Current
Intermediate
Edge AI & Vision: Deploy Models on NVIDIA Jetson
Udemy · Dusty Franklin · Updated March 2026
Platform rating
4.4/5
AI Tutor Rating
8.2/10
Duration
8 hours video
Classes
55
Deploy deep learning models on NVIDIA Jetson devices for real-time computer vision, object detection, and edge inference applications.
What you'll get
Run computer vision on embedded hardware
Deploy ML models on edge devices and microcontrollers
Build edge-based anomaly detection systems
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 deep learning
Pricing
$14.99
Certification
Certificate
Growth Leverage: Completing this course positions you for roles such as Edge AI Engineer, Computer Vision Engineer, or Embedded Systems Developer. It opens opportunities for certifications like NVIDIA DLI and prepares you for projects in sectors like robotics, surveillance, and smart manufacturing.
Skills Value: The skills gained allow you to deploy machine learning models on hardware, positioning you to tackle real-time challenges in various industries. Given the increasing demand for AI solutions, professionals in these roles can expect salary premiums of 10-30% above standard engineering wages.
Edge AI
NVIDIA Jetson
Computer Vision
Deep Learning
Inference
Edge