What the course covers.
- Module 1
What is Machine Learning? The Basics Explained
Unpack what machine learning is, how it differs from traditional programming, and where it fits within artificial intelligence. Learn key terms like supervised learning, unsupervised learning, and algorithms; explained with relatable, real-life examples.
- Module 2
How Machine Learning Works: The Project Lifecycle
Understand the typical stages of a machine learning project: problem definition, data preparation, model training, evaluation, and deployment. Learn what each step involves and where business leaders fit into the process.
- Module 3
Business Use Cases: Real-World ML Applications
Explore how companies use ML to improve operations, personalise services, reduce risk, and generate insights. This module highlights examples in customer service, finance, marketing, logistics, and HR.

