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Course Highlights

  • Covers Mechanical Robotics, CAD, Electronics, AI/ML, and ROS2 in one programme
  • Learn SolidWorks, ANSYS, Python, Arduino, KiCad, OpenCV, and ROS2
  • Build real projects in robot kinematics, PCB design, AI models, and robot simulation
  • Includes live mentor-led training, doubt sessions, and LMS access with recordings
  • Get resume building, mock interviews, and internship/job support

  • Skill Type

  • Course Duration

  • Domain

  • GOI Incentive applicable

  • Course Category

  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

  • Content Alignment Type

  • NOS Details

  • Mode of Delivery

Course Details

Learning Objectives

What will you learn in the Roboai Course?

Complete ecosystem of Industrial Robotics, starting from mechanical foundations to advanced AI and ROS2 robotics system development. By the end of the programme, you will be able to:

  • Understand robotic mechanisms, kinematics, dynamics, and motion
  • Design industrial components through CAD, simulations, and assemblies
  • Build and integrate electronics systems, sensors, microcontrollers, and PCB design
  • Develop Machine Learning, Deep Learning, and Generative AI applications
  • Work with ROS2, robot modeling, simulation, navigation, and computer vision
  • Apply programming skills (Python, OpenCV, ML, AI) to solve robotics problems
  • Prepare for internships and job opportunities through projects and career guidance
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Reasons to enrol

Why should you take the Roboai Course?

  • It is a 45+T day industry-oriented Programme covering five major robotics domains end-to-end
  • Programme includes live mentor-led training, doubt sessions, and career guidance
  • Learn all modules used in industry: Mechanical, CAD, Electronics, AI/ML, ROS2
  • Suitable for beginners: Prerequisite materials and tests are included
  • Access to LMS with recordings, study material, and project evaluations
  • Build strong projects for portfolio, with eligibility for:
    • Certificate of Participation (COP)
    • Certificate of Appreciation (COA)
    • Letter of Recommendation (LOR)
  • Get access to internship/job opportunities based on your performance
  • Receive support through WhatsApp updates, LMS, and mentor guidance
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Ideal Participants

Who should take the Roboai Course?

  • Students pursuing Engineering - Mechanical, Electrical, Electronics, Computer, AI/ML
  • Beginners interested in Robotics, Programming, Machine Learning, or Industrial Automation
  • Working professionals looking to upskill in Industrial Robotics, AI, and ROS2
  • Anyone aspiring to build a career in - Robotics, Automation, AI/ML, Product Design, Embedded Systems, and Research and Development
  • No prior Robotics experience is required
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Curriculum

Curriculum

The programme is divided into 5 Core Sections:

Section 1 - Mechanical and Mathematics (Robotics Foundations)

  • Introduction to Robotics, elements, ABB IRB case study
  • Manipulator physics, DOF, Gruebler’s Criterion
  • Linkages, kinematics, transformation matrices
  • DH parameters, Jacobian, forward and inverse kinematics
  • Problem solving and projects

Section 2 - Industrial Design (CAD and Simulation)

  • SolidWorks basics - Sketches, features, assemblies
  • Advanced modeling - Surfacing, sheet metal, weldments
  • 2D drawings, tolerance, BOM, weld tables
  • ANSYS simulations (1D, joints, thermal)
  • Projects + Career Guidance

Section 3 - Electronics and Electrical for Robotics

  • Basics of electronics, semiconductors
  • Microcontrollers, bootloaders, Wokwi simulator
  • Sensors, PWM, UART, I2C, SPI
  • LCD interfacing, SD card read-write
  • Buck-boost converter, VFD
  • PCB design (KiCAD), IoT fundamentals
  • Obstacle-avoiding robot project

Section 4 - Artificial Intelligence/ML/DL

  • Python programming and environment setup
  • Machine Learning (Regression, Classification, SVM, RL)
  • Deep Learning (ANN, CNN)
  • Generative AI (Autoencoders, GANs, Transformers, Hugging Face)
  • Hands-on: CNN classification, GAN training, chatbot creation

Section 5 - ROS/ROS2 (Robot Operating System)

  • Ubuntu + ROS2 environment setup
  • ROS2 nodes, topics, services, parameters
  • Building ROS2 workspace (colcon)
  • TFs, coordinate systems, URDF robot modeling
  • Gazebo simulation
  • Sensors, SLAM, Navigation Stack
  • Computer Vision: OpenCV + ROS integration
  • Final Project and Career Session
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skills and tools

Tools you will learn in the Roboai Course

  • SolidWorks - 3D modeling, assemblies, sheet metal, drawings
  • ANSYS - structural & thermal simulations
  • Wokwi Simulator - electronics & microcontroller programming
  • Arduino - sensors, PWM, UART/I2C/SPI
  • KiCAD - PCB design
  • Falstad Circuit Simulator
  • Python (VSCode, PyCharm)
  • Scikit-learn, NumPy, Pandas, Matplotlib
  • TensorFlow/Keras - building ANN & CNN
  • Hugging Face Transformers
  • OpenCV - Computer Vision
  • Ubuntu + ROS2 (Humble)
  • Rviz2, Gazebo - robot visualization & simulation
  • VirtualBox
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