Class 12 - Artificial Intelligence

This Class 12 Artificial Intelligence course is designed for students who want to move beyond fundamentals and gain advanced, application-oriented knowledge of AI, data science, machine learning, and modern AI systems. The course follows a structured syllabus-based progression, aligned with the official curriculum, and prepares students for higher studies, competitive exams, and future careers in technology.

The course is taught by an instructor with 10+ years of hands-on experience in electronics, robotics, and AI-driven systems, currently working as an Engineer at the Centre for Artificial Intelligence (CAI), IIIT Delhi. The instructor has also worked as an R&D Robotics Engineer at GreyOrange, contributing to real-world automation, computer vision, and intelligent systems. This strong industry and research background ensures students learn how AI is actually built, deployed, and used in practice. (Parents and students are encouraged to check the instructor’s LinkedIn profile for detailed professional experience.)

The syllabus begins with Python Programming–II, strengthening programming concepts essential for AI and data science. Students then learn the Data Science Methodology, applying an analytical approach to real-world problems and capstone projects. The unit “Making Machines See” introduces computer vision concepts, helping students understand how machines interpret images and visual data.

Students gain hands-on exposure to AI using the Orange Data Mining tool, learning visual workflows for machine learning without heavy coding, followed by Big Data and Data Analytics, where large-scale data handling and insights are discussed. Core concepts of neural networks are explained in an intuitive manner, forming the foundation of deep learning. The course also introduces Generative AI, helping students understand modern AI systems behind chatbots, image generation, and content creation. Finally, Data Storytelling teaches students how to present insights clearly and responsibly using data.

A capstone-oriented learning approach ensures students apply theory to real datasets and practical AI problems.

Who is this class for?
Class 12 students interested in AI, data science, machine learning, computer vision, or future careers in engineering, research, and technology.

What should students bring?
Basic Python knowledge, a notebook, and curiosity to explore real-world AI applications. No prior advanced AI experience is required.