Retrieval Augmented Generation (RAG) Courses and Certifications

The Machine Learning Engineer

RAG Integration with Nvidia NIM and LlamaIndex - Building Document Query Applications

Explore building a RAG application using LlamaIndex and Nvidia NIM to effectively query private documents with LLama 3.2 3B and Phi3 3.5 Small 128k models.

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

The Machine Learning Engineer

RAG - How to Extract Information from PDF with LlamaIndex and OpenAI GPT-4

Master PDF information extraction techniques using LlamaIndex and GPT-4, enabling efficient document processing and data retrieval through practical implementation steps.

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

The Machine Learning Engineer

Multimodal RAG Application Development with LlamaIndex, Google AI, Gemini Pro and Qdrant

Master building multimodal RAG applications using LlamaIndex, Google AI Studio SDK, and Gemini models to extract and process information from images with Qdrant vector storage integration.

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

Aladdin Persson

Building DietGPT: Estimating Calories with RAG - Part 2

Learn how to build a calorie estimation system using GPT and RAG, covering dataset preparation, API integration, and results analysis for dietary applications.

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

The Machine Learning Engineer

Llama 2, Ollama and Pinecone: Searching in Vector Stores

Instala y utiliza OLLAMA y Pinecone para crear embeddings con LLama2 7B, subir contenido a la base de vectores y realizar consultas eficientes.

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

The Machine Learning Engineer

GraphRAG - Unleashing the Power of Knowledge Graphs with LLMs (Español)

Descubre cómo potenciar agentes RAG con GraphRAG, una suite de herramientas para crear y utilizar Knowledge Graphs mediante LLMs, mejorando la búsqueda e interpretabilidad.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

SK AI SUMMIT 2024

RAG vs PEFT - Comparing LLM Domain Adaptation Methods

Delve into LLM 도메인 적용을 위한 RAG와 PEFT 방식의 비교 분석과 SK브로드밴드의 실제 구현 사례를 통한 AWS 환경 구축 및 모델 개발 노하우

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

The Machine Learning Engineer

RAG - Extracting Information from PDFs Using LlamaIndex, Gemini, and Nvidia NIM with Llama 3.2

Aprende a extraer información de PDFs utilizando LlamaIndex, implementando modelos como Gemini y Nvidia NIM para embeddings junto con LLama 3.2 para procesamiento de lenguaje natural.

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

The Machine Learning Engineer

RAG: Nvidia NIM Integration with Langchain for HTML Web Page Parsing

Descubre cómo implementar aplicaciones RAG utilizando Langchain y Nvidia NIM para extraer información de páginas HTML, integrando el modelo Mistral 8 7b Instruct para procesamiento avanzado.

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

The Machine Learning Engineer

RAG: Building Document Question-Answering with Nvidia NIM and LlamaIndex Integration

Descubre cómo implementar RAG utilizando LlamaIndex y Nvidia NIM para interactuar con documentos privados, integrando LLama 3.2 3B y Phi3 3.5 Small para procesamiento de lenguaje natural.

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

The Machine Learning Engineer

Multimodal RAG with LlamaIndex, Google AI, Gemini Pro and Qdrant

Explore cómo crear aplicaciones RAG multimodales utilizando LlamaIndex, Google AI Studio SDK y Gemini Pro para extraer información estructurada de imágenes con Qdrant como vector store.

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

The Machine Learning Engineer

Multimodal RAG with LangChain, VertexAI, Gemini Pro and Chroma

Aprende a construir aplicaciones RAG multimodales utilizando LangChain, VertexAI y Chroma para procesar eficientemente datos no estructurados como PDFs e imágenes.

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

Introduction to Retrieval Augmented Generation (RAG)

25 ratings at Coursera

Learn to build a powerful RAG system using Pandas, SentenceTransformers, and LLMs. Hands-on project covers data import, embeddings creation, and integration with Qdrant for advanced AI applications.

• Coursera
• 5 hours 9 minutes
• On-Demand
• Paid Course

2024 Bootcamp: Generative AI + LLM App Development.

1247 ratings at Udemy

From zero to professional level: learn the keys to AI and build the most potential Generative AI applications.

• Udemy
• 2 days 23 hours 22 minutes
• On-Demand
• Paid Course

LangChain Chat with Your Data

499 ratings at Coursera

Learn to build a chatbot using LangChain, focusing on RAG, document handling, vector stores, and advanced retrieval techniques for interacting with your own data sources.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course