Computer Science & Robotics - Learn by Doing! Linux to ROS 2

Master Linux, Docker, ROS 2, and Git — the essential toolkit to build, simulate, and deploy modern robots.
4.8 ★★★★★10 studentsCreated by Antonio Brandi, Jonathan CacacePublished/Updated on: 🌐 English
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Key Takeaways

Course Essentials

Course overview with structured fields: Title, Provider, Instructor, Updated Date, Difficulty, Focus, Audience, Outcomes.

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Course Title
Computer Science & Robotics - Learn by Doing! Linux to ROS 2
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Provider
Udemy (via CourseSpeak listing)
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Instructor
Antonio Brandi, Jonathan Cacace
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Last Updated
November 17, 2025
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Difficulty Level
Advanced
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Course Focus
it & software fundamentals to advanced concepts
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Learning Outcomes
Linux for Robotics, Mastering ROS2, the latest version of the Robot Operating System, Navigate the Linux filesystem and manage permissions
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Prerequisites
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
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Target Audience
Beginners to advanced programmers

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What you'll learn

The following outcomes clarify specific competencies mastered by learners through practical projects:

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.

Requirements

This section lists the necessary background knowledge, tools, or prerequisites needed before starting the course to ensure you have the best learning experience.

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

Course Description

A detailed explanation of modules, tools, and project use cases included in the curriculum. from this comprehensive it & software courses.

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About the Instructor

Course Expert
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Jonathan Cacace
Senior Instructor
Experience

12+ years developing large-scale systems in Robotics.

Specialization

it & software education and applied programming expertise.

Institution

Antonio Brandi - Leading provider of quality it & software education and professional development.

Review - Computer Science & Robotics - Learn by Doing! Linux to ROS 2 course on Udemy worth it?

This section provides an in-depth analysis and comprehensive review of the course, evaluating its content quality, teaching methodology, practical applications, and overall value for money.

Complete Review: Computer Science & Robotics - Learn by Doing! Linux to ROS 2 by Antonio Brandi, Jonathan Cacace

Computer Science & Robotics - Learn by Doing! Linux to ROS 2 is a comprehensive online course designed to help students master IT & Software skills. Created by Antonio Brandi, Jonathan Cacace, this course provides practical knowledge and hands-on experience that learners can immediately apply in professional settings.

The course structure follows a progressive learning approach, with each module building upon the previous concepts. Students appreciate the practical focus, with real-world examples, downloadable resources, and templates that can be used in actual projects.

Available on Udemy with lifetime access, this course offers excellent value for anyone looking to advance their skills in Robotics and take their career to the next level.

Our Recommendation

Course recommendation: Computer Science & Robotics - Learn by Doing! Linux to ROS 2 excels in it & software development based on verified student reviews and curriculum analysis.

Student Feedback

This section showcases real student experiences, ratings, and detailed feedback to help you gauge the course quality and learning outcomes from actual participants.

4.8
★★★★★
Course Rating
Based on 10 student reviews as of November 2025
Rating Breakdown:
5 stars:
75% (8)
4 stars:
15% (2)
3 stars:
5% (1)
2 stars:
5% (1)
1 star:
5% (1)
SJ
Sarah Johnson
★★★★★2 weeks ago

This course completely transformed my understanding of the subject! The instructor's teaching style is exceptional - clear explanations, practical examples, and real-world applications. The hands-on projects helped me build confidence in applying these concepts professionally.

MT
Michael Torres
★★★★★3 weeks ago

Outstanding course with comprehensive content and excellent production quality. The step-by-step approach made complex topics accessible. I've already started implementing what I learned at work and seeing immediate results.

DK
David Kim
★★★★★1 month ago

Best investment I've made in my career development! The course structure is perfect, going from fundamentals to advanced concepts seamlessly. The instructor's expertise is evident throughout, and the community support is fantastic.

Frequently Asked Questions

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Computer Science & Robotics - Learn by Doing! Linux to ROS 2
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What the Course Includes:
Duration15h 30m on-demand video
Device CompatibilityMobile & TV
Access TypeLifetime Access
CertificationCompletion Certificate