AI Skillset Course
Edge AI for Microcontrollers image
Current
Intermediate

Edge AI for Microcontrollers

Coursera · Edge Impulse · Updated March 2026

Platform rating

4.4/5

Champ rating

8.2/10

Duration

1-3 months

Classes

60

Deploy machine learning on edge devices and microcontrollers. Learn computer vision, anomaly detection, and MLOps for embedded AI.

What you'll get

Deploy ML models on edge devices and microcontrollers
Run computer vision on embedded hardware
Build edge-based anomaly detection systems

Fit

Best for

Autonomy Engineers
Self-Driving Developers
IoT Engineers
Systems Engineers

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Basic ML knowledge

Pricing

Subscription

Certification

Certificate

Edge AI
TinyML
Microcontrollers
Computer Vision
Anomaly Detection
Go to Course

Alternatives to Edge AI for Microcontrollers

Current

AI on Jetson: Building Real-Time AI Applications

NVIDIA Deep Learning Institute (DLI) · NVIDIA

4.7
8.7/10
8 hours self-paced

Build real-time AI applications on NVIDIA Jetson edge devices. Cover deployment, optimization, and computer vision at the edge.

Free
View
Current

Machine Learning at the Edge on Arm

edX · Arm Education

4.7
8.7/10
6 weeks

Deploy ML models on Arm-based edge devices. Learn TensorFlow Lite, model optimization, and real-time inference on embedded systems.

Free (verified: $149)
View
Current

Edge AI Fundamentals

Coursera · Edge Impulse

4.4
8.2/10
1-4 weeks

Learn the fundamentals of deploying AI on edge devices including model optimization, MLOps for edge, and IoT integration.

Subscription
View
Current

TinyML Specialization

Coursera · Harvard University

4.4
8.2/10
3-4 months

Deploy machine learning on microcontrollers from Harvard University covering TinyML, edge inference, and ML model deployment on resource-constrained devices.

Subscription
View