About the Course
This intensive workshop bridges the gap between theoretical AI modeling and practical, industrial-grade implementation. We focus on low-latency inference, model optimization, and edge deployment strategies.
Curriculum
Neural Network Fundamentals
Backpropagation, activation functions, and architecture selection.
Model Optimization
Pruning, quantization, and knowledge distillation for edge units.
Deployment Pipelines
CI/CD for machine learning and sub-millisecond inference monitoring.
Learning Outcomes
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Ability to optimize models for 10x faster inference on Tegra/Jetson hardware.
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Implement custom CUDA kernels for specialized industrial signal processing.
Registration Specs
- Pricing $1,200 / Seat
- Duration 40 Hours
- Starts May 15, 2026
- Availability 12 Seats Left
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Secure your seat in this highly rigorous edge computing AI deployment masterclass.
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