Retrieval Augmented Generation Courses and Certifications

Advanced RAG: Build & Deploy Production GenAI Apps

67 ratings at Udemy

Multi-Agent RAG, CrewAI, AutoGen, Microsoft Agent Framework, RAG, Langchain, Deep RAG, Production RAG, RAGWire

• Udemy
• 11 hours
• Self-Paced
• Paid Course

Complete RAG Bootcamp: Build, Optimize, and Deploy AI Apps

48 ratings at Udemy

Learn to build intelligent, retrieval-powered AI systems using LangChain, LlamaIndex, and real-world RAG workflows

• Udemy
• 7 hours
• Self-Paced
• Paid Course

Mastering Generative AI: Agents with RAG and LangChain

Power up your resume with in-demand RAG and LangChain skills employers are looking for. Dive into the world of retrieval augmented generation (RAG), Hugging Face, and LangChain and take your gen AI ca

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

Pragmatic AI Labs

Advanced RAG

Master cutting-edge RAG techniques to enhance LLM applications. Learn embedding strategies, document processing, and advanced retrieval methods for building high-performance AI solutions in enterprise

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

Mastering Generative AI Project: RAG and LangChain App

Get valuable practical experience building a real-world gen AI application that you can talk about in interviews.

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

RAG: Build Apps with LangChain and LlamaIndex

Learn RAG development through hands-on training in retrieval pipelines, Gradio interfaces, and LlamaIndex workflows to build accurate, context-aware AI applications

• edX
• 2 weeks, 3-6 hours a week
• Self-Paced
• Free Online Course (Audit)

Career Certificate

Build AI-Powered Applications with Streamlit and RAG

Build production-ready AI applications with Streamlit, adding retrieval to language models through RAG and applying MLOps practices for deployment and monitoring.

• Codecademy
• 5 hours
• Self-Paced
• Free Trial Available

RAG: Vector Databases and Retrievers

Master advanced RAG techniques using FAISS, ChromaDB, and modern retrievers while building high-performance search applications with LangChain and LlamaIndex, and Gradio.

• edX
• 1 week, 3-7 hours a week
• Self-Paced
• Free Online Course (Audit)

Create Embeddings, Vector Search, and RAG with BigQuery

Learn how to build Retrieval Augmented Generation (RAG) pipelines in BigQuery to reduce AI hallucinations. Create embeddings, search vector spaces, and generate more accurate answers using Gemini and

• edX
• 2 weeks, 1-2 hours a week
• Self-Paced
• Free Certificate

RAG with MongoDB

Build Retrieval-Augmented Generation applications with MongoDB, integrating vector search, optimizing retrieval workflows, and enhancing LLM-powered apps.

• MongoDB University
• 1 hour
• Self-Paced
• Free Certificate

Using Atlas Vector Search for RAG Applications

Implement retrieval-augmented generation with MongoDB Atlas Vector Search, wiring up vector search and RAG in an application using the MongoDB Python driver.

• MongoDB University
• 5 hours
• Self-Paced
• Free Certificate

Talk to Your Documents with LangChain and Python

Build document-based chat applications with LangChain and Python. Learn to process documents, retrieve relevant content, and use RAG techniques to answer questions from source material.

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

Talk to Your Documents with LangChain and JavaScript

Build document-aware chat applications with LangChain and JavaScript. Learn to process documents, retrieve relevant context, and implement RAG workflows for AI-powered question answering.

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

Career Certificate

Deploying and Evaluating GenAI Apps Learning Badge Path

Deploy and evaluate RAG applications with MongoDB through data chunking, deployment options, and Atlas Vector Search performance practices.

• MongoDB University
• 2 hours
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

AWS SimuLearn: Enhance LLM Capabilities with a Vector Database

Design and build an AWS solution that enhances large language model capabilities with a vector database.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course