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Course overview

Linux

4.9· trusted by learners

Master Linux from the command line to system administration — the foundational skill behind DevOps, cloud and backend engineering. Learn files, permissions, Bash scripting and server management through hands-on labs and placement support.

  • Hands-on, project-based curriculum
  • Live doubt-clearing sessions
  • Industry-recognised certification
  • Dedicated placement assistance
3 Months (12 Weeks) Intermediate
Key highlights
  • 13 modules · 63 lessons
  • 3 Months (12 Weeks) — live cohort
  • Weekly doubt-clearing
  • Mentor-reviewed projects
  • Placement assistance
About this course

You will be able to build and administer production-grade Linux servers from scratch, configure secure networking, automate repetitive operations with robust Bash scripts, and troubleshoot memory or disk pressure on live Ubuntu and Red Hat machines. Almost every container, cloud instance, and database cluster runs on Linux, making command-line fluency the single highest-return skill you can acquire as a backend, cloud, or reliability engineer.

Mastering Linux for Production Engineering

You start with the absolute fundamentals of the shell, navigating the filesystem hierarchy, and using text utilities like grep, sed, and awk inside a terminal. From there, you progress into deep system administration: managing users, configuring chmod and special permissions, inspecting PIDs with top and htop, and managing software packages using APT and DNF. You will learn how to write maintainable Bash scripts with conditionals, loops, and functions that automate daily administrative tasks, followed by securing remote access with OpenSSH and configuring firewalls with ufw.

What you will actually work on

  • Filesystem & Permission Hardening: Configure users, groups, sudo access, and sticky bits on a shared Linux workstation to lock down unauthorized access.
  • Advanced Text Processing Pipeline: Build shell pipelines that ingest server log files, extract error rates using regular expressions, and output daily summary reports.
  • Bash Automation Scripts: Write automated backup and rotation scripts that compress application directories and push them securely to remote storage on a cron schedule.
  • Process & Resource Tuning: Investigate a simulated runaway process hogging CPU cycles, adjust its priority using renice, and set up process supervision with systemd.
  • Network Troubleshooting Suite: Diagnose packet loss, DNS resolution failures, and blocked TCP ports using tools such as ss, curl, and netstat.
  • Disk Management & LVM Setup: Partition raw virtual disks, create Logical Volume Management pools, and mount persistent filesystems inside /etc/fstab.
  • Server Security Hardening Capstone: Provision a cloud instance, configure OpenSSH key-only authentication, set up firewall rules, and establish log rotation with journald.

Whether you are transitioning from support roles, upgrading your developer toolkit, or building a foundation for the Linux for Big Data curriculum, this training gives you the exact hands-on muscle memory required by modern engineering teams.

Who this course is for

This program is designed for students, fresh graduates, backend developers, and aspiring infrastructure professionals who want to move past GUI dashboards and work directly with the operating system. You do not need any prior command-line experience. You only need a laptop, a terminal, and the willingness to learn by running commands and reading system logs when things break.

How live online sessions run

Classes take place via live online sessions in timezone-friendly cohorts, led by working engineers who manage production Linux fleets daily. You do not watch recorded theory; you type commands alongside the instructor, break test environments, fix them, and receive direct code reviews on your shell scripts. Lifetime access to session recordings and lab guides ensures you can revise concepts whenever necessary.

The Linux career market and interview focus

Engineering teams in remote-first companies and product startups evaluate candidates heavily on practical troubleshooting. When hiring for backend, cloud, or SRE positions, interviewers rarely ask multiple-choice questions about the kernel. Instead, they hand you a broken scenario: a disk partition at 100% capacity, a runaway process blocking port 8080, or an SSH daemon refusing public key logins. Your ability to navigate /var/log, inspect systemd service units, and pipe text utilities together under pressure is what separates successful candidates.

Graduates step into roles such as Linux System Administrator, DevOps Engineer, Site Reliability Engineer, and Cloud Support Specialist. Once you master the material here, diving into infrastructure automation becomes significantly easier, especially when you pair it with advanced training like the Advanced DevOps and Infrastructure Engineering Course.

Take the first step toward true infrastructure fluency and build the operating system foundation that powers the modern web.

Course details

Everything you'll learn & master

A structured curriculum with real tools and outcomes built for the workplace.

13 modules
63 lessons
16 tools
Certificate
Live course Self-paced Industry expert Academic faculty
Module 1

You can navigate the Linux directory hierarchy, open a terminal, and run your first command-line utilities with confidence.

  1. What Linux is: the kernel, distributions and open source90 min
    • Linux kernel architecture
    • GNU userland utilities
    • Distributions: Ubuntu, Debian, Red Hat
    • Open source licensing model
  2. Installing Linux: virtual machines, WSL and the cloud90 min
    • VirtualBox and hypervisors
    • Windows Subsystem for Linux (WSL2)
    • Cloud instance initialization
    • Basic terminal configuration
  3. The shell, the terminal and your first commands90 min
    • Prompt anatomy and terminal emulators
    • echo, pwd, date, and history
    • Command syntax, flags, and arguments
    • Keyboard shortcuts for terminal navigation
  4. Navigating files and directories90 min
    • cd, ls, and absolute paths
    • Relative paths and shorthand (., .., ~)
    • mkdir, rmdir, and rm -rf precautions
    • Directory tree traversal patterns
  5. Getting help: man, --help and info90 min
    • man page sections and navigation
    • --help usage for quick flags
    • apropos for searching command descriptions
    • info command documentation structure

Hands-on project: Provision a local Linux virtual machine or WSL instance, explore the root directory structure, and use man pages to inspect core utilities.

Module 2

Module 3

Module 4

Module 5

Module 6

Module 7

Module 8

Module 9

Module 10

Module 11

Module 12

Module 13

Who teaches you

Our instructors

Every instructor here ships production code for a living and teaches the same week they deploy.

  • Swati Tyagi — Senior Full Stack and Mobile App Developer, Squarebrackets trainer

    Swati Tyagi

    Senior Full Stack and Mobile App Developer

  • Vaishali Tyagi

    Co-Founder and Soft Skills Mentor

  • Himanshu Mudgal — Lead DevOps Engineer, Squarebrackets trainer

    Himanshu Mudgal

    Lead DevOps Engineer

  • Ravi Tyagi — Lead AI Engineer & Generative AI Systems Engineer, Squarebrackets trainer

    Ravi Tyagi

    Lead AI Engineer & Generative AI Systems Engineer

Real stories

Where our learners landed.

5 learners sharing their experience

1 / 5
“

The Full-Stack Java developer program at Squarebrackets completely transformed my career. Learning Spring Boot and microservices architecture alongside React and Next.js gave me the exact modern stack companies are looking for. Building real-time projects using Apache Kafka and RabbitMQ for message queuing gave me the practical confidence I needed to ace my system design rounds.

Ankit transitioned from a legacy support engineer to a high-paying product development role after completing his 6-month intensive Java and JavaScript full-stack training at our Noida campus.

Ankit Srivastava profile
Ankit Srivastava
Software Engineer · Student
Aug 2026
“

Squarebrackets took me from not knowing what a gradient was to building and deploying CNNs and Transformers. The maths-first approach made everything click, and the mentors pushed me through every hard concept.

Completed the Deep Learning Course at Squarebrackets and landed a deep learning role within two months.

Pradeep Sharma profile
Pradeep Sharma
Student
Jun 2026
“

Squarebrackets gave me the complete AI picture — from search algorithms and Bayesian reasoning to building LLM agents. The maths-first approach meant nothing was a black box, and the mentors pushed me through every project.

Completed the Artificial Intelligence Course at Squarebrackets and moved into an AI engineering role within two months.

Arjun Saini profile
Arjun Saini
Student
Jun 2026
“

The Java Full-Stack and DSA course at Squarebrackets completely changed my career trajectory. The focus on raw problem-solving with DSA alongside hands-on Spring Boot and React projects gave me the practical skills I needed. I went from struggling with basic coding rounds to cracking my technical interview with absolute confidence.

Aniket joined Squarebrackets as a college senior looking to transition from theoretical academic projects to production-ready software development. After completing our rigorous training program, he secured a placement as an Associate Software Engineer.

AS
Aniket Sharma
Associate Software Engineer · Capgemini
Aug 2026
“

The live cohort broke down complex concepts like Spring Boot transaction management and React state handling in a way that made immediate sense for production work. Having worked through real backend architectures during class, my daily code reviews at work became much smoother.

Completed the Java Full Stack live training while balancing a full-time role, upgrading engineering skills through rigorous hands-on sessions.

Harshmeet profile
Harshmeet
Student
Oct 2026
Success Stories

What our learners say

Written testimonials

Verified

“The Full-Stack Java developer program at Squarebrackets completely transformed my career. Learning Spring Boot and microservices architecture alongside React and Next.js gave me the exact modern stack companies are looking for. Building real-time projects using Apache Kafka and RabbitMQ for message queuing gave me the practical confidence I needed to ace my system design rounds.”

Ankit Srivastava

Ankit Srivastava

Software Engineer, Student

Verified

“Squarebrackets took me from not knowing what a gradient was to building and deploying CNNs and Transformers. The maths-first approach made everything click, and the mentors pushed me through every hard concept.”

Pradeep Sharma

Pradeep Sharma

Student

Verified

“Squarebrackets gave me the complete AI picture — from search algorithms and Bayesian reasoning to building LLM agents. The maths-first approach meant nothing was a black box, and the mentors pushed me through every project.”

Arjun Saini

Arjun Saini

Student

Verified

“The Java Full-Stack and DSA course at Squarebrackets completely changed my career trajectory. The focus on raw problem-solving with DSA alongside hands-on Spring Boot and React projects gave me the practical skills I needed. I went from struggling with basic coding rounds to cracking my technical interview with absolute confidence.”

Aniket Sharma

Associate Software Engineer, Capgemini

Verified

“The live cohort broke down complex concepts like Spring Boot transaction management and React state handling in a way that made immediate sense for production work. Having worked through real backend architectures during class, my daily code reviews at work became much smoother.”

Harshmeet

Harshmeet

Student

Trusted by teams

Companies our learners work at

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Genspark
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Frequently asked

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No prior terminal experience is needed. We start from absolute zero, covering your very first command before building up to advanced server administration and automation scripts.

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