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
Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Big Data, Google Gemini, Data Processing, Identity and Access Management, Google Cloud Platform, LLM Application
Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, Large Language Modeling, PostgreSQL, Database Systems, User Interface (UI), Prompt Patterns, Human Computer Interaction, UI Components, User Interface (UI) Design, Artificial Intelligence, Cloud Computing
Status: Free TrialSkills you'll gain: Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Embeddings, Agentic systems, Application Development, Data Pipelines, Data Integration, Development Environment
Status: FreeDeepLearning.AI
Skills you'll gain: Retrieval-Augmented Generation, Unstructured Data, LLM Application, Data Preprocessing, Metadata Management, JSON, Image Analysis, Data Transformation, Document Management, Vision Transformer (ViT)
Status: FreeDeepLearning.AI
Skills you'll gain: Full-Stack Web Development, Retrieval-Augmented Generation, Web Applications, JavaScript Frameworks, React.js, LLM Application, Web Development, Javascript, Tool Calling, Generative AI Agents, Data Persistence, Query Languages
Status: FreeDeepLearning.AI
Skills you'll gain: Embeddings, Retrieval-Augmented Generation, Large Language Modeling, Semantic Web, Vector Databases, Natural Language Processing
Status: NewStatus: Free TrialSkills you'll gain: Retrieval-Augmented Generation, OpenAI API, Context Management, User Interface (UI), Vector Databases, Debugging
Status: Free TrialSkills you'll gain: Retrieval-Augmented Generation, Development Environment, Multimodal Prompts, Embeddings, User Interface (UI), Generative AI, LLM Application, AI Personalization, Image Analysis, Vector Databases
Skills you'll gain: Retrieval-Augmented Generation, Gemini, Generative AI, Vector Databases, Embeddings
Status: FreeDeepLearning.AI
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Anomaly Detection, Embeddings, LLM Application, Generative AI, Semantic Web, Application Design, Natural Language Processing, Image Analysis, AI Personalization
Status: FreeDeepLearning.AI
Skills you'll gain: Embeddings, Retrieval-Augmented Generation, Vector Databases, Text Mining, Large Language Modeling, Performance Tuning
Status: NewStatus: Free TrialSkills you'll gain: Retrieval-Augmented Generation, Vector Databases, Generative AI, Performance Tuning, Data Migration, LangChain, LLM Application, Data Infrastructure, Large Language Modeling, Query Languages, Prompt Patterns, Embeddings, Agentic systems, Data Integrity, Scalability, Docker (Software), AI Workflows, Performance Testing, Metadata Management, Data Modeling
In summary, here are 10 of our most popular rag courses
- Create a RAG Application with BigQuery: Google Cloud
- Build an LLM and RAG-based Chat Application using AlloyDB and LangChain: Google Cloud
- Gen AI - RAG Application Development using LlamaIndex: Packt
- Preprocessing Unstructured Data for LLM Applications: DeepLearning.AI
- JavaScript RAG Web Apps with LlamaIndex: DeepLearning.AI
- Embedding Models: From Architecture to Implementation: DeepLearning.AI
- Advanced Prompt Engineering and Memory Management: Packt
- Multimodal RAG with GPT – Build Smarter Search & AI Systems: Packt
- Criar embeddings, pesquisa vetorial e RAG com o BigQuery: Google Cloud
- Building Applications with Vector Databases: DeepLearning.AI
