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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

    Harnessing Ollama – Create Local LLMs with Python

    Skills you'll gain: LLM Application, Tool Calling, Large Language Modeling, Retrieval-Augmented Generation, Command-Line Interface, Embeddings, Python Programming, Application Development, Vector Databases, User Interface (UI), Software Installation, Restful API, Development Environment

    ★ 4 (6) · Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Generative AI, LLMs, and Advanced Applications with Python

    Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Large Language Modeling, Generative Adversarial Networks (GANs), Fine-tuning, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Hugging Face, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Applied Machine Learning, Application Programming Interface (API), Model Evaluation

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Leveraging Llama2 for Advanced AI Solutions

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Fine-tuning, LangChain, Model Optimization, Hugging Face, Technical Management, Analysis, Design

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    REST Assured Fundamentals

    Skills you'll gain: API Testing, Test Script Development, Test Automation, Test Tools, Performance Testing, Java Programming

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Working with large language models using Azure

    Skills you'll gain: Fine-tuning, ChatGPT, Generative Model Architectures, Cloud Deployment, AI Workflows, Application Performance Management, Semantic Web

    Intermediate · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Mastering DeepSeek: From Architecture to Application

    Skills you'll gain: DeepSeek API, Deepseek, Retrieval-Augmented Generation, AI Integrations, Model Deployment, Fine-tuning, Make.com, Generative Model Architectures, Generative AI Agents, LLM Application, Cloud Deployment, Model Training, Embeddings, Software Documentation, Key Management

    Beginner · Course · 1 - 3 Months

  • S

    SAS

    Generative AI Using SAS

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Generative Model Architectures, LLM Application, Responsible AI, Data Synthesis, SAS (Software), Applied Machine Learning, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • W

    Whizlabs

    Azure AI & ML: Optimize Language Models for AI Applications

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Microsoft Azure, Prompt Engineering, Model Training, Cloud Deployment, Retrieval-Augmented Generation, Prompt Patterns, Prompt Engineering Tools, Model Evaluation, AI Workflows, Data Pipelines, Fine-tuning, Continuous Monitoring, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • S

    Starweaver

    GenAI Foundations and AI Agents Development

    Skills you'll gain: Generative AI Agents, CrewAI, AI Orchestration, Generative AI, Agentic Workflows, AI Workflows, Agentic systems, Prompt Patterns, Tool Calling, LLM Application, AI Integrations, Large Language Modeling, Model Deployment, Responsible AI, Retrieval-Augmented Generation, Application Deployment, Collaboration, Data Integration, Job Evaluation, Logical Reasoning

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Crea apps basadas en IA generativa en Google Cloud

    Skills you'll gain: LLM Application, Google Gemini, Retrieval-Augmented Generation, Generative AI, Prompt Engineering, Prompt Patterns, Google Cloud Platform, Large Language Modeling, Prompt Engineering Tools, Application Deployment, Solution Architecture

    Intermediate · Course · 1 - 3 Months

  • W

    Whizlabs

    Prompt Engineering Generative AI & LLM Models Fundamentals

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Prompt Patterns, Fine-tuning, Generative AI, Generative Model Architectures, LLM Application, Retrieval-Augmented Generation, Model Training, Natural Language Processing, Model Evaluation, Data Cleansing, Model Optimization

    Intermediate · Course · 1 - 4 Weeks

  • L

    LearnKartS

    AWS Tools and Services for AI

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, Retrieval-Augmented Generation, Prompt Engineering Tools, Generative AI, Multimodal Prompts, Model Evaluation, Model Optimization, Generative Model Architectures, LLM Application, Amazon Web Services, Embeddings, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

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

  • Harnessing Ollama – Create Local LLMs with Python: Packt
  • Generative AI, LLMs, and Advanced Applications with Python: Packt
  • Leveraging Llama2 for Advanced AI Solutions: Coursera
  • REST Assured Fundamentals: Packt
  • Working with large language models using Azure: Microsoft
  • Mastering DeepSeek: From Architecture to Application: Board Infinity
  • Generative AI Using SAS: SAS
  • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
  • GenAI Foundations and AI Agents Development: Starweaver
  • Crea apps basadas en IA generativa en Google Cloud: Google Cloud

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