1
Introduction to AI
- • What is Artificial Intelligence?
- • History and evolution of AI
- • Types of AI systems
- • AI applications in real world
2
Python for AI
- • Python basics for AI
- • NumPy and Pandas
- • Data manipulation
- • Libraries for AI development
3
Machine Learning Basics
- • Introduction to Machine Learning
- • Supervised vs Unsupervised Learning
- • Training and testing data
- • Model evaluation
4
Linear Regression & Classification
- • Linear regression fundamentals
- • Logistic regression
- • Classification algorithms
- • Model performance metrics
What You'll Learn
AI Basics
Machine Learning Intro
Neural Networks
Real Applications