AI Robotics Engineering Bootcamp
Course overview:
This hands-on 8-week bootcamp introduces students to the foundations of Artificial Intelligence, Robotics, Linux, Python programming, ROS 2, sensors, actuators, computer vision, and autonomous robot development. Students will progress from assembling a mobile robot to programming intelligent behaviors that enable the robot to move, perceive its environment, make decisions, and perform useful real-world tasks.
By the end of the program, participants will have built and programmed a fully functional AI-powered mobile robot capable of navigation, obstacle avoidance, object detection, tracking, and autonomous operation.
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Duration: 8 Weeks
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Schedule: 2 sessions per week
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Session Length: 3 hours per session
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Total Instruction Time: 48 hours
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Delivery: Hands-on Lab + Project-Based Learning
Course Content
🔹 Week 1: Introduction to Robotics and Linux
Topics:
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Introduction to Robotics and AI
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Types of Robots and Applications
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Components of a Robotic System
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Sensors, Actuators, Controllers, and Power Systems
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Linux Operating System Fundamentals
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Terminal Commands and File Management
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Remote Access Using SSH
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Introduction to Git and Development Tools
🔹 Week 2: Python Programming for Robotics
Topics:
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Python Syntax and Programming Concepts
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Variables, Data Types, and Operators
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Conditional Statements and Loops
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Functions and Modular Programming
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Working with Files and Libraries
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Introduction to Robotics Programming Logic
🔹 Week 3: Robot Assembly and Electronics Integration
Topics:
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Electrical Fundamentals for Robotics
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Voltage, Current, Resistance, and Power
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Breadboards and Circuit Design
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DC Motors and Motor Drivers
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Battery Systems and Power Management
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Robot Chassis Construction
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🔹 Week 4: Motion Control and Robot Navigation
Topics:
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Principles of Mobile Robot Locomotion
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PWM Motor Speed Control
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Differential Drive Systems
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Movement Commands and Navigation Logic
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Motion Planning Basics​
🔹 Week 5: Sensors and Environmental Awareness
Topics:
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Sensor Technologies in Robotics
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Ultrasonic Distance Measurement
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Line Following Sensors
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Encoders and Position Tracking
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Inertial Measurement Units (IMUs)
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Sensor Data Processing




🔹 Week 6: ROS 2 for Robot Communication and Control
Topics:
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Introduction to ROS 2 Architecture
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Nodes, Topics, Services, and Actions
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ROS 2 Workspaces and Packages
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Publisher and Subscriber Models
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Robot Communication Frameworks
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Hardware Integration with ROS 2
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🔹 Week 7: Artificial Intelligence and Computer Vision
Topics:
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Fundamentals of Artificial Intelligence
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Computer Vision Concepts
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OpenCV for Image Processing
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Object Detection and Recognition
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YOLO-Based Real-Time Vision Systems
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Edge AI Deployment
🔹 Week 8: Autonomous Robotics and Capstone Project
Topics:
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Fundamentals of Artificial Intelligence
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Computer Vision Concepts
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OpenCV for Image Processing
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Object Detection and Recognition
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YOLO-Based Real-Time Vision Systems
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Edge AI Deployment
Capstone Project Options
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Autonomous Security Patrol Robot
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Smart Delivery Robot
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Human-Following Robot
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Voice-Controlled Assistant Robot
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AI Inspection and Monitoring Robot
Staffing Support​
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Resume Preparation
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Mock Interview Preparation
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Phone Interview Preparation
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Face to Face Interview Preparation
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Project/Technology Preparation
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Internship with internal project work
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Externship with client project work
Our Salient Features:
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Hands-on Labs and Homework
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Group discussion and Case Study
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Course Project work
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Regular Quiz / Exam
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Regular support beyond the classroom
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Students can re-take the class at no cost
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Dedicated conf. rooms for group project work
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Live streaming for the remote students
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Video recording capability to catch up the missed class
