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Courses
CBSE Class 10 Artificial Intelligence introduces students to the fundamentals of AI, including data handling, machine learning basics, and practical applications. It equips learners with essential skills in coding, logic building, and ethical use of AI in real life.
This course explores the intersection of artificial intelligence (AI) and integrated circuit design, focusing on principles, techniques, and challenges in creating circuits for AI applications. Topics include neuromorphic computing, hardware accelerators, parallel processing architectures, and AI circuit implementation. Students will gain skills through theory, hands-on projects, and exposure to cutting-edge developments in AI circuit design.
The CBSE Class 9 Artificial Intelligence course introduces students to the fundamentals of AI, its real-world applications, and the AI project cycle . It aims to make students "AI-ready" through practical activities and projects, exploring topics like data literacy, Generative AI, and basic Python programming.
The CBSE Class 12th Artificial Intelligence (AI) course focuses on developing intelligent machines that can learn, adapt, and solve problems like humans . It covers Python programming, data science, machine learning, and culminates in a practical Capstone Project where students apply their knowledge to solve real-world problems.
Class 11th AI (Artificial Intelligence) introduces students to the concepts of intelligent machines, focusing on how computers can mimic human cognitive functions like learning and problem-solving. It covers foundational AI principles, methodologies, and applications, preparing students for further study in this rapidly evolving field.
This course provides a comprehensive introduction to Artificial Intelligence, covering core concepts such as machine learning, neural networks, natural language processing, and computer vision. Students will gain hands-on experience with real-world AI tools and techniques, preparing them for careers in technology and data-driven industries.
Master the art of communicating with AI through effective prompt design and optimization techniques. This course equips you with practical skills to get accurate, creative, and reliable outputs from large language models.
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