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
Status: NewStatus: Free TrialSkills you'll gain: Vector Databases, Technical Communication, Technical Writing, Artificial Intelligence and Machine Learning (AI/ML), Retrieval-Augmented Generation, Applied Machine Learning, Artificial Intelligence
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Prompt Patterns, Generative AI, Large Language Modeling, Multimodal Prompts, Google Cloud Platform, Model Deployment
Status: NewStatus: Free TrialPragmatic AI Labs
Skills you'll gain: Retrieval-Augmented Generation, Rust (Programming Language), Vector Databases, Query Languages, Relational Databases, Database Design, Graph Theory, Command-Line Interface, Network Routing, Embeddings, Data Storage, Data Validation, Algorithms
Skills you'll gain: Retrieval-Augmented Generation, Generative AI, LLM Application, Prompt Engineering, Prompt Engineering Tools, Large Language Modeling, Google Cloud Platform
Status: Free TrialGoogle Cloud
Skills you'll gain: Embeddings, Vector Databases, Retrieval-Augmented Generation, Generative AI Agents, AI literacy, Google Cloud Platform, Natural Language Processing, Agentic systems
Google Cloud
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Google Gemini, Generative AI, Large Language Modeling, Embeddings, Google Cloud Platform
Google Cloud
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Google Gemini, LLM Application, Generative AI, Generative Model Architectures, Prompt Engineering Tools, Large Language Modeling, Google Cloud Platform, Model Deployment
Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Generative AI, AI literacy, LLM Application, Generative AI Agents
Status: NewStatus: PreviewSkills you'll gain: MLOps (Machine Learning Operations), Generative AI, Model Deployment, Generative Model Architectures, Generative AI Agents, Prompt Engineering, CrewAI, OpenAI, Responsible AI, LangGraph, Enterprise Architecture, Agentic Workflows, AI Security, Model Training, Feature Engineering, Model Evaluation, Agentic systems, Containerization
Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Artificial Intelligence, Generative AI, Generative AI Agents, Natural Language Processing, Google Cloud Platform
Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Generative AI Agents, Generative AI, Artificial Intelligence, Google Cloud Platform
In summary, here are 10 of our most popular rag courses
- Building Generative AI Apps with Llama: Meta
- Launching Your Vector Database Career: Coursera
- Auf generativer KI basierende Anwendungen in Google Cloud entwickeln: Google Cloud
- HelixDB From Zero: Pragmatic AI Labs
- Créer des applications d'IA générative sur Google Cloud: Google Cloud
- Vector Search ve Yerleştirmeler: Google Cloud
- 在 Google Cloud 上创建生成式 AI 应用: Google Cloud
- 在 Google Cloud 打造生成式 AI 應用程式: Google Cloud
- Recherche vectorielle et embeddings: Google Cloud
- The AI Lifecycle with the H2O.ai Platform: H2O.ai
