This comprehensive 12-month program offers an in-depth exploration of Robotics and the Internet of Things (IoT), building from foundational principles to advanced applications and integration.

Program Overview:

Duration: 12 Months

Format: Online / Offline (Hybrid Mode) (Self-paced with live sessions and mentorship)

Target Audience: Beginners with a strong interest in Robotics and IOT, professionals looking to transition into automation, and anyone interested in building a career in automation.

Classes: 2 Classes / Week

Class Duration: 2 Hours / Class

Month 1-2: IoT Foundations & Embedded Programming

• IoT Basics: Architecture, protocols (HTTP, MQTT), applications.

• Electronics: Circuits, components, soldering, power management.

• Microcontrollers: Arduino/ESP32 programming (C++/Python), digital/analog I/O, interrupts.

• Sensors & Actuators: Interfacing various sensors (temp, humidity, motion) and actuators (relays, motors).

• Outcome: Build and program basic IoT sensor nodes.

Month 3-4: IoT Connectivity & Cloud Integration

• Wireless Protocols: Deep dive into Wi-Fi, Bluetooth Low Energy (BLE), LoRa, cellular IoT.

• IoT Cloud Platforms: AWS IoT Core, Google Cloud IoT, Azure IoT Hub – device management, data ingestion, rules engines.

• Data Visualization: Creating dashboards for IoT data.

• Edge Computing: Introduction to processing data closer to the source.

• Outcome: Connect and manage IoT devices on cloud platforms, visualize real-time data.

Month 5-6: Robotics Fundamentals & Control

• Robot Kinematics: Forward and inverse kinematics for robotic arms (basic).

• Robot Mechanics: Chassis design, motor types (DC, servo, stepper), gear ratios, motor drivers.

• Control Systems: PID control, open-loop vs. closed-loop systems.

• Mobile Robotics: Odometry, differential drive, wheel encoders.

• Outcome: Assemble and control a mobile robot, understand basic robotic arm movement.

Month 7-8: Robot Sensing & Navigation

• Advanced Sensors: Lidar, ultrasonic, IR, IMUs, encoders for precise navigation.

• Localization & Mapping: SLAM (Simultaneous Localization and Mapping) concepts.

• Path Planning: Algorithms for obstacle avoidance and goal-oriented navigation.

• Computer Vision Basics: Introduction to OpenCV for object detection/tracking (simple examples).

• Outcome: Program robots for autonomous navigation and basic environmental perception.

Month 9-10: IoT-Robot Convergence & Automation

• Integrated Systems: Designing architectures where IoT sensors trigger robot actions.

• Remote Control & Monitoring: Building web/mobile interfaces for real-time robot control and data feedback via IoT.

• Fleet Management: Concepts for managing multiple IoT-enabled robots.

• Data Analytics for IoT/Robotics: Applying basic data analysis to optimize system performance.

• Outcome: Develop sophisticated IoT-robot systems for remote operation and data-driven automation.

Month 11-12: Advanced Topics, AI & Capstone Project

• Robot Operating System (ROS): Introduction to ROS for complex robot development.

• Machine Learning for Robotics/IoT: Reinforcement learning concepts, predictive maintenance, anomaly detection.

• Security & Ethics: Advanced topics in device security, data privacy, and responsible AI in robotics.

• Capstone Project: Design, build, and demonstrate a complex, integrated IoT and Robotics solution addressing a real-world problem.

• Outcome: Master advanced concepts, build a significant portfolio project, and understand industry best practices.

This program emphasizes hands-on projects and practical implementation, preparing learners for cutting-edge roles in the rapidly evolving fields of robotics and IoT.