Free Course — No signup required

Learn Edge Computing
in 5 Days

Run AI inference on constrained hardware — from edge architecture through TinyML deployment.

5 lessons

Self-paced

~60 min/day

Free forever

No account needed

Start Day 1 — Free → See what's covered

What you'll learn

Edge Computing in 5 Days

Free 5-day edge computing course. Edge vs cloud, inference optimization, TinyML, deployment, and monitoring.

Understand edge vs cloud trade-offs: latency, bandwidth, privacy, and cost
Quantize and prune neural networks for deployment on edge hardware
Run TensorFlow Lite models on Raspberry Pi, Arduino Nano 33, and ESP32
Deploy models with ONNX Runtime and optimize for ARM NEON SIMD instructions
Monitor edge deployments: drift detection, remote update, and fleet management

TinyML

on-device

TFLite

ONNX

ARM

optimized

$0

cost

5-Day Curriculum

Every lesson builds on the last.
No theory without practice.

Latency, bandwidth, privacy, when to use edge

edgecloudlatencybandwidth

Model Optimization

Quantization (INT8), pruning, knowledge distillation

quantizationpruningINT8distillation

TensorFlow Lite

Convert, optimize, deploy .tflite on Pi and Arduino

TFLiteflatbufferdelegateArduino

ONNX and Deployment

ONNX Runtime, OpenVINO, Coral TPU, Jetson Nano

ONNXOpenVINOCoralJetson

Monitoring and Updates

Drift detection, OTA model updates, fleet management

driftOTAmonitoringfleet

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Your instructor

B

Bo Peng

Founder, Precision AI Academy

Kaggle Top 200 data scientist. Trained 400+ professionals across universities and federal agencies. Built production systems at scale. Every lesson has concrete examples and exercises you can finish in under an hour.

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