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Retrieval-Augmented Generation (RAG) Courses

Retrieval-augmented generation (RAG) courses can help you learn how to combine information retrieval with generative models, enhancing the quality of AI outputs. You’ll explore techniques for integrating external knowledge sources, fine-tuning models for specific tasks, and evaluating the effectiveness of generated content.


Popular RAG Courses and Certifications


  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Large Language Modeling, Data Processing, Data Management, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    50 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Embeddings, Prompt Engineering, Query Languages, Vector Databases, Data Storage, Unstructured Data, Graph Theory

    4.8
    Rating, 4.8 out of 5 stars
    ·
    98 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    RAG and Agentic AI Capstone Project

    Skills you'll gain: Model Context Protocol, Retrieval-Augmented Generation, Generative AI, AI Workflows, LLM Application, Generative AI Agents, AI Orchestration, Multimodal Prompts, Agentic Workflows, Embeddings, JSON, Tool Calling, Large Language Modeling, Agentic systems, Vector Databases, Unstructured Data, System Testing

    3.9
    Rating, 3.9 out of 5 stars
    ·
    7 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    LangChain Chat with Your Data

    Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, Large Language Modeling, Embeddings, Data Processing, Data Store, Data Access, Vector Databases, Prompt Engineering, Document Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    671 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    AI & LLM Engineering Mastery - GenAI, RAG Complete Guide

    Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, Prompt Patterns, AI Workflows, Generative Model Architectures, Fine-tuning, Model Deployment, Token Optimization, Applied Machine Learning, Hugging Face, Programming Principles, Application Deployment, Memory Management, Object Oriented Programming (OOP), Context Management, API Testing, Document Management, Model Optimization, Embeddings, Software Installation

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    RAG-Driven Generative AI

    Skills you'll gain: Generative AI, OpenAI, AI Workflows, Data Pipelines, Semantic Web, Deep Learning, Scalability, Artificial Intelligence, Natural Language Processing, Machine Learning, Data Science

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Mastering Claude AI: Prompting, APIs, RAG, and MCP

    Skills you'll gain: Retrieval-Augmented Generation, Model Context Protocol, Agentic Workflows, Prompt Engineering, Anthropic Claude, Application Programming Interface (API), Prompt Patterns, Prompt Engineering Tools, LLM Application, JSON, AI Integrations, Generative AI Agents, AI literacy, Tool Calling, Generative AI, Scripting, Token Optimization, Document Management, Context Engineering, Agentic systems

    2.8
    Rating, 2.8 out of 5 stars
    ·
    9 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Vector Databases for Machine Learning: A Comprehensive Guide

    Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Docker (Software), Agentic systems, Generative AI, Generative Model Architectures, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Vector Databases for RAG: An Introduction

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Database Systems, LLM Application, Data Storage Technologies, Database Management Systems, AI Enablement, Large Language Modeling, Database Management, Database Architecture and Administration, Generative AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    82 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Retrieval Augmented Generation

    Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, LLM Application, Development Environment, Prompt Patterns, Multimodal Prompts, Tool Calling, Embeddings, Generative AI Agents, Vector Databases, User Interface (UI), Prompt Engineering Tools, OpenAI API, Generative AI, Program Development, Agentic systems, Plot (Graphics), Software Development Tools, AI Integrations, Augmented Reality

    4.3
    Rating, 4.3 out of 5 stars
    ·
    17 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Build RAG Applications: Get Started

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, AI Workflows, Large Language Modeling, Embeddings, Vector Databases

    4.5
    Rating, 4.5 out of 5 stars
    ·
    140 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building RAG Systems with Open Models

    Skills you'll gain: Retrieval-Augmented Generation, Generative Model Architectures, Generative AI, LangChain, Software Design Patterns, Vector Databases, LLM Application, Embeddings, Large Language Modeling, AI Workflows, Model Evaluation, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

1234…17

In summary, here are 10 of our most popular rag courses

  • Introduction to Retrieval Augmented Generation (RAG): Duke University
  • Knowledge Graphs for RAG: DeepLearning.AI
  • RAG and Agentic AI Capstone Project: IBM
  • LangChain Chat with Your Data: DeepLearning.AI
  • AI & LLM Engineering Mastery - GenAI, RAG Complete Guide: Packt
  • RAG-Driven Generative AI: Packt
  • Mastering Claude AI: Prompting, APIs, RAG, and MCP: Edureka
  • Vector Databases for Machine Learning: A Comprehensive Guide: Coursera
  • Vector Databases for RAG: An Introduction: IBM
  • Retrieval Augmented Generation: Packt

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