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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


  • G

    Google Cloud

    Membuat Sematan, Pencarian Vektor, & RAG dengan BigQuery

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

    Advanced · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Test Accessibility of Your Design with WAVE

    Skills you'll gain: Web Content Accessibility Guidelines, Usability, Web Design, Information Architecture, Web Development Tools, Test Tools, Web Development, Customer Service

    4.4
    Rating, 4.4 out of 5 stars
    ·
    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    G

    Google Cloud

    Crea embeddings, búsqueda de vectores y RAG con BigQuery

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Gemini, Embeddings, Google Gemini, Vector Databases, Large Language Modeling, AI Workflows, Google Cloud Platform

    Advanced · Course · 1 - 4 Weeks

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

    Edureka

    CrewAI Tools, MCP, and Agentic RAG

    Skills you'll gain: CrewAI, AI Workflows, Model Context Protocol, Agentic Workflows, Generative AI Agents, Tool Calling, Role-Based Access Control (RBAC), Agentic systems, AI Security, Security Controls, AI Integrations, Build Tools, Retrieval-Augmented Generation, Authorization (Computing), Context Management, Generative AI, Application Programming Interface (API), Memory Management, Scalability, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    運用 BigQuery 建立嵌入項目、向量搜尋和 RAG

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

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Advance Multi-Agent Systems & Production AI with LangSmith

    Skills you'll gain: Retrieval-Augmented Generation, AI Workflows, LangChain, Model Context Protocol, Vector Databases, AI Orchestration, LLM Application, Tool Calling, Agentic Workflows, Generative AI Agents, Large Language Modeling, Agentic systems, Embeddings, Model Deployment, Artificial Intelligence, Context Management, Scalability, JSON, Debugging, System Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Saïd Business School, University of Oxford

    Generative and Agentic AI

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Agentic systems, Generative AI Agents, Prompt Patterns, Agentic Workflows, Generative Model Architectures, Multimodal Prompts, AI literacy, LLM Application, ChatGPT, AI Workflows, AI Product Strategy, Large Language Modeling, Model Evaluation, Responsible AI, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    137 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    エンベディング作成、ベクトル検索、BigQuery での RAG

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Gemini, Google Gemini, Generative AI

    Advanced · Course · 1 - 4 Weeks

  • 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

  • G

    Google Cloud

    Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery

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

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    使用 BigQuery 创建嵌入、向量搜索和 RAG

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Google Gemini, Generative AI, Large Language Modeling, LLM Application, Responsible AI, Google Cloud Platform, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Generative and Agentic AI Basics

    Skills you'll gain: Prompt Engineering, Generative AI, Agentic Workflows, AI Workflows, Generative AI Agents, AI Orchestration, Retrieval-Augmented Generation, Generative Model Architectures, Microsoft Azure, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), AI Security, LLM Application, Application Deployment, Responsible AI, ChatGPT, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Machine Learning

    3.7
    Rating, 3.7 out of 5 stars
    ·
    55 reviews

    Intermediate · Specialization · 3 - 6 Months

1…91011…22

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

  • Membuat Sematan, Pencarian Vektor, & RAG dengan BigQuery: Google Cloud
  • Test Accessibility of Your Design with WAVE: Coursera
  • Crea embeddings, búsqueda de vectores y RAG con BigQuery: Google Cloud
  • CrewAI Tools, MCP, and Agentic RAG: Edureka
  • 運用 BigQuery 建立嵌入項目、向量搜尋和 RAG: Google Cloud
  • Advance Multi-Agent Systems & Production AI with LangSmith: Board Infinity
  • Generative and Agentic AI: Saïd Business School, University of Oxford
  • エンベディング作成、ベクトル検索、BigQuery での RAG: Google Cloud
  • Retrieval Optimization: Tokenization to Vector Quantization: DeepLearning.AI
  • Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery: Google Cloud

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