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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


  • Status: Preview
    Preview
    Status: AI skills
    AI skills
    D

    DeepLearning.AI

    Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Prompt Engineering, Vector Databases, Embeddings, System Monitoring, Application Security, Fine-tuning, Artificial Intelligence, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    192 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Prompt Patterns, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI, AI Security, Generative AI Agents, Vector Databases, OpenAI API, AI Integrations, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    899 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    RAG for Generative AI Applications

    Skills you'll gain: Prompt Engineering, LangChain, Retrieval-Augmented Generation, Prompt Patterns, LLM Application, Generative AI, Vector Databases, Generative AI Agents, Tool Calling, Embeddings, AI Workflows, User Interface (UI), AI Integrations, Large Language Modeling, UI Components, Database Systems, Model Evaluation, Data Storage Technologies, Database Management Systems, AI Enablement

    4.6
    Rating, 4.6 out of 5 stars
    ·
    662 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Fundamentals of AI Agents Using RAG and LangChain

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Engineering Tools, LLM Application, Generative AI Agents, Large Language Modeling, Generative AI, Tool Calling, Hugging Face, Context Engineering, Embeddings, Agentic systems

    4.6
    Rating, 4.6 out of 5 stars
    ·
    211 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Data Wrangling, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Prompt Engineering Tools, LLM Application, Keras (Neural Network Library), Responsible AI, Vector Databases, Fine-tuning, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    99K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Project: Generative AI Applications with RAG and LangChain

    Skills you'll gain: Vector Databases, LLM Application, Retrieval-Augmented Generation, Generative AI, Embeddings, Document Management, Fine-tuning, User Interface (UI)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    238 reviews

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, Transfer Learning, Model Evaluation, Computer Vision, PyTorch (Machine Learning Library), Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Prompt Engineering Tools, Vision Transformer (ViT), Keras (Neural Network Library), Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: LangChain, Prompt Engineering, LLM Application, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, Tool Calling, Embeddings, OpenAI API, ChatGPT, Google Gemini, AI Workflows, Generative AI Agents, Token Optimization, Agentic Workflows

    4.2
    Rating, 4.2 out of 5 stars
    ·
    29 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Building Multimodal Search and RAG

    Skills you'll gain: Retrieval-Augmented Generation, Multimodal Prompts, LLM Application, Embeddings, Large Language Modeling, Generative AI, Vector Databases, Image Analysis, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    43 reviews

    Intermediate · Project · Less Than 2 Hours

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

    Coursera

    Understand RAG Basics

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Data Flow Diagrams (DFDs), Prompt Engineering, AI Integrations, Generative AI, Embeddings, Diagram Design, Large Language Modeling, Vector Databases, Data Pipelines, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Advanced RAG with Vector Databases and Retrievers

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, LLM Application, User Interface (UI), Embeddings, Large Language Modeling, UI Components, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

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

  • Retrieval Augmented Generation (RAG): DeepLearning.AI
  • IBM RAG and Agentic AI: IBM
  • RAG for Generative AI Applications: IBM
  • Fundamentals of AI Agents Using RAG and LangChain: IBM
  • IBM Generative AI Engineering: IBM
  • Project: Generative AI Applications with RAG and LangChain: IBM
  • IBM AI Engineering: IBM
  • Introduction to Retrieval Augmented Generation (RAG): Coursera
  • Building Multimodal Search and RAG: DeepLearning.AI
  • Understand RAG Basics: Coursera

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