AI fundamentals
Spootyfi learning pathway · Beginner to advanced
Ages 16+ · English · 6 suggested study hours · 3 levels
Learn core AI concepts: machine learning, neural networks, language models, computer vision and evaluation.
- Distinguish AI subfields
- Explain training and inference
- Evaluate model behaviour
Beginner · Lesson 1 of 3
AI, ML and deep learning
AI is the broad field. Machine learning learns patterns from data. Deep learning uses multi-layer neural networks.
Practical activity
Draw AI containing ML containing deep learning.
Beginner · Lesson 2 of 3
Training and inference
Training adjusts model parameters using data. Inference uses the trained model to produce outputs for new inputs.
Practical activity
Separate training and inference examples.
Beginner · Lesson 3 of 3
Types of tasks
Classification predicts categories, regression predicts numbers and clustering groups similar unlabeled examples.
Practical activity
Classify house-price prediction as regression.
Reference desk
- Google Machine Learning Crash Course concepts
- Microsoft Learn AI fundamentals concepts
- NIST AI RMF
Original Spootyfi lessons and exercises; reference materials are not reproduced. Not affiliated with or endorsed by the reference providers. Course text is English; translations and expert editorial review are pending. Illustrations are conceptual.