AI lessons
3 lessons in this track. Work through them in order — each builds on the last.
Lesson 150 minBeginner
Intro to Machine Learning
Understand datasets, features and training loops without the maths overload — and run your first model.
Steps
- 1Learn the difference between supervised and unsupervised learning.
- 2Load a small labeled dataset.
- 3Train a simple classifier and check accuracy.
- 4Visualise what the model learned.
Lesson 265 minIntermediate
Computer Vision Basics
Capture images, preprocess them and train an image classifier that runs on-device.
Steps
- 1Capture a balanced dataset of images.
- 2Resize and normalise images for training.
- 3Train a lightweight CNN classifier.
- 4Export and run inference on the edge board.
Prerequisites: Intro to Machine Learning
Lesson 355 minIntermediate
Speech Recognition Basics
Capture audio, detect a wake word and map spoken commands to actions on your device.
Steps
- 1Record short audio clips for each command.
- 2Extract simple audio features.
- 3Train a wake-word / command classifier.
- 4Trigger device actions from recognised commands.
Prerequisites: Intro to Machine Learning