Workshop 3: Machine Learning Fundamentals

Core machine learning concepts — learning types, terminology, lifecycle, and evaluation — that underpin the Azure AI-900 certification.

1. What is Machine Learning?

Understand what Machine Learning is, why it matters, and the key distinction between supervised and unsupervised learning — the conceptual foundation for AI-900 exam domain 2.

2. ML Terminology and Model Evaluation

Master the essential ML vocabulary tested in AI-900 — features, labels, overfitting, underfitting, model evaluation metrics, and the train/validation/test split.

3. The Machine Learning Lifecycle

Understand the end-to-end Machine Learning lifecycle — from data collection to deployment — and the iterative nature of real-world ML projects.