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
Vanderbilt University
Coursera
DeepLearning.AI
In summary, here are 10 of our most popular rag courses
- Build RAG Applications: Get Started: IBM
- Vector Databases for RAG: An Introduction: IBM
- Advanced Prompt Engineering for Everyone: Vanderbilt University
- Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases: Scrimba
- Create Embeddings, Vector Search, and RAG with BigQuery: Google Cloud
- Advanced RAG Patterns: Coursera
- AI Enhancement with Knowledge Graphs - Mastering RAG Systems: Packt
- Multimodal Retrieval Augmented Generation (RAG) using the Vertex AI Gemini API: Google Cloud
- Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG: Packt
- Preprocessing Unstructured Data for LLM Applications: DeepLearning.AI
