Computer Science & Robotics - Learn by Doing! Linux to ROS 2 — 93% OFF Discount Coupon

Master Linux, Docker, ROS 2, and Git — the essential toolkit to build, simulate, and deploy modern robots.

★4.7 out of 5
481 students
Created by Antonio Brandi, Jonathan Cacace
English
Updated April 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Computer Science & Robotics - Learn by Doing! Linux to ROS 2 before you enroll:

•Course Name: Computer Science & Robotics - Learn by Doing! Linux to ROS 2
•Platform: Udemy
•Instructor: Antonio Brandi, Jonathan Cacace
•Coupon Last Verified: April 14, 2026
•Level: Advanced
•Topic: IT & Software
•Subtopic: Robotics
•Total Time: 15h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Linux for Robotics · Mastering ROS2, the latest version of the Robot Operating System · Navigate the Linux filesystem and manage permissions
•Requirements: NO prior knowledge of ROS or ROS 2 is required · NO prior knowledge of Robotics theory is required
•Current Price: $9.99 (was $149.99). You save $140.00 with 93% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Computer Science & Robotics - Learn by Doing! Linux to ROS 2, you'll have these practical skills:

✓Linux for Robotics .
✓Mastering ROS2, the latest version of the Robot Operating System .
✓Navigate the Linux filesystem and manage permissions .
✓Use Linux commands for text editing, networking, and automation .
✓Build and run scripts to automate tasks in Linux .
✓Install and manage Docker containers and images .
✓Create, share, and optimize Dockerfiles and Compose setups .
✓Integrate Docker with GPU support and local registries .
✓Master Git basics, workflows, branching, and rebasing .
✓Collaborate using GitHub and automate tasks with Git Actions .
✓Configure and use Visual Studio Code with extensions .
✓Install and explore ROS 2 architecture, topics, services, and actions .
✓Create and manage ROS 2 workspaces and packages .
✓Simulate robots with Gazebo and visualize data in RViz .
✓Deploy and test code on a real robot using ROS 2 tools.

What You Need Before Starting

Before enrolling in Computer Science & Robotics - Learn by Doing! Linux to ROS 2, make sure you have:

•NO prior knowledge of ROS or ROS 2 is required
•NO prior knowledge of Robotics theory is required
•A System to Practice On: Access to a computer (Windows, Mac, or Linux) to run Linux simulations or installations. We will install everything required together - you pretty much just need a few GB of extra storage
•NO prior programming knowlege is required
•A reliable Internet connection

About This Udemy Course

The following is the full official course description for Computer Science & Robotics - Learn by Doing! Linux to ROS 2 as published on Udemy by instructor Antonio Brandi, Jonathan Cacace:

Dive into an immersive, hands-on journey from foundational computing to cutting-edge robotics. In this course, you’ll master essential developer tools (Linux command line, Git for version control, Docker containers, and VS Code IDE) and then apply them directly to robotics with ROS 2.

We follow a learning-by-doing philosophy – “Learning is an active process. We learn by doing, only knowledge that is used sticks in your mind.” – so you’ll build real projects at every step. For example, you’ll set up a complete ROS 2 workspace on Linux inside a Docker container (as recommended by robotics best practices) and use Visual Studio Code to code and debug without worrying about OS conflicts. Step by step, you’ll write ROS 2 nodes and control topics and services, first in simulation and then on a physical robot – closing the loop between virtual testing and real-world application. This way, theoretical concepts immediately turn into working robot demos, ensuring the new skills truly stick in your mind.

What you will learn
  • Linux & Dev Environment: Navigate the Linux terminal, install packages, and configure a developer setup on Ubuntu. You’ll use the terminal to interact with the filesystem, schedule tasks, and automate tasks with bash scripts, just as professional robotics engineers do.
  • Containerized Workflows: Use Docker to create isolated, reproducible development environments. You will learn how to download and use thousands of Docker Images available on Docker Hub and how to create your own custom images with Dockerfile.
  • Master Git, the professional Version Control System: Use Git and Github to track, commit and manage your code like a pro. Software Development is all about collaboration and community! You'll learn how to use Git and Github to collaborate with others, create branches, forks, and pull requests.
  • IDEs for Robotics Development: You will explore various Integrated Development Environments that will help you develop new cool features for your robot, streamlining your coding workflow.
  • ROS 2 Core Concepts: Learn ROS 2 fundamentals by writing your own nodes in Python or C++, publishing/subscribing to topics, calling services, and handling actions. Each concept is reinforced with practical examples and experiments on a simulated robot, following the “learn by doing” approach.
  • Simulation & Gazebo: Build a robot model and test its behavior in Gazebo simulation. You’ll practice digital twin techniques and see how changes in your code immediately affect the virtual robot, mirroring techniques from successful robotics courses.
  • Deploy to Real Robot: Transfer your simulation code to hardware. You’ll connect sensors and actuators, run your ROS 2 nodes on a real robot, and observe your software come to life in the real world. This completes the cycle of learning – from code to simulated testing to actual robot control.

By the end of this course, you’ll have a portfolio of real-world projects: from setting up Linux-based dev environments with Docker to running ROS 2 on physical robots. On the way, you will master Git as a collaboration tool and as a time machine that will let you go back in time to previous versions of your code.

You’ll gain the confidence and skills to tackle modern robotics challenges – learning by building and experimenting every step of the way.

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Is the Computer Science & Robotics - Learn by Doing! Linux to ROS 2 Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: April 14, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Computer Science & Robotics - Learn by Doing! Linux to ROS 2 is a high-value resource for learners seeking to build skills inIT & Software. Taught by Antonio Brandi, Jonathan Cacace on Udemy, the 15h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 93%, from $149.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 93% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.7 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 481 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Computer Science & Robotics - Learn by Doing! Linux to ROS 2:

  • The depth of IT & Software coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Computer Science & Robotics - Learn by Doing! Linux to ROS 2 Course holds an aggregate rating of 4.7 out of 5 based on 481 student reviews on Udemy.

4.7
★★★★★
481 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Antonio Brandi, Jonathan Cacace, the instructor responsible for creating and maintaining Computer Science & Robotics - Learn by Doing! Linux to ROS 2 on Udemy.

Computer Science & Robotics - Learn by Doing! Linux to ROS 2 is taught by Antonio Brandi, Jonathan Cacace, a Udemy instructor specializing in IT & Software. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Antonio Brandi, Jonathan Cacace
•Subject Area: IT & Software
•Teaching Approach: Practical, project-based instruction focused on real-world application of IT & Software skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Computer Science & Robotics - Learn by Doing! Linux to ROS 2, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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