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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: Free
    Free
    D

    DeepLearning.AI

    JavaScript RAG Web Apps with LlamaIndex

    Skills you'll gain: Full-Stack Web Development, Retrieval-Augmented Generation, Web Applications, JavaScript Frameworks, React.js, LLM Application, Web Development, Javascript, Tool Calling, Agentic Workflows, Generative AI Agents, Data Persistence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    16 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Building RAG and MCP Servers with Claude

    Skills you'll gain: Retrieval-Augmented Generation, Model Context Protocol, Agentic Workflows, Agentic systems, Generative AI Agents, Anthropic Claude, AI Integrations, Tool Calling, LLM Application, Generative AI, Automation, Scalability, Application Programming Interface (API), Servers, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Embedding Models: From Architecture to Implementation

    Skills you'll gain: Embeddings, Retrieval-Augmented Generation, Model Training, Large Language Modeling, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free
    Free
    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

  • Status: Free
    Free
    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

    Gen AI - RAG Application Development using LangChain

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Tool Calling, Generative AI Agents, Agentic Workflows, Document Management, Query Languages, Agentic systems

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    Generative AI Engineering with OpenAI API and AWS Models

    Skills you'll gain: OpenAI API, Amazon Bedrock, OpenAI, Multimodal Prompts, Generative AI, AWS SageMaker, Generative AI Agents, LLM Application, Responsible AI, Retrieval-Augmented Generation, Prompt Engineering, Amazon Web Services, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Embeddings, Cyber Governance, Vector Databases, Data Ethics, Natural Language Processing

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    B

    Board Infinity

    Building AI Research Agents: LangChain, RAG, and LangGraph

    Skills you'll gain: AI Workflows, Retrieval-Augmented Generation, LLM Application, Tool Calling, AI Orchestration, Prompt Engineering, Generative AI Agents, Large Language Modeling, Agentic systems

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    W

    Whizlabs

    Microsoft Foundry Essentials: RAG, Fine-Tuning and AI Agents

    Skills you'll gain: Retrieval-Augmented Generation, Generative AI Agents, Model Deployment, Generative AI, Agentic Workflows, Microsoft Azure, AI Workflows, Model Evaluation, Model Training, Fine-tuning, Microsoft Development Tools, MLOps (Machine Learning Operations), AI Integrations, Large Language Modeling, Model Optimization, Agentic systems

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    AWS GenAI: RAG, AI Agents and Responsible AI

    Skills you'll gain: Prompt Engineering, Responsible AI, Amazon Bedrock, Retrieval-Augmented Generation, Multimodal Prompts, Generative AI, AWS SageMaker, Generative AI Agents, LLM Application, Vector Databases, Amazon Web Services, Large Language Modeling, Agentic Workflows, Human Centered Design, Agentic systems, Embeddings, Data Ethics, Data Governance, Natural Language Processing, Benchmarking

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    B

    Board Infinity

    AI App Development: Streamlit, OpenAI API & RAG Projects

    Skills you'll gain: Tool Calling, OpenAI, AI Workflows, LLM Application, AI Integrations, Agentic Workflows, Retrieval-Augmented Generation, AI Orchestration, Generative AI Agents, Multimodal Prompts, Interactive Data Visualization, Prompt Engineering, Application Deployment, Cloud Deployment, Large Language Modeling, Image Analysis, Embeddings, Python Programming, JSON

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Agentic AI Architectures with Patterns, Frameworks and MCP

    Skills you'll gain: Agentic Workflows, AI Orchestration, Model Context Protocol, Generative AI Agents, Agentic systems, Context Engineering, Prompt Engineering, LLM Application, LangChain, ChatGPT, Tool Calling, AI Integrations, Retrieval-Augmented Generation, Context Management, Software Architecture, Deep Learning, Interoperability, Software Design Patterns

    Intermediate · Course · 3 - 6 Months

1…567…22

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

  • JavaScript RAG Web Apps with LlamaIndex: DeepLearning.AI
  • Building RAG and MCP Servers with Claude: Edureka
  • Embedding Models: From Architecture to Implementation: DeepLearning.AI
  • Prompt Compression and Query Optimization: DeepLearning.AI
  • Retrieval Optimization: Tokenization to Vector Quantization: DeepLearning.AI
  • Gen AI - RAG Application Development using LangChain: Packt
  • Generative AI Engineering with OpenAI API and AWS Models: KodeKloud
  • Building AI Research Agents: LangChain, RAG, and LangGraph: Board Infinity
  • Microsoft Foundry Essentials: RAG, Fine-Tuning and AI Agents: Whizlabs
  • AWS GenAI: RAG, AI Agents and Responsible AI: KodeKloud

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