This 108-hour course introduces artificial intelligence through blending interactive activities, stories, games, and Python coding. Students explore AI concepts from basic robotics to real-world applications, mastering coding, building intelligent systems, and tackling challenges while fostering creativity, critical thinking, and ethical awareness. Each 45-minute lesson combines theory with hands-on projects and collaborative design to inspire the next generation of AI innovators.

This 108-hour course introduces artificial intelligence through a blend of theoretical concepts and hands-on activities. Students will explore AI's evolution, machine learning fundamentals, neural networks, and advanced AI concepts, while building and evaluating intelligent applications using accessible Python tools. The curriculum emphasizes practical application, ethical considerations, and collaborative projects with real-world datasets, preparing students to become responsible AI innovators.

This 72-hour course focuses on advanced concepts without requiring advanced mathematics or computing resources. Students will explore machine learning techniques, deep learning architectures, and sophisticated algorithms, working with complex datasets using accessible tools. Through hands-on activities and discussions, they will develop skills to design intelligent agents capable of perceiving, reasoning, and acting in real-world projects.

This 72-hour course leverages single-variable calculus, linear algebra, and probability to explore AI's mathematical foundations, emphasizing the "why" behind algorithms through project-based learning. Students will implement core AI concepts (e.g., gradient descent, neural networks, clustering) using Python libraries like NumPy, SciPy, Pandas, Matplotlib, scikit-learn, and TensorFlow/PyTorch on standard laptops. Through lectures, coding, and a final project, students will derive mathematical principles, code algorithms, and analyze behavior, with assessments.