Course Overview
ROS Architecture
Master the core concepts of ROS architecture, nodes, topics and services.
Practical Development
Gain hands-on experience with ROS development through real-world projects.
AI Integration
Learn to integrate Artificial Intelligence and Machine Learning capabilities with ROS systems.
Industry Applications
Explore real-world applications and industry-standard practices in robotics.
Program Overview
Comprehensive Curriculum
An industry-focused PG Diploma covering Artificial Intelligence, Robotics, Embedded Systems, IoT, Machine Learning and Automation.
Advanced Technology
Gain practical knowledge in AI, Machine Learning, Computer Vision, Embedded Systems, ROS and intelligent robotic technologies.
Hands-on Experience
Build real-world projects through practical labs, programming, hardware development, robotics and automation applications.
The PG Diploma in AI & Robotics Engineering is an industry-focused program designed to build strong technical knowledge and practical skills in Artificial Intelligence, Robotics, Embedded Systems, IoT and Automation. The program combines theoretical learning with hands-on training to help students understand and develop intelligent systems.
The curriculum covers essential areas including Electronics, C++ and Python programming, Embedded Systems, sensors and actuators, communication protocols, IoT, Data Analysis and Visualization. Students gain practical experience in designing, programming and troubleshooting hardware and software systems.
Students also explore Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision and modern AI tools. Advanced modules introduce industrial boards, edge computing, robotics platforms and ROS 2, enabling students to develop intelligent and autonomous robotic systems.
With a strong focus on hands-on labs, mini projects and industry-oriented main projects, the program prepares students for careers in AI, Robotics, Embedded Systems, IoT and Automation. Students develop a practical portfolio and job-ready skills aligned with emerging technology industries.
32
Weeks Roadmap
8
Phases
ROS 2
Based Curriculum
1 Month
Industry / Research Internship
About the Program
PG Diploma in Robot Operating System (ROS)
Build autonomous robots. Control intelligent machines. Shape the future of robotics.
The PG Diploma in Robotics — ROS 2 based curriculum is a comprehensive, industry-aligned program designed to build deep technical expertise in modern robotics and autonomous systems. The progressive, module-based syllabus begins with strong foundations in Python programming, object-oriented design, data handling and visualization.
It then advances into ROS 2 architecture, robot modeling (URDF/XACRO), simulation with Gazebo and Isaac Sim, manipulator control using MoveIt 2, vision integration with OpenCV, and embedded deployment on Raspberry Pi and Jetson platforms. Learners further explore mobile robotics, including SLAM, localization and navigation, along with UAV systems, underwater robotics, humanoid systems and intelligent manipulation using leader–follower architectures and Vision–Language–Action models.
Why Choose This Program?
ROS 2 Core Proficiency
Nodes, topics, services, actions, lifecycle nodes, TF2, QoS tuning and custom interfaces.
Simulation to Real Hardware
URDF/XACRO modeling, Gazebo, ros2_control and Isaac Sim digital twins deployed to real robots.
Industrial Manipulation
MoveIt 2, uFactory Lite6 programming, trajectory planning and leader–follower systems.
AI Perception & Vision
OpenCV pipelines, camera calibration and object detection inside ROS 2.
Edge AI Hardware
Raspberry Pi and Jetson Nano deployment with GPU computing and CUDA basics.
Advanced Robotics Domains
Mobile robots, UAVs, underwater vehicles, humanoids and VLA-based intelligent systems.
Learning Pathway
Roadmap & Syllabus
8 phases, taught with hands-on labs and projects.
Phase 1 Python Programming for Robotics
- Python syntax, variables, data types and operators
- Conditional statements, loops and control flow
- Functions, modules and modular programming
- Lists, tuples, sets and dictionaries
- File handling and exception handling
- Object-Oriented Programming concepts
- Python applications for robotics and automation
Phase 2 Foundations of ROS & ROS 2
- Introduction to robotics and the Robot Operating System
- ROS and ROS 2 architecture
- Installing and configuring the ROS 2 environment
- Linux fundamentals and command-line tools
- ROS 2 workspace and package structure
- Building packages using Colcon
- Understanding nodes, topics and messages
Phase 3 ROS 2 Programming & Communication
- Creating ROS 2 publishers and subscribers
- Topics, messages and custom interfaces
- ROS 2 services and client-server communication
- ROS 2 actions for long-running tasks
- Parameters and configuration management
- Lifecycle nodes and Quality of Service concepts
- Debugging and monitoring ROS 2 applications
Phase 4 Mechanical Design, Robot Modeling & Simulation
- Introduction to robot mechanical design
- Robot modeling using URDF and XACRO
- Coordinate frames and TF2 transformations
- Robot visualization using RViz
- Simulation using Gazebo
- Robot control using ros2_control
- Digital twin concepts using Isaac Sim
Phase 5 Manipulators & Intelligent Manipulation
- Introduction to robotic manipulators
- Forward and inverse kinematics concepts
- Motion planning using MoveIt 2
- Trajectory planning and execution
- Manipulator programming and control
- Leader-follower robotic systems
- Intelligent manipulation applications
Phase 6 Perception & Embedded Systems
- Computer vision fundamentals for robotics
- OpenCV image processing pipelines
- Camera interfacing and calibration
- Object detection and perception systems
- Embedded robotics using Raspberry Pi
- Edge AI deployment using Jetson platforms
- GPU computing and CUDA fundamentals
Phase 7 Mobile & Advanced Robotics
- Mobile robot architecture and control
- Localization and mapping concepts
- SLAM for autonomous robots
- Navigation and path planning
- UAV and autonomous aerial systems
- Underwater and humanoid robotics concepts
- Vision-Language-Action based intelligent systems
Phase 8 Capstone Project & Internship
- Industry-oriented robotics capstone project
- Integrating ROS 2, AI, perception and hardware systems
- Simulation-to-real robot deployment
- Testing, debugging and system optimization
- Technical documentation and project presentation
- Portfolio development
- Industry or research internship experience
Skills You Will Gain
Programming & Computational Proficiency
- Strong Python programming and Object-Oriented Programming skills
- Data handling using NumPy, Pandas, files and JSON
- Debugging, exception handling and data visualization for robotics applications
ROS 2 Core Proficiency
- Working with nodes, topics, services, actions and lifecycle nodes
- Understanding TF2 coordinate systems and QoS configuration
- Creating custom interfaces and multi-node launch systems
Robot Modeling & Simulation
- Mechanical design and robot modeling using Fusion 360, URDF and XACRO
- Robot simulation using Gazebo and ros2_control
- Isaac Sim integration and simulation-to-real deployment workflows
Industrial & Intelligent Manipulation
- Robot kinematics, dynamics and PID control
- MoveIt 2 configuration and robotic manipulator programming
- Trajectory planning, leader–follower systems and intelligent manipulation
AI for Perception & Vision
- OpenCV integration and image processing
- Camera calibration, edge detection and object detection pipelines
- AI-assisted robotic perception systems using ROS 2
Localization, SLAM & Navigation
- Occupancy grid mapping and AMCL localization
- SLAM concepts and Nav2 stack integration
- Sensor fusion and autonomous robot navigation
Embedded & AI Hardware
- Raspberry Pi integration and Jetson Nano deployment
- GPU computing and CUDA performance concepts
- AI acceleration for robotics applications
Path Planning & System-Level Engineering
- A*, Dijkstra, RRT, PRM and DWA path-planning algorithms
- Autonomous execution for mobile, aerial, underwater and humanoid robots
- Hardware–software integration and full robotics system architecture
Career Paths
Core ROS & Software Roles
- ROS 2 Developer
- Robotics Software Engineer
- Robotics System Integration Engineer
Manipulation & Vision Roles
- Manipulator / Industrial Robot Engineer
- Robotics Vision Engineer
- AI Robotics Engineer
Autonomy & Field Robotics Roles
- Autonomous Navigation Engineer
- UAV / Drone Systems Engineer
- Underwater Robotics Engineer
- Research & Higher Studies in Robotics