Current

Intermediate

AI on Jetson: Building Real-Time AI Applications

NVIDIA Deep Learning Institute (DLI) · NVIDIA · Updated March 2026

Platform rating

4.7/5

AI Tutor Rating

8.7/10

Duration

8 hours self-paced

Classes

24

Build real-time AI applications on NVIDIA Jetson edge devices. Cover deployment, optimization, and computer vision at the edge.

What you'll get

Deploy AI models on Jetson edge devices

Build real-time computer vision pipelines

Optimize inference for edge hardware

Create IoT-connected AI applications

Course Curriculum

4 chapters

Fit

Best for

Autonomy Engineers

Self-Driving Developers

IoT Engineers

Systems Engineers

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Basic Python and Linux

Pricing

Free

Certification

Certificate

Growth Leverage: Completing this course opens up roles such as AI Engineer, Machine Learning Specialist, or IoT Developer, particularly in industries like robotics, automotive, and smart cities. It also prepares you for certifications like NVIDIA Certified AI Specialist, enhancing your credibility in the job market.

Skills Value: The skills gained enable professionals to deploy optimized AI solutions rapidly, addressing real-time data processing challenges, which are in high demand, especially in sectors like manufacturing and healthcare. Those with expertise in edge AI can command salary premiums of 10-20% over peers in traditional AI roles.

Jetson

Edge AI

Computer Vision

IoT

NVIDIA

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