RoboPremier [Level – Advanced] is designed for learners who want to push the boundaries of robotics. This course goes beyond the basics, introducing Artificial Intelligence (AI), Machine Learning (ML), computer vision, and IoT integration to build robots that can think, learn, and act autonomously.

Through hands-on projects, you’ll train robots to recognize patterns, navigate environments using path-planning algorithms, and connect with smart systems through IoT. With modules covering autonomous navigation, real-world sensor integration, and industrial automation, you’ll gain skills to innovate in fields like drones, autonomous vehicles, and smart factories.

By the end of this course, you’ll not only understand advanced robotics concepts but also have the practical expertise to design and program intelligent robotic systems for modern challenges.

Learning Outcomes !

• Apply AI and ML algorithms in robotics.
• Program autonomous robots with decision-making abilities.
• Use computer vision and sensor fusion for navigation.
• Design and implement *path planning (A, Dijkstra, RRT)**.
• Build self-learning robots with adaptive intelligence.
• Connect robots to IoT networks for smart communication.
• Implement robotics in real-world applications (drones, autonomous cars, industry)

Prerequisites !

This course is best suited for learners who have:

• Intermediate understanding of robotics fundamentals (sensors, actuators, circuits).
• Basic coding knowledge in Python and/or C++.
• Familiarity with microcontrollers (Arduino, Raspberry Pi) or robotics kits.
• Prior exposure to introductory robotics or STEM learning.

[Not for absolute beginners – designed for students who already have some robotics background and want to advance to AI-powered systems.]

Course Details :

• Format: Instructor-led + Hands-on Projects + Final Capstone
• Mode: Online / In-person (Hybrid possible)
• Assessment: Quizzes, Mini-Projects, Capstone Presentation
• Certification: RoboPremier Advanced Robotics Specialist.