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
Status: PreviewStatus: AI skillsDeepLearning.AI
Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Prompt Engineering, Vector Databases, Embeddings, System Monitoring, Application Security, Fine-tuning, Artificial Intelligence, Model Evaluation
Status: Free TrialSkills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, Retrieval-Augmented Generation, LLM Application, Prompt Patterns, Tool Calling, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI Agents, Generative AI, AI Security, Vector Databases, AI Integrations, OpenAI API, Software Development
Status: Free TrialSkills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, LLM Application, Generative AI Agents, Large Language Modeling, Generative AI, Tool Calling, Hugging Face, Context Engineering, Embeddings
Status: Free TrialSkills you'll gain: Prompt Engineering, LangChain, Retrieval-Augmented Generation, Prompt Patterns, LLM Application, Generative AI, Vector Databases, Generative AI Agents, Tool Calling, Large Language Modeling, Embeddings, AI Workflows, Model Deployment, User Interface (UI), AI Integrations, UI Components, Database Systems, Model Evaluation, Databases, Data Storage Technologies
Status: Free TrialSkills you'll gain: Vector Databases, LLM Application, Retrieval-Augmented Generation, Generative AI, Embeddings, Document Management, Fine-tuning, User Interface (UI)
Status: Free TrialSkills you'll gain: LangChain, Prompt Engineering, LLM Application, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, Tool Calling, Embeddings, OpenAI API, ChatGPT, Google Gemini, AI Workflows, Generative AI Agents, Token Optimization, Agentic Workflows
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Retrieval-Augmented Generation, Vector Databases, LLM Application, User Interface (UI), Embeddings, Large Language Modeling, UI Components, Performance Tuning
Status: Free TrialSkills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Model Optimization, Keras (Neural Network Library), Supervised Learning, LLM Application, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
Status: FreeDeepLearning.AI
Skills you'll gain: Retrieval-Augmented Generation, Multimodal Prompts, LLM Application, Embeddings, Large Language Modeling, Generative AI, Vector Databases, Image Analysis, Applied Machine Learning
Status: Free TrialSkills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, LLM Application, Keras (Neural Network Library), Vector Databases, Fine-tuning, Data Import/Export
Duke University
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Large Language Modeling, Data Processing, Data Management, Python Programming, Machine Learning
Status: NewSkills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI Agents, LangGraph, Generative AI, LangChain, Agentic Workflows, Multimodal Prompts, LLM Application, UI Components, AI Security, Vector Databases, Large Language Modeling, Application Security, User Interface (UI) Design, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Embeddings, Python Programming
In summary, here are 10 of our most popular rag courses
- Retrieval Augmented Generation (RAG): DeepLearning.AI
- IBM RAG and Agentic AI: IBM
- Fundamentals of AI Agents Using RAG and LangChain: IBM
- RAG for Generative AI Applications: IBM
- Project: Generative AI Applications with RAG and LangChain: IBM
- Introduction to Retrieval Augmented Generation (RAG): Coursera
- Advanced RAG with Vector Databases and Retrievers: IBM
- IBM AI Engineering: IBM
- Building Multimodal Search and RAG: DeepLearning.AI
- IBM Generative AI Engineering: IBM
