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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


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    Pragmatic AI Labs

    AWS Generative AI and Foundation Models

    Skills you'll gain: Amazon Bedrock, Token Optimization, Generative AI, AWS SageMaker, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, AI literacy, Amazon Web Services, Amazon Elastic Compute Cloud, No-Code Development, AI Integrations, Model Deployment, Model Optimization, Technology Solutions, Rust (Programming Language), Package and Software Management

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Master ANN Search

    Skills you'll gain: Vector Databases, Embeddings, Retrieval-Augmented Generation, Model Optimization, Data Ethics, Responsible AI, Model Evaluation, Performance Tuning, Performance Testing

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Getting Started with Vector Databases and AI Embeddings

    Skills you'll gain: Vector Databases, Embeddings, AI Integrations, AI Workflows, Generative AI, Artificial Intelligence, Data Storage, Databases, Retrieval-Augmented Generation, Scalability, Anomaly Detection, Unstructured Data

    Beginner · Course · 1 - 3 Months

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    STARWEAVER

    Automating Cybersecurity Operations with AI

    Skills you'll gain: ChatGPT, Application Programming Interface (API), Incident Management, Prompt Engineering, Python Programming, Security Awareness, API Design, Network Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Mastering NLP: Foundations, ML & LLMs

    Skills you'll gain: Large Language Modeling, Retrieval-Augmented Generation, LangChain, LLM Application, Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Embeddings, Deep Learning, Generative AI, Fine-tuning, Artificial Intelligence, Classification Algorithms, Machine Learning Methods, Data Preprocessing, Applied Machine Learning, Machine Learning, Model Optimization, Model Evaluation

    Intermediate · Course · 1 - 3 Months

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    Pragmatic AI Labs

    AWS Intelligent Applications with Amazon Bedrock

    Skills you'll gain: Amazon Bedrock, Amazon Web Services, Agentic Workflows, LLM Application, Anthropic Claude, Generative AI Agents, Agentic systems, Retrieval-Augmented Generation, Tool Calling, AI Integrations, Cloud Computing, Generative AI, Model Deployment, Prototyping, Bash (Scripting Language), Embeddings, Large Language Modeling, Restful API, Prompt Engineering, Rust (Programming Language)

    Beginner · Course · 1 - 4 Weeks

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    Pragmatic AI Labs

    Enterprise AIOps with Amazon Q Business

    Skills you'll gain: Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, AWS SageMaker, AI Workflows, Retrieval-Augmented Generation, Shell Script, IT Automation, Unix Shell, Command-Line Interface, AI Integrations, AI Security, Prototyping, Model Deployment, Large Language Modeling, Generative AI, Data Management

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Google Cloud での生成 AI アプリの作成

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

    Intermediate · Course · 1 - 3 Months

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    Whizlabs

    AWS: Generative AI Fundamentals

    Skills you'll gain: Amazon Bedrock, Retrieval-Augmented Generation, Large Language Modeling, Responsible AI, Generative AI, Generative Model Architectures, Generative AI Agents, Embeddings, Vector Databases, LLM Application, AI Enablement, AI Integrations, Enterprise Architecture, Governance, Model Deployment, Fine-tuning, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Advanced LLM Design: Retrieval, Context, and Prompts

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Model Evaluation, Embeddings, Context Management, Vector Databases, Artificial Intelligence, Scalability, Performance Metric, Machine Learning, Application Programming Interface (API), Continuous Improvement Process

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Chroma Database Mastery

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Applied Machine Learning, Metadata Management, LangChain, Document Management, Embeddings, LLM Application, Large Language Modeling, Data Management, Model Evaluation, AI Integrations, Data Pipelines, Application Programming Interface (API), Software Installation, Debugging

    Intermediate · Course · 1 - 3 Months

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    Whizlabs

    AWS: Generative AI & Bedrock

    Skills you'll gain: Amazon Bedrock, Retrieval-Augmented Generation, Generative AI, Responsible AI, Generative AI Agents, AI Integrations, Model Evaluation, Model Training, Amazon Web Services, LLM Application, Model Deployment, Large Language Modeling, Amazon S3

    Beginner · Course · 1 - 4 Weeks

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

  • AWS Generative AI and Foundation Models: Pragmatic AI Labs
  • Master ANN Search: Coursera
  • Getting Started with Vector Databases and AI Embeddings: Packt
  • Automating Cybersecurity Operations with AI: STARWEAVER
  • Mastering NLP: Foundations, ML & LLMs: Packt
  • AWS Intelligent Applications with Amazon Bedrock: Pragmatic AI Labs
  • Enterprise AIOps with Amazon Q Business: Pragmatic AI Labs
  • Google Cloud での生成 AI アプリの作成: Google Cloud
  • AWS: Generative AI Fundamentals: Whizlabs
  • Advanced LLM Design: Retrieval, Context, and Prompts: Packt

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