Nvidia Courses

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
• Self-Paced
• Free Video

Explore NVIDIA Metropolis AI-Powered Multi-Camera Tracking on AWS

Discover AI-powered multi-camera tracking with NVIDIA Metropolis on AWS. Step-by-step guide for deploying advanced video analytics and real-time location systems using synthetic data and microservices.

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

Deploying Generative AI Applications - Building Code Assistants, Image Search, and Robotics Solutions

Discover practical implementations of LLMs through hands-on demonstrations of image search applications, coding assistance tools, and vision-language action models for robotics integration.

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

Fine-tuning Character Animation with Autodesk Maya and NVIDIA ACE

Adjust settings in Autodesk Maya to fine-tune character animation, focusing on personality, reactions, and facial movements using NVIDIA ACE technology.

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

Setting Up a RAG Demo on NVIDIA AI Workbench - Step-by-Step Tutorial

Step-by-step guide to set up a retrieval-augmented generation (RAG) system using NVIDIA AI Workbench, enabling developers to create AI projects on their local machines without a GPU in about an hour.

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

Enabling Voice Interaction with RAG Pipeline Using NVIDIA Riva NIM Microservices

Explore NVIDIA Riva's speech AI capabilities, including automatic speech recognition and text-to-speech, with step-by-step guidance on API usage, model selection, and GPU deployment for various applications.

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

How to Develop Teams of AI Agents with NVIDIA AgentIQ Open Source Library

Discover how to build and optimize teams of AI agents using NVIDIA's AgentIQ open-source library, connecting various LLM frameworks to create complex agentic AI systems for enterprise applications.

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

DeepSeek R1 Performance Optimization to Push the Throughput Performance Boundary

Discover how to optimize DeepSeek R1 throughput scenarios and achieve world-class GPU inference performance using NVIDIA Blackwell architecture from industry experts.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

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
• Self-Paced
• Free Video

DeepSeek R1 Performance Optimization to Push the Latency Performance Boundary

Discover how NVIDIA experts optimize DeepSeek R1's latency performance using TensorRT-LLM and cutting-edge Blackwell GPU technologies to achieve world-record speeds.

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

Addressing Memory Overflow Issues with Large Datasets

Discover three practical solutions to handle large datasets that exceed memory limits when working with pandas DataFrames, including GPU-accelerated unified virtual memory.

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

Step by Step Installation of NVIDIA Virtual GPU on Windows Server 2025

Master NVIDIA Virtual GPU installation on Windows Server 2025 with step-by-step guidance covering Hyper-V setup, vGPU Manager installation, GPU partitioning, and driver setup for both Windows and Linux.

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

10 Lines of Code - Data Science Agent

Build a data science agent in a Colab notebook using 10 lines of code, a GPU, and an API key.

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

Dynamo KVBM - Managing Memory at Scale

Discover how Dynamo's KV Block Manager optimizes memory management for high-throughput LLM deployments, covering architecture, runtime integration, and practical implementation strategies.

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

Implementing New Algorithm with CUDA Kernels - CUDA C++ Class Part 3

Master GPU algorithm implementation using CUDA kernels, debugging tools, atomic operations, shared memory optimization, and CUB library through hands-on exercises and solutions.

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