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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


  • A

    Amazon Web Services

    DevOps and AI on AWS: Upgrading Apps with Generative AI

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, Responsible AI, Application Deployment, Amazon Elastic Compute Cloud, Unit Testing, Amazon Web Services, Version Control, Generative AI, AI Integrations, LLM Application, DevOps, Retrieval-Augmented Generation, Artificial Intelligence, Software Configuration Management, Application Lifecycle Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pragmatic AI Labs

    Large Language Models with Hugging Face

    Skills you'll gain: Prompt Engineering, Hugging Face, Agentic Workflows, Generative AI Agents

    Intermediate · Course · 1 - 4 Weeks

  • 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, Server Side, Web Development, Program Development, Programming Principles, TCP/IP

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free
    Free
    D

    DeepLearning.AI

    Building Multimodal Data Pipelines

    Skills you'll gain: Retrieval-Augmented Generation, Multimodal Prompts, Embeddings, Large Language Modeling, Generative AI, Data Processing, Data Pipelines, Image Analysis, Prompt Engineering, Unstructured Data, Natural Language Processing, Text Mining, Computer Vision, Vector Databases, Data Capture, Sampling (Statistics)

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    Generative AI Applications with Amazon Bedrock

    Skills you'll gain: Amazon Bedrock, Generative AI Agents, Retrieval-Augmented Generation, Prompt Engineering, Generative AI, AI Workflows, Agentic Workflows, LLM Application, Amazon Web Services, Context Management, Agentic systems

    4.6
    Rating, 4.6 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Developing Generative AI Solutions

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Fine-tuning, Performance Measurement, Performance Improvement, Business Analysis, Application Deployment, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    45 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Building Retrieval-Augmented Systems & Knowledge Graphs

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, LangChain, Artificial Intelligence and Machine Learning (AI/ML), Agentic Workflows, Generative AI Agents, AI Integrations, Artificial Intelligence, Large Language Modeling, Taxonomy, Agentic systems, Scalability, Python Programming, System Design and Implementation, Machine Learning, Graph Theory

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Vector Databases for Machine Learning: A Comprehensive Guide

    Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Generative AI Agents, Docker (Software), Agentic systems, Generative AI, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    Status: AI skills
    AI skills
    D

    DeepLearning.AI

    Fast Prototyping of GenAI Apps with Streamlit

    Skills you'll gain: Application Deployment, Cloud Deployment, Generative AI, Prompt Engineering, No-Code Development, Prototyping, Retrieval-Augmented Generation, AI Integrations, Application Development, User Interface (UI)

    3.9
    Rating, 3.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    The Complete LangChain & LLMs Guide

    Skills you'll gain: Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free
    Free
    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
    ·
    24 reviews

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Vector Search and Embeddings

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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • DevOps and AI on AWS: Upgrading Apps with Generative AI: Amazon Web Services
  • Large Language Models with Hugging Face: Pragmatic AI Labs
  • RESTful API with Rust: Build a Game Map Server: Coursera
  • Building Multimodal Data Pipelines: DeepLearning.AI
  • Generative AI Applications with Amazon Bedrock: Amazon Web Services
  • Developing Generative AI Solutions: Amazon Web Services
  • Building Retrieval-Augmented Systems & Knowledge Graphs: Packt
  • Vector Databases for Machine Learning: A Comprehensive Guide: Coursera
  • Fast Prototyping of GenAI Apps with Streamlit: DeepLearning.AI
  • The Complete LangChain & LLMs Guide: Packt

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