Artificial IntelligenceSample course
AI Foundations: Machine Learning Essentials
Understand how modern AI works and build your first machine learning models in Python.
4.9 (sample rating)18 hoursBeginner3 modules · 9 lessons
Alan Clever
Founder & Lead Instructor · sample instructor
What you'll learn
- Explain how machine learning models learn from data
- Prepare and explore datasets with Python
- Train and evaluate classification and regression models
- Understand the basics of neural networks
- Recognise bias and limitations in AI systems
- Complete a portfolio-ready ML project
About this course
A practical, jargon-free introduction to artificial intelligence and machine learning. You will learn the core ideas behind supervised learning, model evaluation and neural networks, then apply them in guided Python projects.
Curriculum
Module 1: Welcome to AI
- What AI really is (and isn't)8 min
- Your Python toolkit15 min
- How models learn22 min
Module 2: Supervised learning
- Regression in practice14 min
- Classification models21 min
- Evaluating your model13 min
Module 3: Neural networks & projects
- Neural network basics20 min
- Responsible AI12 min
- Capstone project walkthrough19 min
Requirements
- Comfortable using a computer
- No prior coding required — we start from scratch