Design, program & control intelligent robots and autonomous systems.
Learn robotics engineering from perception to control — Python & C++ embedded programming, sensor integration, motor actuators, Robot Operating System (ROS 2), computer vision, and autonomous navigation.
Get Course Syllabus & Fee Details
How You'll Progress Through This Program
Foundations & Syntax
Understand core concepts, architecture patterns, and algorithmic thinking.
Hands-on Exercises
Construct isolated modules, APIs, pipelines, and component units in live labs.
Integration & DB
Tie together databases, third-party APIs, authentication, and state stores.
Docker & Cloud
Package code into production containers with automated test suites.
Portfolio Capstone
Publish complete codebases with clean Git history for technical interviews.
A curriculum built around real engineering
Robotics Fundamentals & Embedded Programming
Embedded C++ & Python, microcontrollers (Arduino/ESP32/Raspberry Pi), GPIO, digital/analog I/O, and PWM.
What You Will Learn
- Robotics architecture: sensors, actuators, controllers, and communication buses (UART, I2C, SPI)
- Embedded C++ programming: memory management, pointers, registers, and interrupts
- Microcontroller interfacing: GPIO pins, analog-to-digital converters (ADC), and PWM signals
- Actuator control: DC motors, servo motors, stepper motors, and H-bridge motor drivers
- Sensor reading: ultrasonic, IMU (accelerometer/gyroscope), infrared, and encoders
Build a PID-controlled motor speed and position regulation system with encoder feedback and ESP32.
How the engineering stack connects
You won't learn isolated tools. You'll understand how databases, APIs, client interfaces, and cloud deployments operate as a unified system.
ROS 2 (Humble / Iron)
Industry-standard open-source robotics middleware for distributed robot control
Python & C++
Primary languages for high-level algorithm logic and low-level embedded control
OpenCV
Real-time computer vision library for visual perception and camera tracking
Gazebo
3D physics simulator for testing robot models and sensor configurations
Arduino & ESP32
Embedded hardware platforms for low-level sensor reading and actuator control
Raspberry Pi
Embedded Linux compute for executing ROS 2 nodes and computer vision
LiDAR & Depth Cameras
3D spatial perception sensors for SLAM mapping and autonomous obstacle avoidance
URDF & RViz
Robot modeling format and 3D sensor data visualization tool
Build. Deploy. Prove.
Every project you complete at AIRA follows the exact engineering workflows expected in top tech organizations.
Clean Git & Test Suites
Feature branch workflows, automated unit tests with pytest, strict linting, and meaningful commit messages.
Containerized Environments
Multi-stage Dockerfiles and Docker Compose files ensuring zero environment mismatches between local and cloud.
Live Cloud Deployments
Automated continuous deployment to cloud infrastructure providing live demonstration URLs for interviewers.
Capstone projects you will ship
Concrete codebases solving authentic technical requirements.
Autonomous Mobile Robot (AMR) with LiDAR SLAM
Differential-drive autonomous robot mapping indoor environments with LiDAR and navigating around dynamic obstacles.
Costmap layer integration with dynamic obstacle footprint recalculation.
Vision-Guided 4-DOF Robotic Arm Sorting System
Articulated robotic arm integrating computer vision to detect, classify, and sort industrial components into bins.
Closed-loop visual servoing aligning gripper end-effector coordinates with detected centroid.
Self-Balancing Inverted Pendulum Robot
Two-wheeled dynamic robot maintaining vertical equilibrium using IMU sensor fusion and real-time PID control.
Complementary Kalman sensor fusion filtering out high-frequency accelerometer noise.
Target technical roles
Robotics Software Engineer
Develops ROS 2 control nodes, perception pipelines, and autonomous navigation algorithms.
Embedded Systems & IoT Engineer
Programs microcontrollers, sensor interfaces, and communication protocols for hardware.
Automation & Control Engineer
Designs industrial robotic manipulators, PLC integration, and automated assembly cells.
All-Inclusive Program Fee
Complete industry curriculum, live 1:1 mentorship, capstone project evaluations, and placement support.
Robotics & Autonomous Systems
3 Months structured curriculum with all project labs & mentorship.