
Set up Ubuntu environments on Windows or Mac using Docker, then master Linux shell basics, file and folder navigation, and core environment variables for effective command work.
Join ITVersity's LinkedIn groups for data engineering on cloud (more than 5000 members) and DevOps engineering (1000 plus members), and benefit from a YouTube channel offering free content.
Set up Ubuntu-based virtual machines on Windows using WSL, manage lifecycles, access Windows file system from Linux, install packages with apt, and practice essential Linux commands.
Learn to manage the lifecycle of WSL virtual machines on Windows 10 or 11 by starting, stopping, terminating, and shutting down distributions such as Ubuntu 20.04 with WSL commands.
Learn to delete and reinstall Ubuntu-based WSL distributions on Windows 10/11, including unregistering a distro, verifying running states, and reinstalling Ubuntu 20.04 and 18.04.
Install Ubuntu-based virtual machines via WSL on Windows, update apt repositories, install python3-venv, and create Python virtual environments.
Learn to access Linux command help using --help and man pages, and review common commands like ls, grep, and cat with their control arguments, prioritizing official documentation over Google.
Explain fully qualified or absolute paths and relative paths for files and folders in Linux and Windows contexts, including navigation with cd, dot, dot dot, and current and parent directories.
Set up a Python virtual environment and install Jupyter Lab in an Ubuntu-based VM to access Linux command help via a browser, enabling seamless lab exploration.
Explore how the ls command lists files and folders, with default name-based ascending sort (numeric, uppercase, lowercase), and how to reverse order using -r or --reverse.
Learn to list files and folders recursively in Linux using ls -R. Apply -l and -a for details and hidden files across data underscore DB and its subfolders.
Learn how Linux represents file sizes in human readable form, from bytes to kilobytes, megabytes, gigabytes, terabytes, and beyond, using 1024-based conversions and the readable output option.
Learn practical grep and piping techniques to filter the output of the live command, count matching lines with wc -l, perform case-insensitive searches, and use end-of-line matching for log files.
Master piping in Linux to filter command output by chaining ls and grep with wc -l, passing results between commands for advanced filtering and pattern matching.
Master the wc command in Linux to count lines, words, and characters across files and pipelines, using options like -l, -w, -c, and -m, with practical examples.
Explore filtering files and folders with the Linux find command by size, time, type, and name patterns, and learn to list only files using -type f and -size with units.
Explore how Linux processes data in files by distinguishing binary from text formats and examining delimited text types like CSV, TSV, PSV, and JSON lines.
Install Apache two on Ubuntu 20x, verify web access, and observe continuous log generation using curl, telnet, and the access log with tail -F.
Preview text data with the more command to scroll and refresh output, compare it with head and tail, and explore control options like -c, -p, and space to scroll.
Learn to sort data in Linux files using the sort command, specifying keys with -k or --key and delimiters with -t, and applying numeric (-n) and reverse (-r) options.
Explore how to extract unique data in Linux using sort -u and the uniq command, with cut and wc to derive unique order statuses and dates from an orders dataset.
Learn to get unique values in Linux using the uniq command, pre sort data, and use options like -c and --ignore-case to count and filter consecutive duplicates.
Explore properties of files and folders, interpret permissions, owners, and groups, and learn to read details with ls -l in this short section.
Explore the ls -l output to identify file, directory, or symlink type, owner, group, and other permissions, plus size and last modified time for troubleshooting.
Learn how file ownership works in Linux by creating files with touch, identifying the logged-in user, and understanding how owner and group determine who can delete files, including root privileges.
Explore how the owner and group shape file and folder permissions in Linux. See how group membership determines inherited permissions when creating files and directories.
Learn to create Linux users with the useradd command, set a primary group with -g, enable home directories with -m, and delete users with optional home removal.
Modify linux users with the usermod command to add supplementary groups such as support while keeping a primary group such as dev, using -g and -G to manage these memberships.
Explore the properties of files and folders in Linux and decode permission details for owner, group, and others using binary to decimal conversion, umask, and chmod.
Explore file and folder permissions in Linux, focusing on owner, group, and others, and learn to use sudo and chmod to set 750 permissions on home directories.
Master Linux file and folder properties using ls -l to read permissions, owner, group, and timestamps. Learn how umask and inheritance affect creation, and how to troubleshoot permission denied issues.
Explore Ubuntu 20x file and folder management, creating items with touch and mkdir, copying with cpp, moving with vrm, backing up with tar, and automating with find and org.
Use the touch command to create empty files, update timestamps on existing files, and generate multiple files with naming patterns and ranges, noting permissions and owner and group.
Automate organizing Linux files by using awk and cp to copy music files into album-based folders, extracting album names and song titles from filenames, and executing batch bash commands.
Learn how to move files in linux with mv, including moving and renaming, comparisons to cp, using patterns for multiple files, and verifying results.
Learn to create and manage backups with tar in Linux, including creating uncompressed and compressed tarballs of a data folder, using verbose feedback, listing contents, and preparing for restoration.
Learn moving folders in Linux using the mv command, including overwriting existing targets with -f and recursively changing ownership with -R via sudo chown, while handling not empty destination directories.
Discover how to use the rm command to delete files and directories in Linux, including -f, -r/--recursive, and -d for empty directories, plus interactive prompts and aliases.
Learn to delete files with rm in the Linux file system, use -i for interactive prompts, and set up aliases to enforce prompts in production.
Learn to use aliases to make rm interactive by default on Linux, and persist behavior across sessions via .bashrc or profile, while knowing when to apply -f for force deletes.
Learn to delete files and folders in Linux with rm, using -f for force, -r for recursive deletion of non empty directories, and -d for empty directories.
Restore the deleted data folder by copying the uncompressed tarball from /tmp to the home directory, list with tar -tvf, and extract with tar -xvf.
Learn to delete unwanted files with find and rm by name patterns and modification times, crafting practical one-liners that target specific extensions and verify results.
Generate daily log files from 2020 to 2021 using touch with a _YYYYMMDD.log pattern, then use find to delete files by modified timestamp on Linux servers.
Learn to delete files and folders in Linux by using the find command with modified-time criteria and rm, helping administrators automate log file cleanup.
Explore the core components of a computer, including the CPU, memory, storage, motherboard, and network interface card, and learn to view these details in Windows and Linux with basic commands.
Learn how to use the df -h command to view storage details on a Linux system running under Windows Subsystem for Linux, including mounting points and drive capacities.
Learn to use the du command in Linux to measure disk usage, display human-readable sizes, and summarize storage by folder or file on Ubuntu.
Learn to compare two sample files in Linux using diff and read its output, including the less-than and greater-than indicators and line groups.
Learn how to use diff in Linux to compare files while ignoring blank lines and white space, using options like -B, -Z, and -W to control differences.
Learn how to compare files in Linux using diff while ignoring case, whitespace, and blank lines, with examples of the -i, -W, and -B options.
Explore comparing files in Linux with diff, focusing on unified (-u) and side by side (-y) outputs, and learn to read indicators, timestamps, and options like -B and -W.
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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