NVIDIA NIM Courses and Certifications

Python Simplified

NVIDIA NIM for Beginners - Creating a Llama 3.1 Dataset Generator App

Explore NVIDIA NIM platform to create a Llama 3.1 Powered Application. Learn about microservices, APIs, and build a custom Dataset Maker App using Python, suitable for beginners and professionals alike.

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

All About AI

NVIDIA NIM - Deploy Accelerated AI in 5 Minutes

Discover how to rapidly deploy accelerated AI using NVIDIA NIM. Learn about the API catalog, understand NIM's capabilities, and explore the deployment process in this concise tutorial.

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

Nvidia

Digital Humans and AI Design with NVIDIA NIM on RTX PCs

Discover how to build powerful agentic AI workflows using NVIDIA NIM microservices on RTX PCs for fast, local AI model deployment and experimentation.

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

AWS Events

How to Deploy NVIDIA NIM on Amazon SageMaker for LLM Applications

Discover how to deploy large language models efficiently using NVIDIA NIM on Amazon SageMaker, from rapid model deployment to enterprise-grade AI application integration with optimized technologies.

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

AWS Events

Deploying and Scaling Large Language Models with NVIDIA NIM on Amazon EKS

Learn to deploy and scale large language models efficiently on Amazon EKS using NVIDIA Inference Microservices, covering cluster setup, performance optimization, and cost monitoring.

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

Data Science Festival

Building RAG Applications from Scratch with NVIDIA NIM Microservices

Dive into building scalable RAG applications using NVIDIA NIM microservices, covering text embedding, reranking, and chatbot integration for high-performance AI deployment.

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

Canonical Ubuntu

Fast-tracking Generative AI with NVIDIA and Canonical

Discover how NVIDIA AI Enterprise and NIM microservices integrate with Canonical's open-source solutions to accelerate generative AI deployment and streamline production workflows.

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

Nvidia

Introducing NVIDIA Dynamo: A Distributed Inference Serving Framework for Reasoning Models

Discover NVIDIA Dynamo, a distributed inference serving framework for reasoning LLMs in multi-node environments, featuring disaggregated serving techniques and seamless scaling capabilities for optimized request handling.

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

Nvidia

Building Multimodal AI RAG with LlamaIndex, NVIDIA NIM, and Milvus - LLM App Development

2 reviews

Learn to build a multimodal AI RAG application using LlamaIndex, NVIDIA NIM, and Milvus. Covers document processing, vector database integration, inference with Llama 3, and seamless orchestration for efficient Q&A experiences.

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

Mervin Praison

NVIDIA NIM: Deploying and Integrating Generative AI Models in Applications

Learn to deploy and integrate generative AI models using NVIDIA NIM. Explore vision and text models, create user interfaces, and implement image analysis and chat functionality in your applications.

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

Nvidia

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

Learn to create a Q&A chatbot using NVIDIA NIM for embeddings, Milvus for storage, Llama3 for inference, and LlamaIndex for seamless integration in this comprehensive tutorial.

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

Nvidia

Developing Local AI Copilots with LangChain, NVIDIA NIM, and FAISS - LLM App Development

Learn to build a local AI copilot using LangChain, NVIDIA NIM, and FAISS. Covers document processing, vector storage, inference with Llama 3, and LangChain orchestration for responsive LLM applications.

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

The Machine Learning Engineer

NVIDIA NIM Integration with Langchain for RAG Q&A

Explore NVIDIA NIM integration with Langchain, creating a RAG Q&A system using Faiss for enhanced machine learning and data science applications.

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

The Machine Learning Engineer

RAG - Parsing HTML Content with BeautifulSoup and Nvidia NIM Integration in LangChain

Dive into building RAG systems by integrating Nvidia NIM with LangChain, using BeautifulSoup for HTML parsing and Mistral 8 7b Instruct as the foundation model.

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

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