Session 1: Introduction to AI and Machine Learning

Session 2: Python Basics for AI & ML

Session 3: Data Pre-processing and Feature Engineering

Session 4: Introduction to Machine Learning

Session 5: Supervised Learning – Regression Models

Session 6: Supervised Learning – Classification Models

Session 7: Decision Trees and Random Forests

Session 8: Support Vector Machines (SVM)

Session 9: Ensemble Learning – Boosting & Bagging

Session 10: Clustering – Unsupervised Learning

Session 11: Neural Networks Basics

Session 12: Deep Learning with TensorFlow