✅ Introduction to AI & Machine Learning: What is AI, ML, and how it’s changing the world
✅ Python Basics for AI: Learn Python fundamentals—variables, loops, functions, and logic
✅ Working with Data: Load, clean, and analyze datasets using pandas and NumPy
✅ Data Visualization: Use matplotlib and seaborn to tell stories with data
✅ Core Machine Learning Concepts: Learn supervised vs unsupervised learning
✅ Popular ML Algorithms: Explore decision trees, k-NN, and linear regression
✅ Model Building in Scikit-learn: Train, test, and evaluate your first ML models
✅ Hands-on with Real Datasets: Work on beginner-friendly datasets (Titanic, Iris, etc.)
✅ Intro to Neural Networks: Get a peek into deep learning with simple neural nets
✅ Ethics in AI: Understand fairness, bias, and responsible AI development
✅ Mini Projects: Predict outcomes, classify images, or detect fake news
✅ Capstone Project: Build and present your own end-to-end AI-powered solution
✅ Collaboration & Code Sharing: Work in teams using Jupyter Notebooks and GitHub
✅ AI Showcase & Feedback: Present projects and receive mentorship feedback
✅ No Experience Needed: Designed for beginners with step-by-step guidance