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: 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
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, Prompt Patterns, Token Optimization, Memory Management, Context Management, Document Management, Embeddings, User Interface (UI), Vector Databases, Debugging
Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Gemini, Google Gemini, Generative AI
Skills you'll gain: LangChain, Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, Model Evaluation, Large Language Modeling, CrewAI, OpenAI API, Generative AI Agents, LLM Application, Vector Databases, Agentic Workflows, Tool Calling, ChatGPT, Responsible AI, Token Optimization, Embeddings, OpenAI, Generative AI, Python Programming
Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Fine-tuning, Hugging Face, Generative AI, Model Optimization, OpenAI API, Natural Language Processing, Model Training, Large Language Modeling, Generative Model Architectures, LLM Application, Transfer Learning, Embeddings, Python Programming, Artificial Intelligence, Data Preprocessing
DeepLearning.AI
Skills you'll gain: Token Optimization, Embeddings, Retrieval-Augmented Generation, Vector Databases, Model Optimization, Large Language Modeling, Performance Tuning
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
DeepLearning.AI
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Prompt Engineering, MongoDB, Token Optimization, Operational Databases, Query Languages, Metadata Management, Performance Tuning, Embeddings, Large Language Modeling, Data Pipelines
In summary, here are 10 of our most popular rag courses
- Einbettungen, Vektorsuche und RAG mit BigQuery erstellen: Google Cloud
- Membuat Sematan, Pencarian Vektor, & RAG dengan BigQuery: 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
- 運用 BigQuery 建立嵌入項目、向量搜尋和 RAG: Google Cloud
- Advanced Prompt Engineering and Memory Management: Packt
- エンベディング作成、ベクトル検索、BigQuery での RAG: Google Cloud
- Building GenAI Applications and Agents: Coursera
- Applied Generative AI & NLP with Python: Packt
- Retrieval Optimization: Tokenization to Vector Quantization: DeepLearning.AI
