What You'll Learn
- 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
Requirements
- Basic Python knowledge is recommended, but no prior AI experience is required
Who This Course is For
- Beginners in machine learning looking to gain hands-on experience in model optimization and on-device AI deployment
- AI professionals, data scientists, and students who want to optimize models for deployment on resource-constrained devices like mobile, IoT, and embedded systems
- Developers and engineers interested in learning how to use Qualcomm AI Hub to compile, profile, and deploy efficient AI models
Your Instructor
Start-Tech Academy
5,000,000+ Enrollments | 4.5 Rated | 160+ Countries
4.5 Instructor Rating
164,111 Reviews
2,049,407 Students
132 Courses
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