Bridge the gap between artificial intelligence and robotics through hands-on learning. Our comprehensive program combines theoretical foundations with practical implementation, preparing you for the rapidly evolving landscape of intelligent automation.
We've designed this program after working with over 200 robotics teams across India. The curriculum reflects real challenges we've encountered in manufacturing, healthcare, and service robotics. You'll work with the same tools and methodologies that drive innovation at companies like Mahindra, Tata Technologies, and emerging robotics startups in Bangalore.
Choose your focus area based on career interests and industry demand. Each track includes core AI fundamentals plus specialized applications.
Focus on industrial automation, quality control systems, and collaborative robots. Work with actual production line scenarios from our manufacturing partners.
Surgical assistance, rehabilitation robotics, and patient care automation. Includes partnerships with medical device companies and hospitals.
Self-driving vehicles, drones, and mobile robots. Emphasis on navigation, path planning, and environmental interaction.
Personal assistants, hospitality robots, and customer service automation. Focus on natural interaction and service delivery.
Spent eight years developing autonomous vehicle systems at Tesla before returning to India. Now leads robotics initiatives at a major automotive manufacturer while teaching our autonomous systems track. His experience bridges Silicon Valley innovation with Indian manufacturing realities.
Published over 40 papers on machine learning applications in robotics. Her research lab has developed AI systems used in manufacturing plants across Karnataka. She brings both academic rigor and practical implementation experience to our core AI curriculum.
Mathematics, programming foundations, basic robotics principles, and introduction to machine learning. Hands-on work with simple robots and AI frameworks.
Computer vision integration, sensor fusion, control systems, and neural network implementation. Team projects building functional AI-powered robots.
Focus on chosen specialization with industry mentors. Real-world project assignments from partner companies. Advanced techniques and domain expertise.
Six-month project with industry partner solving real challenges. Present results to company leadership and potential employers. Portfolio development and career preparation.