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Target Audience

Intermediate learners or those who completed the 3-month course.

Objective

Master advanced robotics concepts, including AI, advanced control, and Industry 4.0 applications.

What You'll Learn

480 hours of comprehensive training
20 hours per week
Hands-on practical experience
Industry-relevant curriculum
Expert instructors
  • Advanced Control Systems (18 hours)
    • Advanced PID tuning and model predictive control (MPC).
    • Adaptive and robust control for robotics.
  • ROS for Advanced Robotics (12 hours)
    • ROS2 architecture, navigation stack, and simulation.
    • Creating custom ROS packages for complex robots.
  • Lab: ROS-based robot simulation and control (20 hours).
  • Multi-Robot Systems (10 hours)
    • Coordinating multiple robots using ROS.
    • Swarm robotics and communication protocols.
  • AI for Robotics (15 hours)
    • Machine learning basics (supervised, unsupervised, reinforcement learning).
    • Deep learning for robot perception and decision-making.
  • Advanced Computer Vision (15 hours)
    • 3D vision, SLAM (Simultaneous Localization and Mapping).
    • Object recognition and pose estimation with deep learning.
  • Lab: Implementing SLAM and vision-based navigation (20 hours).
  • Autonomous Navigation (10 hours)
    • Path planning algorithms (A*, Dijkstra, RRT).
    • Autonomous navigation in dynamic environments.
  • Industrial Robotics (15 hours)
    • Programming industrial robots (e.g., ABB, FANUC, KUKA).
    • Integration with PLCs and industrial automation systems.
  • Collaborative Robots (Cobots) (12 hours)
    • Cobot programming and safety features.
    • Human-robot collaboration in industrial settings.
  • Lab: Programming an industrial robot for tasks (e.g., welding, assembly) (23 hours).
  • Robotics System Design (15 hours)
    • Designing complex robotic systems for specific industries (e.g., healthcare, logistics).
    • Energy efficiency and sustainability in robotics.
  • Advanced Project Management (10 hours)
    • Robotics project lifecycle and risk management.
    • Compliance with standards (e.g., ISO 10218, ROS-Industrial).
  • Lab: Design and simulate a large-scale robotic system (e.g., autonomous delivery robot) (25 hours).
  • Capstone Project: End-to-end robotic system with AI, ROS, and industrial integration (20 hours).
  • Industry Case Studies and Certification Prep (10 hours)
    • Analysis of real-world robotics projects (e.g., Amazon warehouses, surgical robots).
    • Preparation for certifications (e.g., ROS certification, ABB/FANUC training).

Prerequisites

Basic programming or electronics knowledge for the 1-month course; completion of prior modules or equivalent for 3-month and 6-month courses.

Tools & Software

Arduino IDE
Python
ROS/ROS2
Gazebo
OpenCV
RobotStudio
MATLAB/Simulink.

Delivery Mode

Combination of lectures, hands-on labs, and project work.

Assessment

Weekly quizzes, lab assignments, and capstone projects.

Certification

Certificate of completion for each module; preparation for industry-recognized certifications in the 6-month course.

  • Duration 480 hours
  • Weekly 20 hours
  • Level All Levels

Available Curricula

Introduction to Robotics - 1-month

Duration: 1-month

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Intermediate Robotics - 3 Month

Duration: 3-month

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Advanced Robotics - 6 month

Duration: 6-month

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Course Highlights

  • Expert instructors with industry experience
  • Hands-on projects and real-world applications
  • Flexible learning schedule
  • Placement assistance