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Introduction to ROS/GitHub/Linux

An introductory course on Robotic Operating Systems (ROS), GitHub, and Linux.

12 weeks long course | 100% Online

Learn from leading experts in the industry

Project based learning with 2 industry level projects that learners can showcase on LinkedIn.

Learn Key Tools & Technologies ROS, GitHub, Python, CARLA, OpenCV

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Syllabus

This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

  • In this course, the students will learn about
    • Python
    • Various tools used in the industry like GitHub and Ubuntu. 
    • Modern trends and standard practices followed in the industry right now.
  • This course is ideal for students who wish to pursue the field of robotics in their higher studies, as well as professionals who are looking to switch careers. 

Course Syllabus

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week 1 - Introduction to Autonomous Vehicles

  • Introduction to Self-driving Vehicles
  • Levels of Autonomy
  • What is ROS?
  • Why is ROS important for auto vehicles? 
  • Integration of ROS with Self-driving Vehicles

Week 2 - Introduction to Linux System

  • Introduction to Linux
  • Difference between Windows and Linux
  • Distributions in Linux
  • Install dual OS on Windows Laptop - Install Ubuntu
  • Explain the working of Ubuntu
  • Introduction to Shell Commands
  • Introduction to Git

Week 3 - ROS Introduction

  • ROS Architecture and Philosophy
  • How to install ROS?
  • Abstractions in ROS
  • Applications of ROS

Week 4 - Programming Basics for Robotics

  • Why python for robotics?
  • Python/C++ Essentials
    • How to create variables?
    • Different Operators
    • Conditional Statements and Loops
      • If, else, and elif
      • For loop
      • While loop
    • Functions
    • Lists, tuples, and dictionary
    • OOPs (object-oriented programming)

Week 5 - ROS File System Concepts

  • ROS Filesystem Level
    • Navigating in ROS (catkin, rosbuild)
    • Creating Packages
    • Building Packages (catkin_make)
    • Package Dependencies

Week 6 - ROS Computation Graph Concepts -I

  • ROS Graph Concepts
  • Nodes
    • Master Node
    • Slave Node
  • rostopic
    • What is a topic in ROS?
    • rostopic list/echo
    • Messages and message structure
    • Services(using rosservice) and Parameters(using rosparam)
    • Bags (rosbags, rqt, rosplay, and rosrecord)

Week 7 - ROS Computation Concepts and Visualization

  • Writing Publisher Node and Subscriber Node
  • Working with Publishers and Subscribers
  • 2D Visualization
    • Plotting Message Data using rqt_plot
    • Real-time Plotting using plotJuggler
  • 3D Visualization
    • rViz
    • Gazebo simulator

Week 8 - ROS for Autonomous Vehicles

  • Sensors
    • Different Types of Sensors
    • Sensory Data
    • Visualization of Sensory Data in Rviz
  • Dataset available - KITTI, nu scene, COCO, etc
  • Introduction to the autonomous driving simulator: CARLA
    • Installation of CARLA
  • Integration of ROS and CARLA
    • ROS bridge installation

Week 9 - Mobile Robotics: Basics

  • Wheeled Vs Legged Robots
  • Differential Drive Robot Basics
  • Kinematic Bicycle Model

Week 10 - Mobile Robotics: Perception

  • Introduction to Computer Vision
  • OpenCV in Python
  • Vision-based Sensors
  • Feature Extraction
  • Object Detection and Tracking

Week 11 - Mobile Robotics: Localization and Mapping

  • Need for Localization for Autonomous Driving
  • SLAM
  • Grid Maps
  • Sensors - Wheel Encoders and IMU
  • Accumulation of Errors
  • Kalman Filter and Uncertainty

Week 12 - Mobile Robotics: Path Planning

  • Vision-based Navigation
  • Path Execution and Obstacle Avoidance
  • Static and Dynamic Obstacles
  • Understanding of Cost and Grid Maps
  • Path Planning Algorithms
    • RRT
    • A*

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.

Tele-Operating NASA ROVER

  • In this project, you will develop a simple mock-up of the NASA Mars Landrover robot and teleoperate it.
  • Here, you will set up your robot and teleoperation setup in Gazebo and program your robot for teleoperation command.

Use CARLA simulator for implementing simulation on a given model

In this project, you will use the CARLA simulator to create a skeleton model/robot structure for implementing Perception Localization Navigation.

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating
4.6

Become a Developer with the Introduction to ROS/GitHub/Linux Course

 

With the advent of industry 4.0 artificial intelligence, machine learning and robotic engineering is gaining more traction. Hiring robotic engineers is expected to grow by 9% between 2016 and 2026. Equipping yourself with the right skillsets will make you eligible for a lucrative career in this domain.

Skill-Lync’s Introduction to ROS/GitHub/Linux is a 12-week online course. It will teach you Python and various tools like GitHub and Ubuntu. An industry expert with four years of experience in Robotics and Autonomous Systems has carefully curated the course. As one of the best ROS courses, the curriculum strictly adheres to industry standards it will help you become job-ready. Two industry-level projects are included in the curriculum to provide you with hands-on practice.

The advanced Robot Operating System course will help you build the skills necessary to kickstart a career in the construction industry. The fee for learning the Introduction to ROS/GitHub/Linux ranges from INR 7,000 to INR 15,000 monthly for three months.

Who Should Take This Course?

The industry-oriented Introduction to ROS/GitHub/Linux course is for students and graduates of computer science and related streams of engineering. Experienced professionals looking for a career transition to this domain can opt for this course. If you are interested in developing Robot Operating System and learning types of Git, this course is for you.

What will you learn?

The course will take you through different operating systems and their architectures. The following topic will be dealt with in this course:

    • ROS Architecture and Philosophy
    • GitHub & Types
    • Difference between Windows and Linux
    • Publisher Node and Subscriber Node
    • Different Types of Sensors
    • Mobile Robotics
    • Computer Vision

 

 

Skills You Will Gain

  • Ability to develop Robotic Operating System for an Autonomous Vehicle.
  • Complete knowledge of standard industry practices and installation of ROS.
  • Proficiency in using the tools like ROS, GitHub, Python, CARLA and OpenCV

Key Highlights of The Program

  • The Introduction to ROS/GitHub/Linux is a 12-week long course.
  • Besides the course completion certificate for all participants, the top 5% of learners get a merit certificate.
  • You will get email and forum support to clear your doubts during the course.
  • Real-time industry-relevant projects will make your learning purposeful and practice-oriented.

Career Opportunities after taking the course

After completing the Introduction to ROS/GitHub/Linux course, numerous job opportunities will open up. Some exciting positions that you can work for include:

 

  • Robotic Software Developers
  • Autonomous Engineer
  • AI Engineer

 

FAQs on Introduction to ROS/GitHub/Linux Course

  1. Who can take the Introduction to ROS/GitHub/Linux course?

Students and graduates of computer science and related engineering streams can take up the Introduction to ROS/GitHub/Linux course.

  1. Is the Introduction to ROS/GitHub/Linux an online program?

Yes, the Robot Operating System course is 100% online.

  1. What is the duration of the Introduction to ROS/GitHub/Linux course?

This advanced ROS course is 12 weeks long, covering all the basic to advanced-level concepts essential for an autonomous engineer.

  1. What is the fee for pursuing the Introduction to ROS/GitHub/Linux course?

The fee for learning the Robot Operating System course at Skill-Lync is flexible and is available in three plans. The basic plan provides you with two months of access at INR 7,000 per month, the Pro plan provides four months of access at INR 10,000 per month, and the Premium plan provides you lifetime access at INR 15,000 per month.

  1. How much can an autonomous vehicle engineer earn?

According to Glassdoor, the average annual salary of an autonomous vehicle engineer ranges from INR 3 to INR 7 LPA. However, your pay package may vary with your experience and expertise.

  1. Is there any certificate for completing the Introduction to ROS/GitHub/Linux course?

Yes, you shall be given a course completion certificate after completing the Introduction to ROS/GitHub/Linux course. The top 5% of the scorers will receive a merit certificate alongside the course completion certificate.

  1. Is any technical support available for this Robot Operating System course?

Yes, you can clear your doubts during coursework from our technical support team through email and forum support.

  1. Can you tell me more about Skill-Lync?

Skill-Lync is among India’s leading EdTech platforms dedicated to transforming engineering education. We equip young engineers with the latest skill sets and cutting-edge tools in new-age technologies.

The brainchild of two engineers from Chennai, Skill-Lync, is on a mission to bridge the skill gap between aspiring professionals and the industry’s demands through job-oriented courses.

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.

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1 industry expert

Our instructors are industry experts along with a passion to teach.

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4 years in the experience range

Instructors with 4 years extensive industry experience.

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Areas of expertise

  • Robotics and Autonomous Systems

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