Master On-Device AI! Learn to Train, Compile and Profile AI Models for Edge Device deployement with Qualcomm AI Hub
Sub Category
- Data Science
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Objectives
- Understand the complete workflow of On-Device AI deployment, from training to inference
- Learn how to use Qualcomm AI Hub for managing, compiling, and optimizing AI models
- Master model profiling and compilation to enhance performance on edge devices
- Learn quantization techniques to optimize AI models for mobile, IoT, and embedded systems
- Understand the difference between symmetric and asymmetric quantization
Pre Requisites
- Basic Python knowledge is recommended, but no prior AI experience is required
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)