essential security measures for deploying LLMs and RAG systems, covering prompt injection, data poisoning, and red teaming to safeguard AI implementations.

• Coursera
• 7 hours 10 minutes
• Self-Paced
• Paid Course

Packt

Preprocessing Unstructured Data for LLMs and RAG Systems

Master preprocessing techniques for unstructured data to enhance LLM and RAG systems. Learn document handling, chunking strategies, and metadata extraction while building practical AI applications with modern frameworks.

• Coursera
• 5 hours 56 minutes
• Self-Paced
• Paid Course

Packt

Multimodal RAG with GPT – Build Smarter Search & AI Systems

Dive into building advanced AI systems with Retrieval Augmented Generation (RAG) and multimodal technology, combining images and text for smarter search engines, chatbots, and recommendation systems.

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

Starweaver

GenAI Data Engineering and RAG Systems

Master advanced data engineering techniques to build enterprise-grade RAG systems that transform raw data into intelligent, context-aware AI applications with vector databases.

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

Packt

Gen AI - RAG Application Development using LangChain

Master RAG application development with LangChain, building chatbots, vector databases, and AI-driven systems through hands-on projects and real-world implementations.

• Coursera
• 12 hours 40 minutes
• Self-Paced
• Paid Course

Coursera

Understand RAG Basics

Discover how to build reliable AI applications using Retrieval-Augmented Generation to ground LLMs with external data and eliminate hallucinations through hands-on Python development.

• Coursera
• 1 hour 39 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

Pragmatic AI Labs

Large Language Models with Hugging Face

Master LLM deployment, prompt engineering, RAG implementation, and agentic systems using Hugging Face ecosystem for real-world AI applications.

• Coursera
• 7 hours 1 minute
• Self-Paced
• Paid Course

Optimizing Foundation Models

Explore RAG and fine-tuning techniques to enhance foundation model performance using AWS services, vector databases, and agents for multi-step tasks.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

JetBrains

Build a Local AI Assistant with LLMs

Master building a local AI assistant using RAG pipelines, FastAPI, Ollama, and Qdrant — processing PDFs into vector embeddings and creating a browser-based Q&A interface, all running privately on your machine.

• Coursera
• 6 weeks, 4 hours a week
• Self-Paced
• Paid Course

Coursera

Architect AI Solutions: From Needs to Models

Master the art of translating business goals into scalable AI architectures, integrating APIs, vector databases, and orchestration layers while balancing accuracy, cost, and performance.

• Coursera
• 1 hour 56 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Chroma, Weaviate & Production RAG Deployment

Master vector databases and RAG deployment with Chroma and Weaviate, building production-ready search systems with advanced patterns, security, and optimization techniques.

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

LearnKartS

Advanced Agentic AI: Production Data Architecture

Master building production-ready Agentic AI systems with RAG pipelines, pgVector, PostgreSQL, and MongoDB—creating scalable, end-to-end architectures for real customer and order workflows.

• Coursera
• 8 hours 9 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