Retrieval Augmented Generation Courses and Certifications

Nate Herk | AI Automation

From Zero to RAG Agent - Full Beginner's Course

Discover how to build your first RAG agent using n8n and Supabase vector database in 20 minutes, with no coding required for complete beginners.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Jono Catliff

Build Your First AI ChatBot Using RAG and Make.com - SMS and Email AI Agent

Build an AI chatbot with RAG technology using Make.com for SMS and email automation, including web scraping, database setup, and message training.

• YouTube
• 1 hour 36 minutes
• Self-Paced
• Free Video

Anyscale

Developing and Serving RAG-Based LLM Applications in Production

A practical guide to productionizing RAG applications through scalable workloads, component and system evaluation, and routing between open and closed LLMs.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Developing LLM Applications with LangChain

4768 ratings at DataCamp

Foundation for Developing in the LangChain Ecosystem Augment your LLM toolkit with LangChain's ecosystem, enabling seamless integration with OpenAI and Hugging Face models.

• DataCamp
• 3 hours
• Self-Paced
• Free Trial Available

Building AI Applications with Pinecone

2171 ratings at DataCamp

Unlock the Power of Embeddings with Pinecone's Vector Database In the introductory chapters, you'll delve into the fundamentals of Pinecone, understanding its core capabilities, benefits, and key concepts such as pods, indexes, and projects.

• DataCamp
• 3 hours
• Self-Paced
• Free Trial Available

AI Bites

Building a RAG Application Using LangFlow and Streamlit - A Minimal Coding Tutorial

1 rating

Master building a RAG-powered chat application using LangFlow and Streamlit, focusing on minimal code implementation and creating an AI system capable of explaining other AI models.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Venelin Valkov

Vectorless RAG - Local Financial RAG Without Vector Database - Tree-Based Indexing with Ollama

1 rating

Discover how to build a local RAG system without vector databases using tree-based indexing, Ollama, and LangChain for financial document analysis.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Nvidia

Building LLM Assistants with LlamaIndex, NVIDIA NIM, and Milvus - LLM App Development

1 rating

Build a Q&A chatbot by connecting embedding generation, GPU-accelerated Milvus retrieval, Llama 3 inference, and LlamaIndex orchestration.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Career Certificate

IBM Generative AI Engineering

100962 ratings at Coursera

Build generative AI applications with Python: prompt engineering, transformers and LLMs like BERT and LLaMA, fine-tuning with PyTorch and Hugging Face, and RAG apps using LangChain.

• Coursera
• 24 weeks, 6 hours a week
• Self-Paced
• Paid Course
• 16 courses

Nvidia

Inside Document Intelligence - Architecture and Demos from Edison Scientific and Justt

Explore real-world Document Intelligence applications with Edison Scientific and Justt demos using Nemotron for complex document processing at scale.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

James Briggs

Long Form Question Answering in Haystack

Build a long-form question-answering agent that retrieves information from documents using Haystack, embeddings, and a generator.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

James Briggs

Chatbots with RAG - LangChain Full Walkthrough

Build a chatbot that retrieves relevant knowledge to ground its answers and reduce hallucinations.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

James Briggs

Hugging Face LLMs with SageMaker - RAG with Pinecone

Build a retrieval-augmented generation pipeline that grounds open-source Hugging Face LLM responses in a searchable FAQ dataset.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

James Briggs

Build Conversational Agents with Vector DBs - LangChain

Combine agent-driven retrieval with vector search so a chatbot consults external knowledge only when a query needs it.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

James Briggs

Fixing LLM Hallucinations with Retrieval Augmentation in LangChain

Build a LangChain retrieval pipeline that gives LLMs access to current external knowledge and adds citations to generated answers.

• YouTube
• 31 minutes
• Self-Paced
• Free Video