Course Details
Edge AI & IoT Deployment
Optimize and deploy lightweight neural networks onto microcontrollers, edge devices, and mobile hardware.
Hands-on Highlights
This program is designed around shipping functional, production-ready AI applications from day one. You will move beyond theory and build real products.
- 1Quantize and prune neural networks for edge devices
- 2Deploy models onto Raspberry Pi and Jetson Nano
- 3Build a wake-word detection system for microcontrollers
- 4Implement real-time inference on iOS/Android
Detailed Syllabus
Model Optimization Techniques
- →Why edge AI? Hardware constraints
- →Post-training quantization (PTQ)
- →Quantization-Aware Training (QAT)
- →Network pruning and knowledge distillation
Microcontrollers & TinyML
- →Introduction to TinyML
- →TensorFlow Lite for Microcontrollers
- →Building a wake-word detection system
- →Deploying on Arduino/ESP32
SBCs & Hardware Accelerators
- →Deploying on Raspberry Pi
- →Accelerating inference with Google Coral TPU
- →NVIDIA Jetson Nano basics
- →Real-time object detection at the edge
Mobile Deployment (iOS/Android)
- →Converting models to CoreML (iOS)
- →TFLite integration in Android Apps
- →Handling battery/thermal constraints
- →Final Edge AI capstone project
Format & Location
Hybrid Learning
Choose between intensive IRL bootcamps at our physical campuses in Pondicherry, Vellore, or Coimbatore, or join our flexible online programs designed for working professionals.
Prerequisites
Who is this for?
We assume a fundamental understanding of Python and basic programming concepts. This is for developers looking to master deep learning and build real AI products.
Elite Mentorship
Learn from builders
Learn directly from engineers who have built and scaled AI systems. Get code reviews, architecture feedback, and career guidance.
Outcomes
Ship real products
Our primary focus is helping you build a strong portfolio of real, deployed AI products to show employers. All graduates receive a verifiable certificate.
Ready to build?
Join our next cohort to get started.