Jetson Nano Starter to Pro - A Computer Vision Course

About this course

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will explore the fascinating world of computer vision and artificial intelligence through the NVIDIA Jetson platform. By working through various modules, you'll gain a strong understanding of how to set up and optimize Jetson for AI tasks, with hands-on projects and practical applications of Jetson's capabilities. The course covers everything from basic image processing with OpenCV to advanced AI tools like YOLO, TensorRT, and DeepStream, helping you to develop cutting-edge computer vision applications. You will start by learning the basics of Jetson setup, moving on to installing essential libraries such as OpenCV and PyTorch, and applying them to create powerful image processing workflows. The course then takes you through object detection, deep learning, and AI optimization using tools like TensorRT, showcasing real-world applications like vehicle tracking and automatic number plate recognition. The final modules focus on integrating multiple cameras with DeepStream, enabling the creation of sophisticated surveillance systems. This course is ideal for those who wish to dive into the world of AI on edge devices, whether for robotics, surveillance, or other real-time applications. It is suitable for learners with basic programming knowledge and an interest in computer vision and AI development. By the end of the course, you will be equipped to build and deploy AI-powered computer vision systems using Jetson Nano.

Course objectives

• introduce basic concepts in computer vision
• support learners in building real-world AI applications
• prepare participants for edge device programming and optimization