What You'll Learn
Explain the difference between AI, ML, and deep learning
Describe supervised and unsupervised learning
Understand what training and prediction mean
Identify where ML is and isn't appropriate
Course Syllabus
5 lessons · ~105 minutes01
What Is AI? What Is ML?
20 min
Concept
02
Supervised vs Unsupervised Learning
25 min
Concept
03
How Models Are Trained
25 min
Concept
04
Overfitting & Generalisation
20 min
Concept
05
Real-World AI Applications
15 min
Concept
Prerequisites
- Introduction to Coding (recommended)
Tools Used
No setup required