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.

DeepLearning.AI
Skills you'll gain: Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Embeddings, Prompt Engineering, Query Languages, Vector Databases, Data Storage, Unstructured Data, Graph Theory
Intermediate · Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Agentic Workflows, Tool Calling, Generative AI Agents, Retrieval-Augmented Generation, LLM Application, Agentic systems, Debugging, General Science and Research, Document Management
Beginner · Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, Large Language Modeling, Embeddings, Data Processing, Data Store, Data Access, Vector Databases, Prompt Engineering, Document Management
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), LangChain, AI Orchestration, Natural Language Processing, Generative AI Agents, Agentic Workflows, Multimodal Prompts, AI Integrations, Artificial Intelligence, Agentic systems, Machine Learning Methods, Python Programming, Machine Learning, System Design and Implementation, Data Science
Intermediate · Specialization · 1 - 3 Months

Board Infinity
Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, Generative AI Agents, AI Workflows, Prompt Engineering, Embeddings, Token Optimization, Context Management, Document Management, Unstructured Data, Database Management Systems, Metadata Management, Model Evaluation, Data Wrangling, Machine Learning
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Data Flow Diagrams (DFDs), Prompt Engineering, AI Integrations, Generative AI, Embeddings, Diagram Design, Large Language Modeling, Vector Databases, Data Pipelines, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Retrieval-Augmented Generation, Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, Fine-tuning, Model Evaluation, Context Engineering, LangChain, Token Optimization, Large Language Modeling, Hugging Face, Transfer Learning, Model Optimization, Model Deployment, Generative AI, LangGraph, Context Management, Vector Databases
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, LLM Application, Development Environment, Prompt Patterns, Multimodal Prompts, Tool Calling, Embeddings, Generative AI Agents, Vector Databases, User Interface (UI), OpenAI API, Generative AI, AI Workflows, Program Development, Prompt Engineering, Agentic systems, Plot (Graphics), AI Integrations, Augmented Reality
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Retrieval-Augmented Generation, Model Context Protocol, Agentic Workflows, Prompt Engineering, Anthropic Claude, Application Programming Interface (API), Prompt Patterns, Prompt Engineering Tools, LLM Application, JSON, AI Integrations, Generative AI Agents, AI literacy, Tool Calling, Generative AI, Scripting, Token Optimization, Document Management, Context Engineering, Agentic systems
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Google Gemini, Vector Databases, Generative AI, LLM Application, AI Integrations, AI Workflows, Google Cloud Platform
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Patterns, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Reinforcement Learning, Transfer Learning, Data Pipelines
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Prompt Patterns, AI Workflows, Prompt Engineering, Large Language Modeling, Model Deployment, Embeddings, Vector Databases, Data Processing, Document Management
Intermediate · Course · 1 - 4 Weeks