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Neural Network Inference on Edge Chips

Neural Network Inference on Edge Chips

₹12500

₹25000

Deploy neural network inference on edge AI chips and embedded platforms. Covers quantisation (INT8/INT4), model pruning, TensorFlow Lite, ONNX runtime, NPU operator mapping, memory bandwidth optimisation, and latency profiling. Hands-on deployment on ARM Ethos NPU, Raspberry Pi 5, and custom edge AI

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Has discount
Expiry period Lifetime
Made in English
Last updated at Sun Apr 2026
Level
Intermediate
Total lectures 0
Total quizzes 0
Total duration Hours
Total enrolment 0
Number of reviews 378
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Short description Deploy neural network inference on edge AI chips and embedded platforms. Covers quantisation (INT8/INT4), model pruning, TensorFlow Lite, ONNX runtime, NPU operator mapping, memory bandwidth optimisation, and latency profiling. Hands-on deployment on ARM Ethos NPU, Raspberry Pi 5, and custom edge AI
Outcomes
  • Understand core concepts of Neural Network Inference Edge AI Chip NPU ARM Ethos
  • Apply practical workflows in Edge AI
  • Build job-ready skills for AI / ML for Hardware Courses
  • Work with edge AI
  • Work with neural network inference
  • Work with NPU
  • Work with quantisation
  • Work with INT8
Requirements
  • Basic understanding of electronics and circuits
  • A laptop/desktop with stable internet
  • Suitable for professionals
  • Recommended for ai chip / ml engineer
  • Tools access can be enabled with this course