Computer Vision / Video Analytics

Free Self-Paced Online Course for Intelligent Video Analytics Now Available

Converting large amounts of video data to real-time actionable insights is crucial to success in every industry, from smart cities, retail, manufacturing, to healthcare.

Companies and institutions are looking for professionals and enthusiasts who can understand the challenges in traditional video analytics and can bring their AI expertise to enable and build intelligent video analytics-based apps.

NVIDIA has developed a new course designed to help developers build simple and innovative AI-based apps.  

If you are interested in learning how to build applications based on computer vision, video intelligence, and/or IoT streaming, sign-up now for “Getting Started with DeepStream for Video Analytics on Jetson Nano,” offered free of charge by NVIDIA’s Deep Learning Institute.

This free DLI course shows you how to build intelligent video analytics applications using the NVIDIA DeepStream SDK–a general-purpose streaming analytics toolkit–and the, easy-to-set-up NVIDIA Jetson Nano Developer Kit.

In the course, you will learn how to:

  • Build an AI application using NVIDIA’s Jetson Nano 
  • Create an end-to-end DeepStream pipeline to convert raw video input into insightful annotated video output and configure multiple video streams simultaneously
  • Use Jupyter Labs for a series of exercises

Developers who successfully complete the course will also receive a certificate from DLI.

Enroll now>

Discuss (0)