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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

    DeepLearning.AI

    Prompt Compression and Query Optimization

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Prompt Engineering, MongoDB, Token Optimization, Operational Databases, Query Languages, Metadata Management, Performance Tuning, Embeddings, Large Language Modeling, Data Pipelines

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    Building GenAI Applications and Agents

    Skills you'll gain: LangChain, Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, Model Evaluation, Large Language Modeling, CrewAI, OpenAI API, Generative AI Agents, LLM Application, Vector Databases, Agentic Workflows, Tool Calling, ChatGPT, Responsible AI, Token Optimization, Embeddings, OpenAI, Generative AI, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    234 reviews

    Intermediate · Specialization · 1 - 3 Months

  • D

    DeepLearning.AI

    Retrieval Optimization: Tokenization to Vector Quantization

    Skills you'll gain: Token Optimization, Embeddings, Retrieval-Augmented Generation, Vector Databases, Model Optimization, Large Language Modeling, Performance Tuning

    Beginner · Project · Less Than 2 Hours

  • P

    Packt

    Applied Generative AI & NLP with Python

    Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Fine-tuning, Hugging Face, Generative AI, Model Optimization, OpenAI API, Natural Language Processing, Model Training, Large Language Modeling, Generative Model Architectures, LLM Application, Transfer Learning, Embeddings, Python Programming, Artificial Intelligence, Data Preprocessing

    Intermediate · Course · 3 - 6 Months

  • P

    Pragmatic AI Labs

    Generative AI and LLMs on Databricks

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Prompt Engineering Tools, Generative AI Agents, LLM Application, OpenAI, Claude Code, Anthropic Claude, Rust (Programming Language), Databricks, Embeddings, MLOps (Machine Learning Operations), Vector Databases, Data Architecture, DevOps, Python Programming, Software Architecture, Scala Programming, Governance

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Securing Generative AI

    Skills you'll gain: AI Security, Retrieval-Augmented Generation, AI Orchestration, Responsible AI, LangChain, Threat Modeling, LLM Application, Generative AI, Vector Databases, Embeddings, Large Language Modeling, Open Web Application Security Project (OWASP), Security Controls, Prompt Engineering

    Intermediate · Course · 1 - 4 Weeks

  • S

    Scrimba

    Learn Markdown

    Skills you'll gain: Hypertext Markup Language (HTML), Software Documentation, Technical Documentation, Web Development, Technical Writing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    Edureka

    Develop Intelligent AI Agents with OpenAI

    Skills you'll gain: Model Context Protocol, OpenAI API, Retrieval-Augmented Generation, OpenAI, AI Orchestration, Generative AI Agents, Agentic Workflows, Embeddings, ChatGPT, Agentic systems, Vector Databases, Generative AI, Artificial Intelligence, Memory Management, Context Management, Model Evaluation, Application Programming Interface (API), Python Programming, Document Management, Application Deployment

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Agentic AI with LangChain and LangGraph

    Skills you'll gain: LangGraph, Agentic Workflows, AI Orchestration, AI Workflows, Generative AI Agents, Agentic systems, LangChain, LLM Application, Responsible AI, Retrieval-Augmented Generation, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Software Development, Python Programming, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    97 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Developing LLM Applications with LangChain

    Skills you'll gain: LangChain, LLM Application, Retrieval-Augmented Generation, LangGraph, AI Workflows, Large Language Modeling, AI Orchestration, Responsible AI, Generative AI, Token Optimization, Agentic systems, Prompt Engineering, Generative AI Agents, Natural Language Processing, Cloud Development, Application Programming Interface (API), Python Programming, Application Deployment, Data Processing, Pandas (Python Package)

    Intermediate · Course · 1 - 4 Weeks

  • S

    Scrimba

    AI Engineering

    Skills you'll gain: Model Context Protocol, Prompt Engineering, Retrieval-Augmented Generation, LangChain, OpenAI API, Prompt Patterns, Embeddings, Image Analysis, Responsible AI, AI Workflows, OpenAI, LLM Application, AI Integrations, Cloud Deployment, Cloud Applications, Multimodal Prompts, Memory Management, Hugging Face, Vector Databases, Software Engineering

    4.5
    Rating, 4.5 out of 5 stars
    ·
    360 reviews

    Intermediate · Specialization · 3 - 6 Months

  • W

    Whizlabs

    Getting Started with Amazon Bedrock

    Skills you'll gain: Amazon Bedrock, Responsible AI, Retrieval-Augmented Generation, AI Orchestration, Amazon Web Services, AI Workflows, Agentic Workflows, Generative AI, AI Security, Generative AI Agents, Model Evaluation, Automation, Systems Integration

    Intermediate · Course · 1 - 4 Weeks

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

  • Prompt Compression and Query Optimization: DeepLearning.AI
  • Building GenAI Applications and Agents: Coursera
  • Retrieval Optimization: Tokenization to Vector Quantization: DeepLearning.AI
  • Applied Generative AI & NLP with Python: Packt
  • Generative AI and LLMs on Databricks: Pragmatic AI Labs
  • Securing Generative AI: Pearson
  • Learn Markdown: Scrimba
  • Develop Intelligent AI Agents with OpenAI: Edureka
  • Agentic AI with LangChain and LangGraph: IBM
  • Developing LLM Applications with LangChain: Edureka

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