→What is AI and how has it evolved?
→AI in healthcare, finance, security, and automation.
→Types of AI: Narrow AI, General AI, Super AI
→Responsible AI use and ethics in AI

→Python programming essentials for AI
→Data types, loops, functions, and object-oriented programming
→Using NumPy, Pandas, Matplotlib for data manipulation
→Hands-on: Writing and visualizing simple AI algorithms

→What is Machine Learning and how AI learns from data
→Supervised, unsupervised, and reinforcement learning
→Model training for pattern recognition and predictions
→Hands-on with Scikit-Learn for ML basics

→Understanding how AI sees and analyzes images
→Basics of image classification, detection, and segmentation
→Using OpenCV and TensorFlow/Keras for vision projects
→Project: AI-powered object recognition & face detection

→How AI understands human language
→Speech recognition, text processing, and sentiment detection
→Introduction to NLTK, SpaCy, and chatbot frameworks
→Project: Developing a real-world AI chatbot

→Smart automation using AI
→AI in fraud detection, home automation, and weather forecasting
→Integrating AI with IoT for intelligent systems
→Ethical AI in automation and decision-making

→Apply learned AI & ML skills to solve real-world challenges
→Students develop custom AI projects individually or in teams
→Final AI Expo to present projects to industry mentors & peers