Looking to get started with AI but don’t know how? NVIDIA has just published a new self-paced Deep Learning Institute course that uses the newly released Jetson Nano Developer Kit to get up and running fast.
In the course, students will learn to collect image data and use it to train, optimize, and deploy AI models for custom tasks like recognizing hand gestures, and image regression for locating a key point in an image.
The Jetson Nano Developer Kit is a powerful, easy-to-use, mini AI computer that lets users run multiple neural networks in parallel. The device is perfectly suited for image classification, object detection, segmentation, speech processing, and more.
Students will use Jupyter notebooks on the Jetson Nano to build a deep learning classification project with computer vision models.
Learn how 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 to create your own models
- Run inference on the Jetson Nano with the models you create
- Upon completion, you’ll be able to create your own deep learning classification and regression models with the Jetson Nano.
Some experience with Python is helpful but not required.
The NVIDIA Deep Learning Institute (DLI) focuses on hands-on training in AI and accelerated computing. Developers, data scientists, researchers, and students can get practical experience powered by GPUs in the cloud and earn a certificate of competency to support professional growth.
Students can sign up immediately and start learning how to get started with AI using the NVIDIA Jetson Nano now.
Steering the Course – Other Available Resources
Along with the DLI course, there are a variety of other Jetson Nano resources, ranging from beginner to advanced.
The Hello AI World tutorial is a great entry point to using the Jetson Nano. In just a few hours, developers can have a set of deep learning inference demos up and running for real-time image classification and object detection (using pretrained models) on the developer kit with JetPack SDK and NVIDIA TensorRT. The tutorial focuses on networks related to computer vision, and includes the use of live cameras.
JetBot is an open-source robot that’s easy to set up and use. It’s compatible with many accessories and includes interactive tutorials to follow objects, avoid collisions and more through the power of AI. The kit includes the complete robot chassis, wheels, and controllers along with a battery and 8MP camera. It supports AI frameworks such as TensorFlow and PyTorch.
The recently released JetRacer is an educational AI race car and all of the parts cost less than $400, including the Jetson Nano. There are examples included — from basic motion to AI road following — and it can be interactively programmed from a web browser.
In Search of the Next Great AI Project
Now it’s time to start creating. Check out the current projects page for a little inspiration.
Have a Jetson project to share? Post it on our forum for a chance to be featured here too. Every month, we’ll award one project with a Jetson AGX Xavier Developer Kit that really stands out for its application, inventiveness and creativity.
