# Learn With NVIDIA

NVIDIA Learning Paths bring together training, certification, and developer resources to help you build practical skills in AI, accelerated computing, and graphics.

## Training and Certification Learning Paths

NVIDIA’s learning paths are structured, role-based development routes that guide learners from foundational knowledge to advanced technical mastery across AI, accelerated computing, and infrastructure deployment. Each path is designed to build skills progressively through a combination of coursework, hands-on labs, and practical assessments—culminating in industry-recognized certification opportunities.

1. ### By Topic

2. ### By Certification

3. ### By Project

Explore structured learning paths organized around core technology areas including AI, accelerated computing, data science, and infrastructure. Each topic path guides you through the skills and resources you need to go from foundational concepts to advanced expertise.

Ansys, Siemens Gamesa

### Accelerated Computing

Develop the skills to harness GPUs for high-performance computing, covering parallel programming, optimization, and efficient deployment.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/learning-path/accelerated-computing.md)

### DGX Platform and Data Center

Empower your enterprise team with NVIDIA DGX™ administration training to quickly harness the full capabilities of NVIDIA's leading platform for AI development.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/learning-path/dgx-data-center.md)

### Generative AI and LLMs

Elevate your technical skills and earn NVIDIA certification in generative AI and large language models.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/learning-path/generative-ai-llm.md)

### AI Factory Deployment

Learn to deploy, validate, and scale AI factory environments with confidence.

[Explore Learning Path](https://www.nvidia.com/en-us/training/academy/learning-path-detail/?id=learningProgram%3A164643)

### AI Networking

Learn to deploy and optimize high-performance, scalable network infrastructure tailored for AI-driven workloads and data centers.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/learning-paths/ai-networking.md)

### Robotics Fundamentals

Start your robotics with essential foundations in simulation, Robot Operating System (ROS), and robot learning.

[Explore Learning Path](https://docs.nvidia.com/learning/physical-ai/robotics.html)

### Universal Scene Description (OpenUSD)

Learn to harness the full potential of OpenUSD to accelerate your 3D workflow with these free courses.

[Explore Learning Path](https://docs.nvidia.com/learn-openusd/latest/index.html)

### Industrial Digital Twins

Get started with an essential foundation in developing OpenUSD-based digital twin applications and workflows for the era of physical AI.

[Explore Learning Path](https://docs.nvidia.com/learning/physical-ai/assembling-digital-twins/latest/index.html)

Prepare for NVIDIA certification with learning paths aligned to specific credentials. Each path equips you with the knowledge and hands-on experience needed to validate your skills and earn industry-recognized NVIDIA certifications.

### NVIDIA-Certified Associate: Accelerated Data Science

Learn how to use GPU-accelerated data science concepts to prepare data, develop models, and manage end-to-end workflows.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/certification/accelerated-data-science-associate/#certification-learning-path)

### NVIDIA-Certified Professional: Accelerated Data Science

Understand how to leverage GPU-accelerated tools and libraries for data science workflows.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/certification/accelerated-data-science-professional/#certification-learning-path)

### NVIDIA-Certified Associate: AI Infrastructure and Operations

Discover foundational concepts of AI computing related to infrastructure and operations.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/certification/ai-infrastructure-operations-associate/#certification-learning-path)

### NVIDIA-Certified Professional: AI Infrastructure

Learn how to deploy, configure, and validate advanced NVIDIA AI Infrastructure.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/certification/ai-infrastructure-professional/#certification-learning-path)

### NVIDIA-Certified Professional: AI Operations

Gain the skills needed to monitor, troubleshoot, and optimize NVIDIA AI infrastructure.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/certification/ai-operations-professional/#certification-learning-path)

### NVIDIA-Certified Professional: AI Networking

Learn how to deploy and configure environments that leverage NVIDIA’s advanced networking technologies.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/certification/ai-networking-professional/#certification-learning-path)

### NVIDIA-Certified Associate: Generative AI LLM

Build foundational knowledge for developing, integrating, and maintaining AI-driven applications using generative AI and LLMs with NVIDIA solutions.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/certification/generative-ai-llm-associate/#exam-blueprint)

### NVIDIA-Certified Associate: Generative AI Multimodal

Discover the foundational skills needed to design, implement, and manage AI systems that synthesize and interpret data across text, image, and audio modalities.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/certification/generative-ai-multimodal-associate/#exam-blueprint)

### NVIDIA-Certified Professional: Agentic AI

Understand how to build and govern advanced agentic AI solutions with multi-agent interaction, scalability, and ethical safeguards.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/certification/agentic-ai-professional/#certification-learning-path)

### NVIDIA-Certified Professional: Generative AI LLMs

Learn to design, train, and optimize LLMs, leveraging advanced distributed training and fine-tuning strategies to deliver high-performance AI solutions.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/certification/generative-ai-llm-professional/#certification-learning-path)

### NVIDIA-Certified Professional: OpenUSD Development

Explore how to build, maintain, and optimize 3D content creation pipelines using OpenUSD.

[Explore Learning Path](https://www.nvidia.com/en-us/learn/certification/openusd-development-professional/#certification-learning-path)

Build real-world applications with paths that guide you from learning core concepts to creating a functional project. Project learning paths will get you started quickly in a hands-on development environment.

### How to Train a Humanoid Robot

Build a humanoid manipulation policy for a task, starting in simulation and ending on the real robot.

[Learn How to Train Humanoid Robots](https://docs.nvidia.com/learning/physical-ai/gr00t-e2e-workflow/latest/index.html)

### How to Train a Real Robot Arm

Train and deploy a vision-language-action (VLA) model to perform an unstructured pick-and-place task using an SO-101 robot arm.

[Learn How to Train a Pick-and-Place Policy](https://docs.nvidia.com/learning/physical-ai/sim-to-real-so-101/latest/index.html)

### How to Train Healthcare Robots

Learn how to build, simulate, and deploy a robotic system for an ultrasound scan.

[Learn How to Train Healthcare Robots](https://docs.nvidia.com/learning/physical-ai/getting-started-with-isaac-for-healthcare/latest/training-healthcare-robots-from-scratch/index.html)

### How to Build an AI Agent

Learn about the foundational concepts of AI agents and build one yourself using NVIDIA Nemotron™ open source models.

[Learn How to Build an AI Agent](https://developer.nvidia.com/topics/ai/how-to-build-an-ai-agent)

### How to Build an Agentic RAG Application

Learn about retrieval-augmented generation (RAG) AI agents and create your own with NVIDIA Nemotron.

[Learn How to Build a RAG Application](https://developer.nvidia.com/topics/ai/how-to-build-agentic-ai-rag)

### How to Evaluate AI Agents

Learn how to systematically measure, debug, and improve real-world agent behavior using NVIDIA Nemotron and NVIDIA NeMo™ evaluation tools.

[Learn How to Evaluate Agents](https://developer.nvidia.com/topics/ai/how-to-evaluate-ai-agents)

### How to Customize AI Agents

Learn how to fine-tune a general-purpose agent into a domain expert using NVIDIA NeMo open libraries and NVIDIA Nemotron open models.

[Learn How to Customize Agents](https://developer.nvidia.com/topics/ai/how-to-customize-ai-agents)

### How to Build Deep AI Agents

Learn how to build deep agents that plan, delegate to sub-agents, and persist memory across tasks using the NVIDIA AI-Q Blueprint and NVIDIA NeMo Agent Toolkit.

[Learn How to Build a Deep Agent](https://developer.nvidia.com/topics/ai/how-to-build-deep-ai-agents)

### How to Build a Safer Autonomous Agent Using OpenClaw

Learn to build and secure long-running, autonomous AI agents using OpenClaw and NVIDIA® NemoClaw™.

[Learn How to Build With OpenClaw](https://developer.nvidia.com/topics/ai/how-to-build-safer-autonomous-agent-using-openclaw)

### Deploy Faster Generative AI Models With NVIDIA NIM on GKE

Deploy pre-built NVIDIA NIM™ microservices for inference tasks on Google Kubernetes Engine and streamline AI model deployment. Created in partnership with Google Cloud.

[Learn How to Deploy NIM](https://developers.google.com/learn/pathways/deploy-faster-gen-ai-models-nvidia-gke)

### Speed Up Data Analytics on GPUs

Learn how to accelerate analytics for large data sets on Google Cloud by tapping into NVIDIA GPUs—no code changes required. Created in partnership with Google Cloud.

[Learn How to Speed Up Analytics](https://developers.google.com/learn/pathways/speed-up-data-analytics-GPUs)

### Intro to Inference: How to Run AI Models on a GPU

Get started with the inference pipeline, model formats, and performance metrics. Created in partnership with Google Cloud.

[Learn How to Run AI Inference](https://developers.google.com/learn/pathways/ai-models-on-gpu-intro)

### Accelerated Machine Learning With Google Cloud and NVIDIA

Learn how to accelerate machine learning workflows on Google Cloud by tapping into NVIDIA GPUs.

[Learn How to Accelerate ML](https://developers.google.com/learn/pathways/accelerated-machine-learning-with-google-cloud-and-nvidia)

## Take the Next Steps

### Get Certified

Certification from NVIDIA can be a key step in advancing your career. It validates your expertise, showcases your skills, and highlights your commitment to continuous improvement.

Elevate your career and make an impact with an NVIDIA certification.

[Learn More](https://www.nvidia.com/en-us/learn/certification.md)

### Team and Individual Training

Whether you aim to acquire specific skills for your projects and teams, keep pace with technology in your field, or advance your career, NVIDIA Training can help you take your skills to the next level.

Contact us if you have questions about training, whether it’s for yourself or your team.

[Contact Us](https://www.nvidia.com/en-us/learn/training/support.md)

### Stay Informed

Sign up for developer news, announcements, and more from NVIDIA. Get the latest information on new self-paced courses, instructor-led workshops, free training, discounts, and more. You can unsubscribe at any time.

[Subscribe](#subscribe)