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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.
IBM
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 career up a gear in just 2 weeks!
Microsoft
Learn how to implement Retrieval Augmented Generation (RAG) on Azure Database for PostgreSQL using Azure AI and vector (pgvector) extensions. Build a Python-based application and explore advanced options like GraphRAG.
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
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…
Google Cloud
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 embedding models.
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…
Amazon Web Services
Step up your generative AI skills with this course focused on building generative AI applications using Amazon Bedrock. Building on the fundamentals, you'll dive deep into advanced features and services that enable more complex solutions.
This course will guide you through the basics of Retrieval-Augmented Generation (RAG), starting with its fundamental concepts and components. You'll learn how to build a RAG system for chatting with documents, explore advanced techniques, and understand the pitfalls of naive RAG. ✏️ Course created…
This practical crash course teaches you to build integrated AI systems rather than standalone tools. You will first master Retrieval-Augmented Generation (RAG) to connect models to your own data for accurate, context-aware answers. Next, you will learn the Model Context Protocol (MCP) to coordinate…
Amazon Web Services
Explore the intersection of DevOps and Generative AI on AWS in this hands-on course. Learn to enhance existing applications with powerful AI features using Amazon Bedrock's large language models (LLMs). You'll gain practical experience in implementing customized text generation, mastering prompt en…
In this comprehensive course, you'll delve into the cutting-edge realm of Gen AI and Retrieval Augmented Generation (RAG), with a focus on leveraging SingleStore technology. Sign up: https://msql.co/S2-intro-to-RAG
IBM
Data Scientists, AI Researchers, Robotics Engineers, and others who can use Retrieval-Augmented Generation (RAG) can expect to earn entry-level salaries ranging from USD 93,386 to USD 110,720 annually, with highly experienced AI engineers earning as much as USD 172,468 annually (Source: ZipRecruite…
DeepLearning.AI
Information Retrieval (IR) and Retrieval Augmented Generation (RAG) are only effective if the information retrieved from a database as a result of a query is relevant to the query and its application. Too often, queries return semantically similar results but don’t answer the question posed. They m…
DeepLearning.AI
This course focuses on integrating traditional database features with vector search capabilities to optimize the performance and cost-efficiency of large-scale Retrieval Augmented Generation (RAG) applications. You’ll learn how to apply these key techniques: 1. Prefiltering and Postfiltering: These…
IBM
Master advanced RAG techniques using FAISS, ChromaDB, and modern retrievers while building high-performance search applications with LangChain and LlamaIndex, and Gradio.
Microsoft
Master AI product management using the Microsoft Azure AI and Copilot stacks. This course teaches non-tech professionals to build, vet, and lead AI features while adhering to enterprise-grade responsible AI and data governance standards.
Duke University
In this 2-hour project-based course, you will learn how to import data into Pandas, create embeddings with SentenceTransformers, and build a retrieval augmented generation (RAG) system with your data, Qdrant, and an LLM like Llamafile or OpenAI. This hands-on course will teach you to build an end-t…
In this video, I'll be showing you how to build your own custom AI agent within Python using Retrieval Augmented Generation (RAG) and LangChain. Even if you're an intermediate Python user, this tutorial will be easy to follow as I demonstrate how to query information and then make an AI agent that…
DeepLearning.AI
Vector databases use embeddings to capture the meaning of data, gauge the similarity between different pairs of vectors, and navigate large datasets to identify the most similar vectors. In the context of large language models, the primary use of vector databases is retrieval augmented generation (…
Amazon Web Services
This course introduces developers to Generative AI with AWS, from Amazon Q Developer to Amazon Bedrock's foundation models. Learn implementation strategies for integrating AI services into your workflow, including prompts, guardrails, and best practices. Discover how organizations use AWS AI servic…
