Smart surveillance counter
Built end to end, reviewed by a mentor and added to your portfolio.
IoT course
AI + IoT (Edge AI)
Put intelligence on the device: run vision and anomaly-detection models on edge hardware in real time.
3 monthsIntermediateClassroom + Lab
Overview
Course at a glance
Duration3 months
LevelIntermediate
ModeClassroom + Lab
Career rolesEdge AI Engineer, AI + IoT Engineer
Curriculum
What you will learn
Module by module.
Module 01Edge AI basics
Why on-device AI, latency, power and privacy.
Module 02Model optimisation
Quantisation, TensorFlow Lite and ONNX.
Module 03Vision on the edge
Object detection on Raspberry Pi and cameras.
Module 04Sensor intelligence
Time-series anomaly detection on device.
Module 05Edge to cloud
Syncing results, dashboards and remote updates.
Learning outcomes
- Deploy lightweight models to edge devices
- Run real-time camera inference
- Detect anomalies in sensor streams
- Combine cloud and edge in one system
Tools & technologies
Raspberry PiTensorFlow LiteOpenCVMQTTPython
Projects
Projects you will build
Predictive fan failure alert
Built end to end, reviewed by a mentor and added to your portfolio.
Plant health camera
Built end to end, reviewed by a mentor and added to your portfolio.
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