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Courses & Programs
Global Startups and Ecosystem 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.
Are you an inventor, a researcher, or at a startup? The training resources on this page are specially curated to broaden your technical, intellectual property law, and business acumen. Dive into courses prepared by Qualcomm Technologies, Inc. engineers and other industry professionals in the areas of edge-AI, 5G, cellular and IoT device design fundamentals, intellectual property law, business, and state-of-the-art industry perspectives.
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 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.
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.
Qualcomm(R) AI Hub Training
Why Choose Qualcomm(R) AI Hub?
In this video, 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.
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.
5G Training for All Levels
5G University Program
Qualcomm Academy is excited to offer students free 5G training, the opportunity to receive a 5G certification, and the opportunity to connect with Qualcomm recruiters! This program is open to students around the world pursuing any degree.
5G Associate-Level Certification
Interested in enhancing your professional portfolio by receiving a 5G certification from an industry leader? Read on to learn how you can receive a 5G Associate-Level Certification from Qualcomm Technologies.
5G for Everyone
Looking to learn about 5G, how it works, and how it's changing the world? Check out our FREE introductory-level 5G course offered through Coursera! Learn online, at your own pace, and with an experienced engineer from Qualcomm Technologies.
Industry Perspective Webinars
Discover some of the hottest technology trends from leading industry experts! Topics include AI, 5G, XR, IoT, and more.
Understand Intellectual Property Law
You have worked hard as an inventor or researcher. Learn to protect your creative work with special tools available under applicable law. For instance, patents protect inventions so that inventors can focus on their work and be compensated for it. But many people don’t know how to navigate the patenting process, or even where to start.
Below are links to free eLearning courses that will help you understand the various forms of Intellectual Property Rights (IPR) and the individual country processes for applying for IPR protection. These courses have been prepared by Qualcomm Technologies, Inc. in collaboration with law institutions, industry professionals, inclusion and diversity specialists, and technology experts.