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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


  • H

    H2O.ai

    H2O Generative AI Starter Track

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Generative AI Agents, AI Integrations, Document Management, LLM Application, Agentic Workflows, AI Workflows, Application Programming Interface (API), Agentic systems, System Configuration, Configuration Management

    Intermediate · Course · 1 - 3 Months

  • H

    H2O.ai

    H2O GPTe Learning Path

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Generative AI Agents, Agentic Workflows, Document Management, Generative AI, Web Applications, Artificial Intelligence, Data Processing, Agentic systems, Application Programming Interface (API), Process Optimization, Automation

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Generative AI with Python

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Agentic systems, Fine-tuning, Agentic Workflows, AI Workflows, CrewAI, Embeddings, Model Optimization, Model Context Protocol, Software Installation

    Intermediate · Course · 3 - 6 Months

  • C

    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

  • C

    Coursera

    Create Chatbots & NLP Apps

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Natural Language Processing, Text Mining, Data-Driven Decision-Making, Usability Testing, Embeddings, Usability, Unstructured Data, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Build Real world End-to-End AI Agents using AWS Bedrock

    Skills you'll gain: Retrieval-Augmented Generation, AI Orchestration, Agentic Workflows, AI Workflows, Model Deployment, Cloud Deployment, Tool Calling, Vector Databases

    Intermediate · Course · 1 - 3 Months

  • W

    Whizlabs

    Generative AI for Azure Cloud Engineers

    Skills you'll gain: Responsible AI, Retrieval-Augmented Generation, Generative AI, Generative AI Agents, Microsoft Copilot, Generative Model Architectures, Microsoft Azure, OpenAI API, Fine-tuning, Model Optimization, Prompt Engineering, AI Security, OpenAI, Model Deployment, Microsoft Power Platform, LLM Application, AI Integrations

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Analyze & Deploy Scalable LLM Architectures

    Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, Kubernetes, Containerization, LLM Application, Cloud-Native Computing, Application Deployment, Large Language Modeling, Release Management, MLOps (Machine Learning Operations), Configuration Management, Continuous Delivery, Scalability, Application Performance Management, Performance Tuning, Performance Analysis, Systems Analysis, Analysis, Data-Driven Decision-Making

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Auf generativer KI basierende Anwendungen in Google Cloud entwickeln

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

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Build AI Apps with Spring AI, OpenAI, Ollama & SpringBoot

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Tool Calling, Large Language Modeling, OpenAI API, LLM Application, Multimodal Prompts, OpenAI, GitHub Copilot, Spring Framework, AI Integrations, Generative AI, Image Analysis, Embeddings, Spring Boot, Vector Databases, Real Time Data

    Intermediate · Course · 3 - 6 Months

  • G

    Google Cloud

    Créer des applications d'IA générative sur Google Cloud

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

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Getting Started with Vector Databases and AI Embeddings

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

    Beginner · Course · 1 - 3 Months

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

  • H2O Generative AI Starter Track: H2O.ai
  • H2O GPTe Learning Path: H2O.ai
  • Generative AI with Python: Packt
  • Master ANN Search: Coursera
  • Create Chatbots & NLP Apps: Coursera
  • Build Real world End-to-End AI Agents using AWS Bedrock: Packt
  • Generative AI for Azure Cloud Engineers: Whizlabs
  • Analyze & Deploy Scalable LLM Architectures: Coursera
  • Auf generativer KI basierende Anwendungen in Google Cloud entwickeln: Google Cloud
  • Build AI Apps with Spring AI, OpenAI, Ollama & SpringBoot: Packt

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