Introduction

AI and machine learning overview

Types of machine learning

Popular AI and ML tools

AI applications and use cases

Data types and sources

Exploratory data analysis (EDA)

Data preprocessing techniques

Feature engineering

Supervised learning overview

Unsupervised learning overview

Reinforcement learning overview

Deep learning overview: Part 1

Deep learning overview: Part 2

Model evaluation and validation

AI project lifecycle

AI ethics and bias: Part 1

AI ethics and bias: Part 2

Bring it all together