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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


  • I

    IBM

    Build RAG Applications: Get Started

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Prompt Patterns, AI Workflows, Prompt Engineering, Large Language Modeling, Model Deployment, Embeddings, Vector Databases, Data Processing, Document Management

    ★ 4.5 (163) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Patterns, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Reinforcement Learning, Transfer Learning, Data Pipelines

    ★ 4.5 (1.1K) · Intermediate · Specialization · 3 - 6 Months

    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

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

    IBM

    Vector Databases for RAG: An Introduction

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Database Systems, Data Storage Technologies, Databases, Database Management, AI Integrations, Database Architecture and Administration, Generative AI

    ★ 4.6 (99) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • G

    Google Cloud

    Create Embeddings, Vector Search, and RAG with BigQuery

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Google Gemini, Vector Databases, Generative AI, LLM Application, AI Integrations, AI Workflows, Google Cloud Platform

    Advanced · Course · 1 - 4 Weeks

    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

    ★ 4.4 (31) · Advanced · Course · 1 - 3 Months

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

    Coursera

    Advanced RAG Patterns

    Skills you'll gain: Retrieval-Augmented Generation, Prompt Patterns, Agentic systems, Performance Testing, Prompt Engineering, Generative AI Agents, Generative AI, Agentic Workflows, Performance Tuning, Model Evaluation, Verification And Validation, Large Language Modeling, MLOps (Machine Learning Operations), Embeddings

    Intermediate · Course · 1 - 4 Weeks

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

    Packt

    AI Enhancement with Knowledge Graphs - Mastering RAG Systems

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, LLM Application, AI Workflows, Embeddings, AI Integrations, Large Language Modeling, Graph Theory, Query Languages, Interactive Data Visualization, Data Processing, Development Environment

    ★ 4.9 (10) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • V

    Vanderbilt University

    Advanced Prompt Engineering for Everyone

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, Generative AI, Context Engineering, ChatGPT, AI literacy, AI Personalization, Anthropic Claude, LLM Application, Large Language Modeling, Data Analysis

    ★ 4.8 (807) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • P

    Packt

    Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Database Management Systems, Memory Management, Analysis

    Intermediate · Course · 1 - 3 Months

  • H

    Hugging Face

    Introduction to Multimodal AI with Hugging Face

    Skills you'll gain: Multimodal Prompts, Model Context Protocol, Hugging Face, AI Workflows, LLM Application, Agentic Workflows, Retrieval-Augmented Generation, Generative AI, Responsible AI, Vision Transformer (ViT), Agentic systems, AI Security, Large Language Modeling, Generative AI Agents, Model Deployment, Prompt Engineering, Image Analysis, Computer Vision, Fine-tuning

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
  • 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

    Category: New
    New
1234…21

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

  • Build RAG Applications: Get Started: IBM
  • Generative AI Engineering with LLMs: IBM
  • Building RAG Systems with Open Models: Coursera
  • Vector Databases for RAG: An Introduction: IBM
  • Create Embeddings, Vector Search, and RAG with BigQuery: Google Cloud
  • RAG and Agentic AI Capstone Project: IBM
  • Advanced RAG Patterns: Coursera
  • AI Enhancement with Knowledge Graphs - Mastering RAG Systems: Packt
  • Advanced Prompt Engineering for Everyone: Vanderbilt University
  • Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG: Packt

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