Retrieval Augmented Generation Courses and Certifications

Packt Microcredential

Retrieval Augmented Generation

14 ratings at Coursera

Master advanced RAG techniques including query expansion, re-ranking, and dense passage retrieval. Build applications with LlamaIndex, enhance AI with Knowledge Graphs, and create multimodal systems.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Packt

Master Retrieval-Augmented Generation (RAG) Systems

Master advanced RAG techniques including query expansion, re-ranking, and dense passage retrieval. Gain hands-on experience implementing these methods to enhance document retrieval and answer generation in real-world scenarios.

• Coursera
• 4 hours 48 minutes
• On-Demand
• Paid Course

Building and Evaluating Advanced RAG Applications

Master advanced RAG techniques with sentence-window and auto-merging retrieval methods, plus learn evaluation metrics to improve LLM performance with proprietary data.

• Independent
• 1 hour 55 minutes
• On-Demand
• Free Online Course

Explore watsonx.ai's Chat feature in Prompt Lab, learning to interact with LLMs, implement RAG use cases, chat with documents, and apply AI guardrails for content filtering.

• IBM Training
• 2 hours
• On-Demand
• Free Online Course

SK AI SUMMIT 2024

Retriever Strategies for RAG (Retrieval Augmented Generation)

Dive into effective Retriever strategies for RAG implementation in enterprise data, focusing on optimizing LLM performance and reducing hallucinations.

• YouTube
• 19 minutes
• On-Demand
• Free Video

AI Engineer

Building Production-Ready RAG Applications

Discover core techniques for evaluating and improving retrieval systems to build better performing RAG applications with LLMs on private data.

• YouTube
• 19 minutes
• On-Demand
• Free Video

Exploring a Corpus - From Paper to Multilingual Chatbots

Explore Genie, a system that transforms any text corpus into a browsable, searchable chatbot with high factual accuracy, demonstrated through Wikipedia, historical newspapers, and more.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Anyscale

Developing and Serving RAG-Based LLM Applications in Production

Learn to develop, evaluate, and scale RAG-based LLM applications for production, including advanced topics like hybrid routing to bridge the gap between open-source and closed LLMs.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Mervin Praison

GraphRAG: The Most Incredible RAG Strategy Revealed

Explore GraphRAG, an advanced retrieval-augmented generation system enhancing AI responses with relevant context. Learn implementation, setup, and advantages over traditional methods.

• YouTube
• 11 minutes
• On-Demand
• Free Video

Discover AI

RAG is Exploding: 58 New RAG Methods in 48 Hours - Hitchhiker's Guide to the RAG Galaxy

Explore the rapidly evolving world of Retrieval Augmented Generation (RAG) with insights into 58 new methods, from classical systems to multi-agent Knowledge Graph RAG RL approaches for 2025.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Nate Herk | AI Automation

Best Model for RAG - GPT-4o vs Claude 3.5 vs Gemini Flash 2.0 n8n Experiment Results

Discover which AI model excels in RAG through head-to-head testing of GPT-4o, Claude 3.5 Sonnet, and Gemini Flash 2.0 across recall, speed, coherence, and source attribution metrics.

• YouTube
• 19 minutes
• On-Demand
• Free Video

Nate Herk | AI Automation

Building a Powerful RAG System with n8n, Supabase, and Postgres

Master building an automated RAG system with n8n, Supabase, and Postgres that intelligently uploads documents to vector databases and updates records when files change.

• YouTube
• 19 minutes
• On-Demand
• Free Video

RAG vs. CAG - Solving Knowledge Gaps in AI Models

Explore the differences between RAG and CAG approaches for addressing knowledge gaps in AI models, examining their strengths in real-time retrieval, scalability, and workflow efficiency.

• YouTube
• 16 minutes
• On-Demand
• Free Video

What is Multimodal RAG? - Unlocking LLMs with Vector Databases

Unlock advanced AI capabilities by exploring how LLMs and vector databases enable cross-modal retrieval with text, images, and multimedia content through hybrid approaches.

• YouTube
• 11 minutes
• On-Demand
• Free Video

LLM Foundations: Vector Databases for Caching and Retrieval Augmented Generation (RAG)

70 ratings at LinkedIn Learning

Learn about the basics of vector databases and how to use them in LLM caching and retrieval-augmented generation.

• LinkedIn Learning
• 1 hour 33 minutes
• On-Demand
• Free Trial Available