Covers autonomous navigation, SLAM, robotics software architecture, AI integration, and real-world industrial robotics applications.
Mathematics for robotics including linear algebra, probability, and optimization.
Advanced programming concepts for robotics software and system-level development.
ROS 2 concepts covering communication, simulation, navigation, and deployment.
Robotics control theory including feedback, stability, and motion control.
Deep learning and machine learning fundamentals for robotics applications.
Electronic circuits and mechanical design principles for robotic systems.
Autonomous robotics covering SLAM, path planning, perception, and navigation.
Hands-on robotics projects solving real-world industrial and research problems

Focus on fundamentals and build a strong base