Qualcomm Linux AI developer workflow

Join Megha Daga, Senior Director of Product Management at Qualcomm Technologies, Inc., in this training session focused on the Qualcomm® Linux® AI Developer Workflow. This video is tailored for developers and professionals in the IoT sector who are keen to enhance their understanding and skills in deploying on-device AI solutions. In this video, you will learn about: • The three fundamental pillars that make on-device AI possible: Qualcomm Technologies’ advanced hardware, innovative software, and application integration. • An in-depth look at Qualcomm's investment in a unified software stack and adherence to industry standards to simplify the development process. • Insights into the major tools and SDKs provided by Qualcomm Technologies, such as the AI Model Efficiency Toolkit (AIMET) and Qualcomm® Intelligent Multimedia SDK (IM SDK), which are designed to optimize and streamline your AI application development. • Detailed explanations of how to utilize the Qualcomm® Neural Processing SDK and TensorFlow Lite (TFLite) runtime for optimal deployment of AI models. • Practical demonstrations on model selection, compilation, optimization, and deployment using Qualcomm® platforms to ensure your AI solutions are efficient and effective on IoT devices. Watch now to start or enhance your journey in creating powerful, efficient AI-driven applications for the IoT landscape. Thank you for watching! For more information about Qualcomm Linux software stack, visit: https://www.qualcomm.com/developer/software/qualcomm-linux Get started with Qualcomm® AI hub: https://aihub.qualcomm.com/ Learn about Qualcomm Neural Processing SDK: https://www.qualcomm.com/developer/software/neural-processing-sdk-for-ai Subscribe: More QDN videos: http://tinyurl.com/2p8xmcw6 Do you have technical questions? Join our developer community at Discord: https://discord.gg/THUPBtskgs Learn more at https://www.qualcomm.com/developer #Qualcomm #iot #linux