Course:
Robotics, AI & Autonomous Systems
Duration:
6 Months
Target: Aspiring robotics engineers looking for full-stack capability, covering hardware design, smart automation, and AI integration.
1. Curriculum Overview
Module 1: Core Embedded Systems & Firmware Engineering
- Foundations of microcontroller programming, advanced peripheral interfacing, and sensor calibration.
- Data communication protocols and robust error handling in code.
Module 2: 3D Design, Mechanical Prototyping & Actuators
- Introduction to Computer-Aided Design (CAD) for structural robotic parts.
- Design optimization for 3D printing and digital manufacturing.
- Control mechanics for precise motion: Servo, Stepper, and DC gear motors.
Module 3: Advanced IoT & Industrial Automation
- Industrial wireless networks, local server deployment, and data logging.
- Building secure, scalable IoT architecture with custom web interfaces.
Module 4: Edge AI, Computer Vision & Autonomous Systems
- Integrating Single Board Computers (SBCs) for heavy computational processing.
- Introduction to Computer Vision: Object tracking, color detection, and face recognition using cameras.
- Deploying lightweight Machine Learning models at the edge for smart decision-making.
- Kinematics and navigation logic for autonomous mobile robots.
2. What Students Get (Deliverables)
1. Premium Robotics & AI Kit
A comprehensive industrial-grade hardware pack including a multi-core microcontroller, an advanced Single Board Computer (SBC) for edge processing, high-torque motors, a camera module, and a specialized sensor array.
2. Software & CAD Workspace Access
Shared access to premium design environments, specialized simulation software, and proprietary production templates.
3. Lab & Manufacturing Exposure
Hands-on experience with digital manufacturing tools (including 3D printers and testing equipment) during lab hours.
3. Key Course Outcomes
- Full-stack capability to manage a robotics project from CAD concept to structural fabrication and final firmware deployment.
- Practical expertise combining physical hardware with intelligent computer vision and AI algorithms.
- A professional-grade portfolio featuring 4 micro-projects and 1 major autonomous AI-driven robotics thesis project.
