? 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