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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


  • 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 (222) · Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    RESTful API with Rust: Build a Game Map Server

    Skills you'll gain: Scalability, Restful API, Rust (Programming Language), Application Programming Interface (API), Build Tools, Package and Software Management, OS Process Management, Video Game Development, Web Development, Program Development, Programming Principles, Servers, TCP/IP

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    벡터 검색 및 임베딩

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

    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 (95) · Intermediate · Course · 1 - 4 Weeks

  • 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, Agentic Workflows, Generative Model Architectures, AI literacy, LLM Application, ChatGPT, AI Workflows, Large Language Modeling, Model Evaluation, Responsible AI, Decision Making

    ★ 4.8 (103) · Beginner · Course · 1 - 3 Months

  • B

    Board Infinity

    Mastering DeepSeek.ai: From Fundamentals to Advanced Skills

    Skills you'll gain: Make.com, Email Automation, DeepSeek API, Deepseek, Workflow Management, Agentic Workflows, AI Workflows, No-Code Development, User Interface (UI), LLM Application, AI Integrations, Human Computer Interaction, Generative AI Agents, Large Language Modeling, Retrieval-Augmented Generation, Automation, Application Programming Interface (API), Natural Language Processing, Prompt Engineering, Debugging

    ★ 4.1 (59) · Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Building Idiomatic Rust with Traits and Collections

    Skills you'll gain: Rust (Programming Language), Data Structures, Code Reusability, Package and Software Management, Memory Management

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Vector Databases: from Embeddings to Applications

    Skills you'll gain: Vector Databases, Embeddings, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Algorithms, Semantic Web

    ★ 4.5 (11) · Intermediate · Project · Less Than 2 Hours

  • D

    DeepLearning.AI

    Building AI Applications with Haystack

    Skills you'll gain: AI Orchestration, LLM Application, AI Workflows, OpenAI API, Agentic Workflows, Tool Calling, Generative AI Agents, Retrieval-Augmented Generation, Agentic systems, Data Pipelines

    ★ 4.5 (14) · Intermediate · Project · Less Than 2 Hours

  • 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

  • P

    Packt

    Building and Fine-Tuning LLM Applications

    Skills you'll gain: Retrieval-Augmented Generation, AI Workflows, Fine-tuning, Model Deployment, Applied Machine Learning, Application Deployment, API Testing, Model Optimization

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    Vector Database Fundamentals

    Skills you'll gain: Vector Databases, Hugging Face, MongoDB, Embeddings, NoSQL, AI Personalization, Artificial Intelligence, PostgreSQL, Relational Databases, Database Management Systems, Generative AI, Operational Databases, SQL, Databases, Database Systems, LLM Application, Query Languages, Applied Machine Learning, Machine Learning, Data Science

    ★ 4.6 (74) · Intermediate · Specialization · 1 - 3 Months

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

  • Building GenAI Applications and Agents: Coursera
  • RESTful API with Rust: Build a Game Map Server: Coursera
  • 벡터 검색 및 임베딩: Google Cloud
  • Agentic AI with LangChain and LangGraph: IBM
  • Generative and Agentic AI: Saïd Business School, University of Oxford
  • Mastering DeepSeek.ai: From Fundamentals to Advanced Skills: Board Infinity
  • Building Idiomatic Rust with Traits and Collections: Packt
  • Vector Databases: from Embeddings to Applications: DeepLearning.AI
  • Building AI Applications with Haystack: DeepLearning.AI
  • Develop Intelligent AI Agents with OpenAI: Edureka

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