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
Skills you'll gain: API Testing, Test Automation, Test Script Development, Test Tools, Application Programming Interface (API), Restful API, Software Testing, Code Reusability, Configuration Management, Java Programming, Maintainability
Status: NewStatus: Free TrialEdureka
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
Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Google Gemini, Generative AI, Large Language Modeling, LLM Application, Responsible AI, Google Cloud Platform, Data Pipelines
Skills you'll gain: Retrieval-Augmented Generation, Generative AI, Vector Databases, Gemini, Embeddings, Google Gemini, Large Language Modeling, Google Cloud Platform
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: Retrieval-Augmented Generation, Embeddings, Vector Databases, Gemini, Google Gemini, Generative AI
Status: PreviewSkills 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
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Generative AI, Google Gemini, Gemini, 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
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, LangChain, LLM Application, Embeddings, Application Frameworks, Vision Transformer (ViT), Data Quality
In summary, here are 10 of our most popular rag courses
- Building API Test Automation Framework Using Rest Assured: Coursera
- RAG Systems in Practice: Edureka
- 使用 BigQuery 创建嵌入、向量搜索和 RAG: Google Cloud
- Einbettungen, Vektorsuche und RAG mit BigQuery erstellen: Google Cloud
- BigQuery로 임베딩, 벡터 검색, RAG 만들기: Google Cloud
- エンベディング作成、ベクトル検索、BigQuery での RAG: Google Cloud
- Crea embeddings, búsqueda de vectores y RAG con BigQuery: Google Cloud
- Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery: Google Cloud
- Membuat Sematan, Pencarian Vektor, & RAG dengan BigQuery: Google Cloud
- 運用 BigQuery 建立嵌入項目、向量搜尋和 RAG: Google Cloud
