This Class 11 Artificial Intelligence course is designed for students who want to understand how AI works in the real world and how it is shaping careers, industries, and future technologies. The course follows a structured, concept-to-application approach, covering fundamentals of Artificial Intelligence, Python programming, data literacy, machine learning, linguistics, and AI ethics, as outlined in the curriculum.
The instructor brings 10+ years of hands-on experience in electronics, robotics, and AI projects, and is currently working as an Engineer at the Centre for Artificial Intelligence (CAI), IIIT Delhi. In addition, the instructor has worked as an R&D Robotics Engineer at GreyOrange, contributing to real-world automation and AI-driven robotic systems. This ensures students learn not just theory, but also how AI is applied in industry and research. (Students and parents are encouraged to check the instructor’s LinkedIn profile for detailed professional experience.)
The course begins with “AI for Everyone”, helping students understand AI concepts without fear, followed by “Unlocking Your Future in AI”, where career paths and real-life AI applications are discussed. Students then learn Python programming, which forms the backbone of AI development. The curriculum progresses to data literacy, teaching students how data is collected, cleaned, analyzed, and interpreted. Core concepts of machine learning algorithms are introduced in a simplified, intuitive manner, followed by exposure to linguistics, natural language processing, and computer science concepts. The course concludes with AI ethics and values, ensuring students understand responsible and ethical use of AI.
A guided capstone project is included to help students apply their learning in a practical project, building strong foundations for Class 12, competitive exams, and future engineering or AI-related studies.
Who is this class for?
Class 11 students curious about AI, data science, coding, and future technology careers.
What should students bring?
A basic understanding of computers, a notebook, and curiosity to learn. No prior AI experience is required.
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