Qualcomm(R) AI Hub Training

Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm Academy is a program of Qualcomm Technologies, Inc. and/or its subsidiaries.

Welcome to the training center for Qualcomm AI Hub, where you can learn from experienced engineers and discover how you can optimize your Qualcomm AI experience. Feel free to browse below and get ready to learn about some of the most exciting and innovative AI technology on the market!

Why Choose Qualcomm(R) AI Hub?

In the video below, we walk through the benefits and simplicity of using Qualcomm® AI Hub. We talk about why AI should be brought on-device, an overview of which problems Qualcomm AI Hub automatically solves, and the developer workflow to deploy on edge devices.

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Qualcomm(R) AI Hub Training Videos

How to Set Up Your API Token

Start from the beginning of how to use Qualcomm® AI Hub. Set up your API token for first time use and confirm you are ready to get started submitting ML models.

Submitting Your First Job

Walk through how to easily submit a job on Qualcomm® AI Hub. Submit an open-source ML model, targeting a specific device, and receive a link to the compile and profile jobs.

Targeting a Specific Device

Learn how to specify the device of your choice – such as the Qualcomm® RB3 Gen2 platform powered by Qualcomm® QCS6490 chipset – from the dozens available on Qualcomm® AI Hub and submit a job for your model to run on that device.

Targeting a Specific Runtime

Discover the options of supported runtimes available on Qualcomm® AI Hub. Review the steps needed, visit the options in our documentation, and indicate which one you’d like your model to use.

Targeting a Specific Compute Unit

Customize which compute units your model will run on when submitting a job to Qualcomm® AI Hub by specifying NPU, GPU and/or CPU based on what works for your use case.

Checking the Accuracy of Your Model

Learn how to submit an inference job on Qualcomm® AI Hub. Compare the on-device accuracy of your AI model to the reference implementation, in this case a PyTorch MobileNet model, by running an inference job on a test image.

Additional Qualcomm(R) AI Training

Fundamentals of Qualcomm AI

Qualcomm has developed a power-efficient on-device AI to reshape user privacy, security, immediacy, enhanced reliability, and cost across industries, from mobile to IoT to automotive. This 2-hour course covers the fundamentals of how artificial intelligence is incorporated into Qualcomm products to enhance operation and performance. By the end of this course, you will have a basic understanding of Qualcomm’s AI capabilities and will be ready to dive deeper into practical aspects of AI use in your industry.

AI on Qualcomm Innovators Development Kit (QIDK)

This course introduces the power of AI for Qualcomm® Innovators Development Kit (QIDK), which students and developers can use to prototype and build more powerful applications that work with the Snapdragon SoC. The course includes a hands-on lab session that provides step-by-step walkthroughs and demonstrations for using the tools and sample solutions provided in the QIDK repository, which will help you understand the platform.

AI for Qualcomm Robotics

Are you looking for ways to incorporate AI into your robotics projects? In this engaging course centered around Qualcomm® Robotics RB5 Development Kit, we will introduce you to the trending use cases where AI and robotics intersect, how Qualcomm is addressing diverse robotic challenges, and the resources and tools developers like you can benefit from during the app development journey. This course provides hands-on demonstrations, sample apps and projects, and all the resources you need to start building your exciting applications.

AI for Qualcomm Compute

Windows on Snapdragon is a development platform based on Qualcomm’s AI-powered Snapdragon chip that offers remarkable power efficiency, a native toolset, optimized CPU, always-on connectivity, heterogenous computing, and a dedicated Neural Processing Engine. This two-hour, hands-on, developer-friendly course serves as an introduction to AI for Qualcomm Compute platform, covering Windows on Snapdragon, development on the platform, Qualcomm AI stack, and the use of Qualcomm’s Dedicated Neural Processing Engine during development.

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