The NVIDIA Deep Learning Institute (DLI) offers a practical course in artificial intelligence (AI) and accelerated computing to solve real-world problems.
This course is completely free and is designed for developers, data scientists, researchers, students, and anyone interested in learning about AI.
The Getting Started with AI on Jetson Nano course is one of the most popular courses and is designed for those looking to learn about AI in their own time.
This course teaches you how to build a deep learning classification project with computer vision models using a Jupyter iPython notebook on your own Jetson Nano.
With this course, you will be able to set up your Jetson Nano and camera, collect image data for classification models, annotate image data for regression models, train a neural network on your data, and run inferences on the Jetson Nano with the models you create.
To take the course, you only need to have basic familiarity with Python, it’s not mandatory but it would be helpful.
You will also need some tools like the NVIDIA Jetson Nano developer kit, a high-performance microSD card, a 5V 4A power supply, a Logitech C270 USB webcam, a USB cable, and a 2-pin bridge.
Once you complete the course, you will receive a competency certificate that you can use to support your professional growth.
The course is available online for self-paced individuals, instructor-led workshops for teams, and downloadable materials for university educators.
The goal of the course is to teach you how AI is in the hands of manufacturers, self-taught developers, and technology enthusiasts.
The Jetson Nano computer is a powerful and easy-to-use tool that allows you to run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing.
In addition to PyTorch and Jetson Nano, other tools, libraries, and frameworks will also be used. The course also has a multiple-choice assessment so you can measure your progress.
If you’re interested in joining the course, simply click on this link to access the course. Learn about AI and start building your own deep learning projects today!
