Optimize and Deploy Edge AI Models Course
by Coursera
Learn to optimize and deploy machine learning models on edge devices using TensorFlow Lite. Analyze robustness, fairness, and performance trade-offs.
Why this course
- Covers essential edge AI deployment techniques with practical focus on TensorFlow Lite
- Teaches slice-based evaluation to uncover fairness and robustness issues
- Provides clear understanding of quantization trade-offs in model performance
- Highly relevant for real-world AI engineering roles in IoT and embedded systems
