Learn to develop and manage ROS-based robotic systems by handling node communication, system integration and robotic workflows.

Learn to implement real-time equipment monitoring by integrating IoT controllers, industrial sensors and data dashboards to improve operational decisions.

Learn to build and deploy AI vision systems for real-time monitoring tasks such as inspection, security and object detection using practical deep learning tools.

Learn to build and program Raspberry Pi–based systems for IoT applications, from hardware interfacing to basic automation and networking.

Learn to build functional IoT prototypes by programming Arduino, integrating sensors and sending real-time data to cloud dashboards.

Learn to deploy IoT-based smart agriculture systems to monitor crops and environmental conditions for data-driven farming decisions.

Learn to program and operate SCARA robots for high-speed industrial tasks such as pick-and-place and automated assembly.

Learn to program and control linear robot systems for high-precision industrial tasks such as gantry automation, CNC and material handling.

Learn to integrate AI with IoT systems by deploying machine learning models on edge devices for real-time, low-latency decision making.

Learn to simulate and control robot arm movement, kinematics and pick-and-place tasks in a virtual environment before real deployment.

Learn to transform raw data into interactive dashboards and actionable insights using Power BI for better business decisions