intermediateFree
Introduction to On-Device AI
by Qualcomm AI Team · DeepLearning.AI
4.4(1,800 reviews)
30K+ enrolled1 hourUpdated 2024-08
What You'll Learn
Understand the fundamentals and key concepts of model deployment
Apply model deployment techniques to solve real-world problems
Understand the fundamentals and key concepts of edge AI
Apply edge AI techniques to solve real-world problems
Understand the fundamentals and key concepts of quantization
Apply quantization techniques to solve real-world problems
About This Course
Deploy AI models on edge devices covering model compression, quantization, and optimization for mobile and IoT.
Curriculum
Module 1: Model deployment & Edge AI6 lessons
- Introduction to model deployment
- Model deployment in Practice
- Hands-on Exercise: Model deployment
- Introduction to edge AI
- Edge AI in Practice
- Hands-on Exercise: Edge AI
Module 2: Quantization & Model optimization6 lessons
- Introduction to quantization
- Quantization in Practice
- Hands-on Exercise: Quantization
- Introduction to model optimization
- Model optimization in Practice
- Hands-on Exercise: Model optimization
Module 3: Mobile AI3 lessons
- Introduction to mobile AI
- Mobile AI in Practice
- Hands-on Exercise: Mobile AI
Instructor
Qualcomm AI Team
Instructor at DeepLearning.AI
Pros & Cons
Pros
- Completely free to access
- High-quality video lectures
- Taught by Qualcomm AI Team
- Well-structured curriculum
Cons
- No certificate provided
- Self-paced requires discipline
Free
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