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Learn Retrieval Augmented Generation online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
DeepLearning.AI
Gain fundamental understanding and the practical knowledge to develop production-ready RAG applications, from architecture to deployment and evaluation.
DeepLearning.AI
LangChain: Chat With Your Data delves into two main topics: (1) Retrieval Augmented Generation (RAG), a common LLM application that retrieves contextual documents from an external dataset, and (2) a guide to building a chatbot that responds to queries based on the content of your documents, rather…
Microsoft
Implement advanced retrieval-augmented generation (RAG) pipelines for production AI agents using Azure AI Search and Microsoft Foundry. Design hybrid search architectures, implement reranking strategies, configure dynamic knowledge source routing, and optimize chunking and embedding strategies.
Microsoft
Learn how Foundry IQ transforms how AI agents access and reason over organizational data through its unified knowledge layer and Retrieval Augmented Generation (RAG) capabilities. Build a practical agent that leverages enterprise knowledge through Foundry IQ's agentic retrieval engine.
DeepLearning.AI
Retrieval Augmented Generation (RAG) improves large language model (LLM) responses by retrieving relevant data from knowledge bases—often private, recent, or domain-specific—and using it to generate more accurate, grounded answers. In this course, you’ll learn how to build RAG systems that connect…
Microsoft
Learn how retrieval-augmented generation (RAG) grounds generative AI responses in relevant information.
Microsoft
Implement Retrieval Augmented Generation (RAG) with Azure Databricks
Vanderbilt University
Unlock the full potential of generative AI and become a master of prompt engineering. Dive deeper into how you can use In-context Learning to build better and more reliable prompts. See how Retrieval Augmented Generation (RAG) works and what can go wrong that you can counteract with fact-checkable…
Microsoft
Learn how to implement Retrieval Augmented Generation (RAG) patterns using Azure SQL Database. Identify RAG use cases, prepare database context for Large Language Model (LLM) processing, construct augmented prompts, and process model responses.
Microsoft
Explore complementary strategies to optimize generative AI model performance, including prompt engineering, system messages, model parameters, Retrieval Augmented Generation (RAG), and fine-tuning. Learn when to use each strategy and how to combine them.
Udacity
Build robust AI agents. Integrate tools via function calling, generate structured outputs with Pydantic, manage agent state, and utilize short-term and long-term memory. Create data-driven agents that interact with external APIs, search the web, query SQL databases, and perform agentic RAG for dyna…
Great Learning
In this GLA Free course you will be able to understand the basics and working of Retrieval-Augmented Generation (RAG), along with its core concepts, types, and real-world applications. It also helps in understanding how vector stores, embeddings, and retrieval mechanisms work, along with challenges…
Microsoft
Learn to design intelligent search, work with models and embeddings, and build Retrieval Augmented Generation (RAG) patterns in T-SQL.
DeepLearning.AI
Get started building full-stack RAG web applications. This course introduces the basics of Retrieval Augment Generation (RAG), including its practical implementation with JavaScript. You’ll assemble an intelligent agent capable of running its own queries. This course will guide you through the proc…
IBM
Build in-demand skills in generative AI application development and get hands-on experience creating intelligent chatbots and apps using popular LLMs, RAG technology, and IBM watsonx.
Microsoft
Build AI and analytics capabilities on Azure Cosmos DB for NoSQL: full-text, vector, and hybrid search, retrieval tuning, retrieval-augmented generation, durable agent memory, and no-ETL operational analytics with Microsoft Fabric mirroring.
IBM
Ready to boost your AI career by mastering next-level retrieval techniques for intelligent search and summarization? This hands-on course takes you deep into the world of Retrieval-Augmented Generation (RAG), advanced retrievers, and vector databases such as FAISS and Chroma DB. You'll gain the cut…
Exploring how AI can generate text, images, and sounds: retrieval-augmented generation, autoencoders, diffusion models. Registration (and assignments) for this course won't be available on edX until later this year, so watching now offers a preview. Unlike CS50 AI, which assume a programming backgr…
IBM
A short hands-on project: Retrieval-Augmented Generation (RAG), Llama, Python.
Google Cloud
Transform Your Work With Gen AI Apps is the fourth course of the Gen AI Leader learning path. This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM. It guides you through concepts like grounding, retrieval augmented generation, constructing effecti…
