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
Duke University
Skills you'll gain: Rust (Programming Language), Unit Testing, Test Case, Memory Management, Software Testing, Data Structures, GitHub, Programming Principles, Package and Software Management, Development Environment, System Programming, Software Documentation
Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Generative AI, Gemini, Google Gemini, Large Language Modeling, AI Workflows, Data Pipelines, Google Cloud Platform
Google Cloud
Skills you'll gain: Generative AI, Google Gemini, Retrieval-Augmented Generation, Embeddings, Vector Databases, Large Language Modeling, LLM Application, Google Cloud Platform
Skills you'll gain: Retrieval-Augmented Generation, Gemini, Google Gemini, Generative AI, Vector Databases, Embeddings, AI Workflows
Starweaver
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, AI Personalization, Data Engineering, Context Engineering, AI Orchestration, System Monitoring, Generative AI, Data Processing, AI Workflows, Extract, Transform, Load, Scalability, Large Language Modeling, Data Architecture, Data Pipelines, Embeddings, Continuous Monitoring, Talent Pipelining, Process Optimization, Engineering
Coursera
Skills you'll gain: Retrieval-Augmented Generation, Generative AI, LangChain, LLM Application, Large Language Modeling, Embeddings, Vector Databases, AI Orchestration, Model Evaluation
Edureka
Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, LangChain, Performance Tuning, Application Deployment, AI Workflows, AI Integrations, Generative AI, LLM Application, LangGraph, Embeddings, Large Language Modeling, Context Management, Performance Testing, Vector Databases, Data Preprocessing, Scalability, Model Evaluation, Continuous Monitoring
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, LangChain, LLM Application, Embeddings, Application Frameworks, Vision Transformer (ViT), Data Quality
Skills you'll gain: Retrieval-Augmented Generation, Generative AI, Vector Databases, Gemini, Embeddings, Google Gemini, Large Language Modeling, Google Cloud Platform
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Generative AI, Google Gemini, Gemini, Google Cloud Platform
Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Gemini, Embeddings, Google Gemini, Vector Databases, Large Language Modeling, AI Workflows, Google Cloud Platform
Skills you'll gain: Retrieval-Augmented Generation, Generative AI, Gemini, Google Gemini, Vector Databases, Embeddings, Data Pipelines, Google Cloud Platform
In summary, here are 10 of our most popular rag courses
- Rust Fundamentals: Duke University
- BigQuery로 임베딩, 벡터 검색, RAG 만들기: Google Cloud
- 運用 BigQuery 建立嵌入項目、向量搜尋和 RAG: Google Cloud
- Criar embeddings, pesquisa vetorial e RAG com o BigQuery: Google Cloud
- GenAI Data Engineering and RAG Systems: Starweaver
- Boost RAG with Chroma: Coursera
- RAG Systems in Practice: Edureka
- Preprocessing Unstructured Data for LLMs and RAG Systems: Packt
- Einbettungen, Vektorsuche und RAG mit BigQuery erstellen: Google Cloud
- Membuat Sematan, Pencarian Vektor, & RAG dengan BigQuery: Google Cloud
