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Udemy

Linux Fundamentals for IT Professionals using Ubuntu

via Udemy

Overview

Master Linux Commands, Shell Scripting, AWS & Ansible Automation with Hands-On Projects and Real-World Case Studies

What you'll learn:
  • Setup Ubuntu Linux on Windows using wsl
  • Getting Started with Linux Shell Commands using commands such as pwd, help, etc
  • Listing files and folders in Linux File System using ls
  • Filtering files and folders in Linux File System using commands such as find
  • Processing Data in Files using Linux Commands using commands such cat, tail, head, more, cut, sort, uniq, etc
  • Understanding File and Folder Properties and also commands to change the ownership as well as permissions
  • Managing Files and Folders in Linux using commands such as cp, mv, rm, etc along with awk for the automation
  • Basic System Commands in Linux such as lscpu, free, df, du, etc to get CPU, memory, free or available as well as used storage respectively
  • Comparing Files and Folders in Linux using diff
  • Variables and Environment Variables in Linux including commands such as env and concepts related to PATH Environment Variable
  • Getting Started with AWS to provision EC2 Instances to explore SSH, networking concepts, scp, etc
  • Overview of SSH to interact with remote servers which includes all key concepts such as sshd, configuration files, running commands remotely, etc
  • Basic Networking Concepts such as different ip addresses, ports using Linux including telnet command to troubleshoot networking issues
  • Copy Files and Folders between Multiple Systems using scp including fine tuning the performance of scp
  • Troubleshooting Application issues using find and grep in Linux
  • Monitoring and Managing Linux Servers using System Commands such as uptime, ps, lost, top, etc
  • Overview of Developer Tools for Linux using Windows - notepad++, winscp, visual studio code, etc
  • Overview of Ansible for Server Automation - Running Commands, Playbooks, Variables, Profiles, etc
  • Overview of Automation using Python on Linux - using os, subprocess, modules

Master Linux & Ubuntu 20.04: Complete Hands-On Training for IT Professionals, DevOps Engineers & System Administrators

Transform Your IT Career with Production-Ready Linux Skills

Become a confident Linux professional and unlock high-paying DevOps, System Administration, and Cloud Engineering opportunities. This comprehensive, hands-on course takes you from Linux fundamentals to advanced server automation using Ubuntu 20.04, AWS cloud infrastructure, and industry-standard tools including Ansible and Python.

Whether you're an application developer, data engineer, QA tester, or aspiring system administrator, you'll gain the practical command-line expertise that employers demand in today's cloud-first IT landscape.

What You'll Master

Core Linux Skills:

  • 100+ Essential Linux Commands - ls, find, grep, awk, sed, tail, ssh, scp, and more

  • Shell Scripting & Bash Automation - Automate repetitive tasks and boost productivity

  • File System Management - Permissions, ownership, user/group management

  • Text Processing - Extract, filter, sort, and analyze data from files and logs

  • System Monitoring - CPU, memory, storage, and process management

Advanced Administration:

  • AWS Cloud Infrastructure - Deploy and manage EC2 instances with Ubuntu

  • SSH & Remote Management - Secure authentication, remote execution, parallel SSH

  • Networking Fundamentals - IP addresses, ports, security groups, DNS

  • Application Deployment - Install, configure, and manage Apache, MongoDB, Jupyter Lab

  • Production Troubleshooting - Log analysis, debugging, performance optimization

Enterprise Automation:

  • Ansible Server Automation - Playbooks, roles, variables, multi-server management

  • Python for Linux - Programmatic automation, parallel processing, remote execution

  • DevOps Workflows - CI/CD preparation, infrastructure as code, configuration management

Comprehensive Curriculum

Module 1: Linux Fundamentals & Environment Setup

Set up Ubuntu 20.04 on Windows (WSL), Mac, or Linux. Master the file system hierarchy, absolute vs. relative paths, and basic navigation. Configure Jupyter Lab for interactive practice with real datasets from GitHub.

Module 2: Essential Linux Commands

Master File Listing with ls Command:

  • View file properties (permissions, size, timestamps, ownership)

  • Sort by time, size, or name

  • Work with hidden files and recursive listings

  • Create custom aliases for efficiency

Advanced File Filtering with find:

  • Search by name, type, size, and modification time

  • Filter files across directory structures

  • Combine with other commands for powerful workflows

  • Process results programmatically

Text Processing Tools:

  • Preview files with cat, head, tail, more, and less

  • Extract data with cut command

  • Sort and deduplicate with sort and uniq

  • Real-time log monitoring with tail -f

  • Pattern matching with grep and regular expressions

Module 3: File System Permissions & Security

Master Linux ownership model with users, groups, and permission levels. Learn chmod, chown, chgrp, useradd, groupadd, and umask. Implement security best practices for production environments.

Module 4: File & Directory Management

Create, copy, move, rename, and delete files safely. Build compressed archives with tar. Automate file organization using awk and pattern matching. Implement backup strategies for data protection.

Module 5: System Performance Monitoring

Analyze CPU with lscpu, monitor memory with free, check storage with df and du. Identify resource bottlenecks, find largest files, and optimize disk space usage for production systems.

Module 6: Comparing Files & Directories

Use diff command for file comparison. Compare directories, ignore whitespace and case, use unified and side-by-side formats. Essential for configuration management and version control.

Module 7: Environment Variables & Shell Configuration

Create shell variables, work with environment variables, master the PATH variable. Customize .bashrc and .profile files. Write executable shell scripts for automation.

Module 8: AWS Cloud Fundamentals

Launch Ubuntu 20.04 EC2 instances, create SSH key pairs, configure security groups, understand AWS pricing and free tier. Manage cloud infrastructure through AWS console and CloudShell.

Module 9: SSH & Remote Server Management

Configure SSH daemon (sshd), set up passwordless authentication with SSH keys, execute commands remotely, use parallel-ssh (pssh) to manage hundreds of servers simultaneously. Master remote server administration workflows.

Module 10: Linux Networking Essentials

Understand IP addresses (public, private, localhost), port numbers, and DNS. Configure AWS security groups. Deploy web servers (Apache) and databases (MongoDB). Troubleshoot networking issues in production.

Module 11: Secure File Transfer Between Systems

Copy files with scp (secure copy), transfer directories recursively, use parallel-scp for multi-server distribution. Submit background jobs with nohup. Optimize large file transfers for production deployments.

Module 12: Production Troubleshooting & Log Analysis

Locate application logs, search with grep using advanced patterns, combine find and grep for comprehensive analysis. Filter by severity, extract context, count occurrences. Master production debugging techniques.

Module 13: Application & Service Management

Install packages with apt, manage services with systemctl and service commands. Start, stop, restart applications. Deploy Apache web server and MongoDB. Configure services for automatic startup.

Module 14: Process Management & Performance Tuning

Monitor load with uptime, analyze processes with ps, track open files with lsof, use top for real-time monitoring. Identify resource-intensive processes, troubleshoot port conflicts, kill problematic processes.

Module 15: Developer Productivity Tools (Windows)

Configure Notepad++, WinSCP, Visual Studio Code with Remote Development, Git Bash, and Beyond Compare. Set up efficient workflows for remote Linux development from Windows.

Module 16: Ansible Server Automation

Install Ansible, create inventory files, write playbooks with variables and roles. Use loops, conditionals, and tags. Automate user management, application deployment, and configuration across server fleets. Scale to hundreds of servers.

Module 17: Python Automation for Linux

Execute shell commands from Python using subprocess. Automate file operations with os and glob modules. Process files in parallel with multiprocessing. Run remote commands and distribute files programmatically.

Real-World Projects & Case Studies

Throughout the course, you'll work on practical projects including:

  • Log Monitoring System: Build real-time Apache log monitoring with automated alerts

  • Multi-Server Deployment: Deploy applications across multiple AWS EC2 instances

  • Automated Backup System: Create scheduled backups with compression and rotation

  • User Management Automation: Ansible playbooks for enterprise user provisioning

  • Performance Dashboard: Monitor CPU, memory, and disk across server fleets

  • Troubleshooting Workflow: Debug production issues using grep, find, and log analysis

Who Should Enroll

Perfect for:

  • Application Developers transitioning to DevOps or full-stack roles

  • Data Engineers managing data pipelines on Linux infrastructure

  • QA Engineers & Testers working with test environments on Linux

  • IT Support Professionals advancing to system administration

  • DevOps Engineers building foundational Linux expertise

  • System Administrators looking to formalize their skills

  • Career Changers entering IT, cloud computing, or DevOps fields

  • Students & Graduates preparing for IT careers or Linux certifications

Skill Level Required:

  • Beginner to Intermediate - No prior Linux experience necessary

  • Basic computer literacy (file management, web browsing)

  • Enthusiasm to learn through hands-on practice

Technical Requirements

Hardware:

  • Minimum: 4GB RAM, Dual-core processor, 20GB free disk space

  • Recommended: 8GB+ RAM, Quad-core processor, 50GB free disk space

Software:

  • Windows 10/11 (WSL support), Mac, or native Linux

  • Chrome or modern web browser

  • High-speed internet connection

Cloud Access:

  • AWS free tier account (setup instructions included)

  • All exercises use free tier resources

Key Learning Outcomes

By completing this course, you will be able to:

  • Navigate Linux file systems confidently and efficiently

  • Write shell scripts to automate daily tasks and workflows

  • Manage users, groups, and file permissions securely

  • Deploy applications on AWS EC2 Ubuntu instances

  • Troubleshoot production issues using log analysis

  • Monitor system performance (CPU, memory, storage, processes)

  • Connect to and manage remote servers via SSH

  • Transfer files securely between multiple systems

  • Implement server automation with Ansible playbooks

  • Create Python scripts for Linux system automation

  • Work effectively in cloud-based Linux environments

Career Advancement

Skills from this course qualify you for roles including:

  • Linux System Administrator ($70K-$120K annually)

  • DevOps Engineer ($90K-$150K annually)

  • Site Reliability Engineer (SRE) ($100K-$160K annually)

  • Cloud Infrastructure Engineer ($85K-$140K annually)

  • Platform Engineer ($95K-$150K annually)

  • Automation Engineer ($80K-$135K annually)

US market salary ranges; varies by location, experience, and company size

What Makes This Course Unique

100% Hands-On Learning

Every concept includes practical exercises with real datasets. No passive watching—you'll be executing commands and solving problems from day one.

Production-Ready Skills

Learn techniques used in actual production environments at Fortune 500 companies. Work with industry-standard tools and best practices.

Multi-Platform Support

Whether you use Windows (WSL), Mac, or Linux, you'll get full setup instructions and support for your environment.

Real-World Case Studies

Practice with realistic scenarios including application deployment, troubleshooting production issues, and automating server configurations.

Modern DevOps Stack

Master current tools used by DevOps teams: Ansible, Python automation, AWS cloud, Git integration, containerization-ready skills.

Progressive Learning Path

Carefully structured curriculum takes you from absolute beginner to advanced administrator with a smooth learning curve.

Bonus Resources Included

  • Linux Command Reference Guide - Comprehensive cheat sheet

  • Shell Scripting Templates - Ready-to-use automation scripts

  • Ansible Role Library - Production-ready playbook examples

  • AWS Setup Documentation - Step-by-step cloud configuration guides

  • Troubleshooting Playbooks - Common issues and solutions

  • Interview Preparation Guide - Linux admin interview questions and answers

  • Practice Datasets - Real log files and sample data for exercises

Your Learning Journey

Week 1-2: Foundation

Master basic commands, file system navigation, permissions, and text processing

Week 3-4: Intermediate Skills

System monitoring, networking fundamentals, SSH, remote server management

Week 5-6: Advanced Administration

Log analysis, application management, performance tuning, troubleshooting

Week 7-8: Automation Mastery

Ansible server automation, Python scripting, enterprise-scale deployments

Student Success Stories

"This course transformed my career. Within 3 months of completion, I landed a DevOps engineer role with a 40% salary increase. The hands-on projects were invaluable during interviews." - DevOps Engineer

"Finally, a Linux course that teaches real-world skills, not just theory. I automated our entire server provisioning process using Ansible techniques from this course." - System Administrator

"As a Windows developer, I was intimidated by Linux. This course made it approachable and practical. Now I confidently deploy applications on AWS." - Full Stack Developer

"The troubleshooting section alone was worth the investment. I can now debug production issues that would have stumped me before." - Site Reliability Engineer

Enroll Today & Accelerate Your IT Career

Don't let limited Linux knowledge hold back your career growth. Join thousands of successful students who've mastered Linux fundamentals and advanced to high-paying DevOps, system administration, and cloud engineering roles.

What's Included:

  • Lifetime access to all course content

  • Regular updates with new Linux features and tools

  • Downloadable scripts, templates, and resources

  • Practice environments and datasets

  • Certificate of completion

  • Instructor support and Q&A

Risk-Free Guarantee:

30-Day Money-Back Guarantee - If you're not satisfied, get a full refund. No questions asked.

Start Your Linux Mastery Journey Now

Transform from Linux novice to confident system administrator. Master the command-line skills that top tech companies demand. Take control of your IT career trajectory.

Enroll now and build expertise that lasts a lifetime!

Frequently Asked Questions

Q: Do I need prior Linux experience?
A: No! This course starts from absolute basics and builds up progressively.

Q: Will this work on Windows?
A: Yes! Detailed instructions for Windows Subsystem for Linux (WSL) are included.

Q: Is AWS required? What about costs?
A: AWS is used for cloud practice but all exercises stay within the free tier. Alternative local options are also provided.

Q: How long does the course take?
A: At 5-10 hours per week, most students complete it in 6-8 weeks. Lifetime access means you can learn at your own pace.

Q: Will this prepare me for Linux certifications?
A: Yes! This course covers foundational topics tested in Linux certifications like CompTIA Linux+, LPIC-1, and RHCSA.

Q: Do I need programming experience?
A: No programming background is required. The Python section starts from basics and is optional.

Q: What if I get stuck?
A: You'll have access to instructor support, community forums, and detailed troubleshooting guides.

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Syllabus

  • Introduction to Linux Shell Commands for Absolute Beginners using Ubuntu 20.04
  • Setup Ubuntu Linux on Windows using wsl
  • Getting Started with Linux shell commands
  • Listing files and folders in Linux File System using ls
  • Filtering files and folders in Linux File System
  • Processing Data in Files using Linux Commands
  • Understanding File and Folder Properties
  • Managing Files and Folders in Linux
  • Basic System Commands in Linux
  • Comparing Files and Folders in Linux using diff
  • Variables and Environment Variables in Linux
  • Getting Started with AWS
  • Overview of SSH to interact with remote servers
  • Basic Networking Concepts using Linux
  • Copy Files and Folders between Multiple Systems using scp
  • Troubleshooting Application issues using find and grep in Linux
  • Monitoring and Managing Linux Servers using System Commands
  • Overview of Developer Tools for Linux using Windows
  • Overview of Ansible for Server Automation
  • Overview of Automation using Python on Linux

Taught by

Durga Viswanatha Raju Gadiraju and Itversity Support

Reviews

4.5 rating at Udemy based on 1893 ratings

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