Retrieval Augmented Generation Courses and Certifications

RAG and Agentic AI Capstone Project

28 ratings at Coursera

Master building a production-style multimodal RAG and Agentic AI system—from structured data and embeddings to multi-agent workflows, MCP integration, and a deployable Gradio chatbot interface.

• Coursera
• 14 hours 20 minutes
• Self-Paced
• Paid Course

Building AI Applications with Haystack

14 ratings at Coursera

Learn to build flexible AI applications using Haystack framework. Develop RAG pipelines, custom components, conditional routing, self-reflecting agents, and chat agents with function-calling capabilities.

• Coursera
• 1 hour 2 minutes
• Self-Paced
• Paid Course

Packt

AI Enhancement with Knowledge Graphs - Mastering RAG Systems

10 ratings at Coursera

Master the integration of Knowledge Graphs with RAG systems to enhance AI capabilities, covering Neo4j implementation, vector embeddings, and end-to-end project development for improved contextual understanding.

• Coursera
• 5 hours 50 minutes
• Self-Paced
• Paid Course

Coursera

LLM Engineering with RAG: Optimizing AI Solutions

Master RAG techniques to integrate enterprise data with LLMs, building AI applications using LangChain, FAISS, and OpenAI APIs while optimizing vector search, prompt engineering, and scalable deployment for intelligent solutions.

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

LearnKartS

Agentic AI Foundations: Build RAG & MCP Chatbots

Master Agentic AI by building production-ready RAG & MCP chatbots with Angular, Node.js, OpenAI, and Gemini—creating intelligent systems that retrieve, reason, and act autonomously.

• Coursera
• 15 hours 55 minutes
• Self-Paced
• Paid Course

Board Infinity

AI Systems Design: RAG Pipelines and LLM Architecture

Master enterprise-grade RAG pipelines and LLM architecture—from problem scoping and data strategy to building end-to-end retrieval-augmented generation prototypes with Streamlit UI.

• Coursera
• 16 hours 55 minutes
• Self-Paced
• Paid Course

Prompt Compression and Query Optimization

Learn advanced techniques to optimize RAG applications: prefiltering, postfiltering, projection, reranking, and prompt compression. Hands-on exercises with MongoDB for efficient vector search and query processing.

• Coursera
• 1 hour 2 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

Edureka

RAG Systems in Practice

Master building, optimizing, and deploying Retrieval-Augmented Generation systems that combine language models with external knowledge sources for enhanced AI accuracy.

• Coursera
• 13 hours 45 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

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

LearnKartS

Build Production AI Agents with RAG & MCP

Master building production-ready AI agents using RAG & MCP, integrating Gemini and OpenAI with Node.js backends, embeddings, semantic search, and scalable architectures for real-world applications.

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

H2O.ai

H2O GPTe Learning Path

Master enterprise AI with H2O GPTe, covering AI-powered search, RAG techniques, Python API integration, and web application development for transforming organizational data strategies.

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

Packt

RAG-Driven Generative AI

Master RAG pipelines using LlamaIndex, Deep Lake, and Pinecone to build scalable, context-aware AI systems that minimize hallucinations and optimize performance for real-world applications.

• Coursera
• 15 hours 59 minutes
• Self-Paced
• Paid Course