Gain a foundational understanding of how artificial intelligence (AI) and robotics converge to create intelligent systems. This segment introduces the core concepts and real-world applications.

  • Machine Learning in Robotics: How It Works Explore how machine learning enables robots to recognize patterns, adapt to environments, and make decisions. Examples include object detection, speech recognition, and navigation.
  • Types of AI Used in Robotics: Different AI models used in robotics - supervised, unsupervised, and reinforcement learning - and where each is best applied in robotic systems.
  • Sensors, Perception & Decision-Making: Understand how robots perceive their surroundings through AI-powered sensors (vision, LIDAR, touch) and convert that data into intelligent actions.
  • Real-World Applications of AI-Enabled Robots: From self-driving vehicles and healthcare robots to automated warehouses and drones—see how AI-driven robotics is revolutionizing industries.
  • Building an AI-Robotic System Tools & Platforms: Overview of popular platforms like ROS (Robot Operating System), TensorFlow, OpenCV, and Python libraries used for integrating AI into robotics.
  • Challenges in AI Integration: Real-world challenges such as computational limitations, training data needs, ethical concerns, and safety in AI-powered robotic systems.
  • Career Pathways in AI & Robotics: Guidance on educational routes, certifications, and job roles in AI-robotics, from ML engineer to robotic software developer.
  • Live Demo / Case Study: A real-time simulation or a video walkthrough of an AI-based robot in action—like object tracking or autonomous movement.

Register Now to take part in the enlightening class!

Registration Form

Please fill the below fields for registration proccess

Registration Open. Last date to apply is June 07th, 2025.