Focuses on deploying AI/ML models on resource-constrained edge devices, covering model optimization, inference engines, and real-time on-device intelligence.
Course Outline
- Module 1: Edge AI Fundamentals
- Module 2: Model Optimization and Quantization
- Module 3: On-Device Inference Engines
- Module 4: Real-Time Edge Deployment Project
Classroom Training Hours
32 hours of instructor-led classroom training, combined with supervised hands-on lab work.
Competency Flow
graph TD
A[Edge AI Fundamentals] --> B[Model Optimization and Quantization]
B --> C[On-Device Inference Engines]
C --> D[Real-Time Edge Deployment Project]