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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


  • 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

    Practical Multi AI Agents and Advanced Use Cases with crewAI

    Skills you'll gain: CrewAI, AI Workflows, Agentic Workflows, AI Orchestration, LLM Application, Large Language Modeling, Generative AI Agents, Process Modeling, Tool Calling, Agentic systems, Application Deployment, Enterprise Application Management, Program Development, Development Environment, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    23 reviews

    Beginner · 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
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Create Generative AI Apps on Google Cloud

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Generative AI, Google Gemini, Prompt Engineering Tools, Multimodal Prompts, Large Language Modeling, Application Deployment

    3.9
    Rating, 3.9 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Getting Started with Mistral

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, Tool Calling, LLM Application, JSON, Large Language Modeling, Artificial Intelligence

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Beginner · Project · Less Than 2 Hours

  • B

    Board Infinity

    Building Applications with DeepSeek

    Skills you'll gain: DeepSeek API, Deepseek, User Interface (UI), LLM Application, AI Workflows, AI Integrations, Human Computer Interaction, Agentic Workflows, Retrieval-Augmented Generation, AI Product Strategy, Embeddings, Application Deployment, Case Studies

    4
    Rating, 4 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Generative AI Architecture and Application Development

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Generative Model Architectures, Generative AI, Fine-tuning, Model Evaluation, Responsible AI, Information Privacy

    3.7
    Rating, 3.7 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Open Generative AI: Build with Open Models and Tools

    Skills you'll gain: Generative AI Agents, Model Context Protocol, Retrieval-Augmented Generation, Generative Model Architectures, Fine-tuning, Model Deployment, Responsible AI, Load Balancing, Large Language Modeling, Containerization, AI Security, Docker (Software), Model Optimization, Agentic Workflows, Generative AI, Model Evaluation, Agentic systems, LangChain, Data Ethics, Image Quality

    Intermediate · Professional Certificate · 3 - 6 Months

  • P

    Pragmatic AI Labs

    Enterprise AI and Data Engineering with Databricks

    Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    Duke University

    End to End LLMs with Azure

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Model Deployment, Microsoft Azure, OpenAI API, Large Language Modeling, OpenAI, Application Deployment, Embeddings, Application Programming Interface (API)

    2.5
    Rating, 2.5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    Simplilearn

    Advanced Prompt Engineering Course

    Skills you'll gain: Prompt Patterns, Prompt Engineering Tools, LangChain, Retrieval-Augmented Generation, Generative AI, AI Workflows, LLM Application, Large Language Modeling, OpenAI API, Data Synthesis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Google Cloud에서 생성형 AI 앱 만들기

    Skills you'll gain: Prompt Engineering, LLM Application, Google Gemini, Prompt Patterns, Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Google Cloud Platform, Embeddings, Model Optimization

    Intermediate · Course · 1 - 3 Months

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

  • Building Idiomatic Rust with Traits and Collections: Packt
  • Practical Multi AI Agents and Advanced Use Cases with crewAI: DeepLearning.AI
  • Building AI Applications with Haystack: DeepLearning.AI
  • Create Generative AI Apps on Google Cloud: Google Cloud
  • Getting Started with Mistral: DeepLearning.AI
  • Building Applications with DeepSeek: Board Infinity
  • Generative AI Architecture and Application Development: Edureka
  • Open Generative AI: Build with Open Models and Tools: Coursera
  • Enterprise AI and Data Engineering with Databricks: Pragmatic AI Labs
  • End to End LLMs with Azure: Duke University

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