Hands-on AI Class where students will learn about AI, Gen AI and Machine Learning and what are the different applications of AI. They will code AI-based projects, and learn how a computer can autonomously solve problems by itself, without any human intervention. In Level 3 class, In the third level, students will focus on the core principles of Machine Learning (ML), using industry-standard libraries such as TensorFlow, Keras, NumPy, and essential visualization tools. They will learn how machines identify patterns and make data-driven decisions through both supervised and unsupervised learning techniques. Key topics include model training, optimization, and performance evaluation. Students will build and experiment with neural networks for tasks like classification and prediction, gaining hands-on experience in developing and refining ML models. This level emphasizes a practical and intuitive approach to machine learning, preparing learners to confidently apply these techniques in real-world AI applications.