Computer Science & Robotics - Learn by Doing! Linux to ROS 2 — 90% Off Coupon

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

4.7 281 students enrolledCreated by Antonio Brandi, Jonathan CacaceLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

Course Title: Computer Science & Robotics - Learn by Doing! Linux to ROS 2
Provider: Udemy (listed via CourseSpeak)
Instructor: Antonio Brandi, Jonathan Cacace
Coupon Verified On: January 20, 2026
Difficulty Level: Advanced
Category: IT & Software
Subcategory: Robotics
Duration: 15h 30m of on-demand video
Language: English
Access: Lifetime Access · Mobile & TV compatible
Certificate: Certificate of completion included
Top Learning Outcomes: Linux for Robotics · Mastering ROS2, the latest version of the Robot Operating System · Navigate the Linux filesystem and manage permissions
Prerequisites: NO prior knowledge of ROS or ROS 2 is required · NO prior knowledge of Robotics theory is required
Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

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.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

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

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Antonio Brandi, Jonathan Cacace. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

Instructor: Antonio Brandi, Jonathan Cacace
Field: IT & Software
Teaching Style: Practical, project-based learning (as described in course curriculum)

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

Computer Science & Robotics - Learn by Doing! Linux to ROS 2 is a it & software course offered on Udemy by instructor Antonio Brandi, Jonathan Cacace, spanning 15h 30m of on-demand content. It holds a 4.7/5 rating from over 281 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on January 20, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.7/5) and enrollment numbers (281 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of January 2026. For individual student reviews, visit the course page directly.

4.7
281 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

Frequently Asked Questions

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