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🐧 Linux for DevOps: Complete Beginner to Advanced Guide with Commands, Networking, Users, Permissions, AWK, SED, LVM & More

Linux is one of the most important technologies for anyone learning DevOps, Cloud, AWS, Docker, Kubernetes, CI/CD, or System Administration.

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🐧 Linux for DevOps: Complete Beginner to Advanced Guide with Commands, Networking, Users, Permissions, AWK, SED, LVM & More
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πŸ‘‹ Hi, I’m Hritik Ranjan β€” a B.Tech CSE student and a passionate tech enthusiast focused on Quality Engineering, AI/ML, Cybersecurity, and DevOps. πŸ’‘ I enjoy building and testing scalable, secure, and intelligent systems that solve real-world problems. My expertise and interests include: πŸ”Ή Quality Assurance & Testing Hands-on experience in manual and automation testing using Selenium & Java, ensuring high-quality and reliable applications. πŸ”Ή Artificial Intelligence & Machine Learning Exploring advanced algorithms and developing intelligent systems for practical use cases. πŸ”Ή Cybersecurity Focused on vulnerability assessment, security testing, and system hardening. πŸ”Ή Web Development Building responsive and user-friendly applications using modern technologies. πŸ”Ή Data Science Analyzing complex data to extract actionable insights. πŸ’Ό Key Projects: πŸš€ Blindness Detection System Applied computer vision techniques to detect blindness-related conditions. πŸš€ AI-Powered Rail Madad Enhancement Developed an intelligent complaint management system to improve railway customer service. πŸš€ Interactive Applications Built multiple projects like quiz apps, calculators, and productivity tools. 🌱 I’m continuously learning and improving my skills in DevOps, Cloud, and Automation to become a well-rounded engineer. 🀝 Open to collaborations, internships, and opportunities in QA, DevOps, AI/ML, and Cybersecurity. πŸ“« Let’s connect: hritikranjan1408@gmail.com

If you are starting your DevOps journey, you will quickly realize that many tools and platforms run on Linux.

For example:

AWS EC2
Docker
Kubernetes
Jenkins
Nginx
Apache
Terraform
Ansible
Prometheus
Grafana
Git

All of these commonly involve Linux environments.

But many beginners start learning DevOps tools directly without properly understanding Linux.

That creates problems later.

You may know how to create a Docker container, but if you don't understand:

Linux processes
File permissions
Users and groups
Networking
SSH
Disk management
Logs
File systems
Shell commands

troubleshooting becomes difficult.

This guide is designed to solve that problem.

We will start from the basics and gradually move toward advanced Linux commands and storage management, with practical examples throughout.


πŸ“Œ What You Will Learn

In this complete Linux guide, we will cover:

  1. What is the Internet?

  2. How does the Internet work?

  3. What are servers?

  4. Data centers

  5. Optical fiber and submarine cables

  6. Client-server architecture

  7. What is Linux?

  8. Linux vs Windows

  9. Linux distributions

  10. Linux server

  11. Setting up a Linux server

  12. Connecting to a Linux server using SSH

  13. Linux terminal

  14. Basic Linux commands

  15. Directory structure

  16. File and directory management

  17. Creating files

  18. Copying files

  19. Moving and renaming files

  20. Deleting files

  21. Hard links

  22. Soft links

  23. Text processing

  24. cat

  25. tee

  26. head

  27. tail

  28. sort

  29. vi/vim

  30. Users and groups

  31. Root user

  32. sudo

  33. Creating users

  34. Password management

  35. Switching users

  36. Deleting users

  37. Groups

  38. Linux file permissions

  39. Read, Write, Execute

  40. Owner, Group, Others

  41. Numeric permissions

  42. chmod

  43. File transfer

  44. scp

  45. rsync

  46. Linux networking commands

  47. ip

  48. ping

  49. netstat

  50. ss

  51. traceroute

  52. arp

  53. curl

  54. wget

  55. DNS basics

  56. grep

  57. find

  58. awk

  59. sed

  60. Linux storage

  61. Block devices

  62. Mounting

  63. lsblk

  64. df

  65. du

  66. Filesystems

  67. mkfs

  68. mount

  69. umount

  70. LVM

  71. Physical Volume

  72. Volume Group

  73. Logical Volume

  74. LVM resizing

  75. DevOps use cases

  76. Linux troubleshooting

  77. Common mistakes

  78. Linux cheat sheet

  79. Linux interview questions


1. 🌐 What Is the Internet?

Before understanding Linux servers, let's understand something more fundamental:

What actually happens when you open a website?

Suppose you open:

https://example.com

Your browser needs to communicate with a server somewhere on the Internet.

A simplified flow is:

Your Computer
      |
      v
   Router
      |
      v
 Internet
      |
      v
 DNS
      |
      v
Web Server
      |
      v
 Website Response
      |
      v
 Your Browser

The Internet is essentially a massive network connecting computers and networks around the world.


2. 🌍 How Does the Internet Work?

The Internet is not one single machine.

It is a network of:

  • Computers

  • Servers

  • Routers

  • Switches

  • Data centers

  • Internet Service Providers

  • Fiber-optic networks

  • Submarine cables

  • Wireless networks

When you access a website, data travels through multiple networks before reaching the destination.

A simplified example:

Laptop
  ↓
Wi-Fi Router
  ↓
ISP
  ↓
Internet Backbone
  ↓
Data Center
  ↓
Server

The response travels back through the network.


3. 🌊 How Does Internet Data Travel Between Countries?

A common misconception is:

"Most Internet traffic travels through satellites."

In reality, a huge amount of international Internet traffic travels through fiber-optic submarine cables laid across the ocean floor.

Image Image Image Image Image

These cables connect different continents.

For example:

Asia
 |
 | Submarine Cable
 |
Europe

or:

India
  |
  ↓
Undersea Cable
  |
  ↓
Singapore
  |
  ↓
United States

These fiber-optic cables transmit data using light.


4. 🏒 What Is a Data Center?

A data center is a facility containing computing infrastructure.

It can contain:

  • Servers

  • Storage systems

  • Network equipment

  • Power systems

  • Cooling systems

  • Security systems

A simplified data center:

             DATA CENTER

 β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
 β”‚                             β”‚
 β”‚  Server  Server  Server     β”‚
 β”‚                             β”‚
 β”‚  Server  Server  Server     β”‚
 β”‚                             β”‚
 β”‚  Storage  Network Equipment β”‚
 β”‚                             β”‚
 β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Cloud providers such as AWS operate large numbers of data centers around the world.


5. πŸ–₯️ What Is a Server?

A server is a computer that provides services or resources to other computers.

For example:

Web Server
Database Server
File Server
DNS Server
Mail Server
Application Server

Suppose you open a website.

Your browser acts as a client:

Client
  |
  | HTTP Request
  v
Web Server
  |
  | HTTP Response
  v
Client

This is called the client-server model.


6. 🐧 What Is Linux?

Linux is an open-source operating-system family built around the Linux kernel.

The Linux kernel is responsible for interacting with hardware and providing core operating-system functionality.

In everyday DevOps discussions, when people say "Linux," they often mean a complete Linux distribution such as:

Ubuntu
Debian
Rocky Linux
AlmaLinux
Fedora
RHEL
Amazon Linux

7. Linux Kernel vs Linux Distribution

These terms are often confused.

Linux Kernel

The kernel is the core component.

It manages things such as:

  • CPU

  • Memory

  • Processes

  • Devices

  • Networking

  • System calls

Linux Distribution

A distribution combines the Linux kernel with other software.

For example:

Ubuntu
   |
   +── Linux Kernel
   +── GNU utilities
   +── Package Manager
   +── Shell
   +── System utilities
   +── Applications

8. Why Is Linux Important for DevOps?

Linux is extremely important in DevOps because many:

  • Cloud servers

  • Containers

  • Kubernetes nodes

  • CI/CD systems

  • Web servers

  • Databases

  • Monitoring systems

run on Linux.

A typical DevOps environment might look like:

Developer
   ↓
GitHub
   ↓
Jenkins
   ↓
Linux Server
   ↓
Docker
   ↓
Kubernetes
   ↓
Application

So Linux knowledge becomes the foundation for many DevOps tasks.


9. Popular Linux Distributions

Some popular distributions include:

Distribution Common Usage
Ubuntu Servers, cloud, beginners
Debian Servers, stability
RHEL Enterprise
Rocky Linux Enterprise-compatible environments
AlmaLinux Enterprise-compatible environments
Fedora Modern Linux development
Amazon Linux AWS environments

For beginners, Ubuntu Server is a very good starting point.


10. Linux Server

A Linux server is simply a server running a Linux distribution.

For example:

AWS EC2
   ↓
Ubuntu Server
   ↓
Nginx
   ↓
Website

or:

AWS EC2
   ↓
Ubuntu
   ↓
Docker
   ↓
Application Container

11. Setting Up a Linux Server

You can practice Linux using:

Local Machine

Install Linux using:

  • VirtualBox

  • VMware

  • WSL

Cloud

Create a virtual server using:

  • AWS EC2

  • Azure VM

  • Google Cloud VM

For DevOps practice, cloud VMs are especially useful because they simulate real server environments.


12. Connecting to a Linux Server Using SSH

SSH stands for:

Secure Shell

It allows you to securely connect to a remote machine.

Example:

ssh username@server-ip

For example:

ssh ubuntu@203.0.113.10

With an SSH private key:

ssh -i my-key.pem ubuntu@203.0.113.10

The general flow is:

Your Laptop
     |
     | SSH
     ↓
Internet
     |
     ↓
Linux Server

13. Linux Terminal

After connecting to a Linux server, you normally interact with the system through the terminal.

Example:

ubuntu@server:~$

This is called a shell prompt.

You can execute commands such as:

pwd
ls
cd
mkdir
touch
cp
mv
rm

14. What Is a Shell?

A shell is a program that provides a command-line interface for interacting with the operating system.

Popular shells include:

Bash
Zsh
Fish

Bash is extremely common on Linux systems.

Example:

echo "Hello Linux"

The shell interprets the command and asks the operating system to perform the requested operation.


15. Linux Basic Commands

Let's start with the most important commands.


pwd

pwd means:

Print Working Directory

It tells you where you currently are.

pwd

Example:

/home/ubuntu

16. ls

ls displays files and directories.

ls

Example:

app
backup
file.txt
logs

Detailed listing

ls -l

Show hidden files

ls -a

Combine options

ls -la

17. Understanding ls -l

Example:

-rwxr-xr-- 1 ubuntu developers 1200 Sep 10 script.sh

This contains information about:

Permissions
Links
Owner
Group
Size
Date
Filename

We will understand permissions in detail later.


18. cd

cd means:

Change Directory

Example:

cd /var/log

Go back one directory:

cd ..

Go to home directory:

cd ~

Return to the previous directory:

cd -

19. mkdir

mkdir creates a directory.

mkdir projects

Create nested directories:

mkdir -p devops/docker/project

20. touch

touch can create an empty file.

touch app.txt

Create multiple files:

touch file1.txt file2.txt file3.txt

It can also update file timestamps when used on an existing file.


21. cat

cat displays file contents.

cat app.txt

Example:

Hello Linux
Welcome to DevOps

You can also concatenate files:

cat file1.txt file2.txt

22. cp

cp means:

Copy

Copy a file:

cp app.txt backup.txt

Copy to another directory:

cp app.txt /tmp/

Copy a directory recursively:

cp -r project /backup/

The -r option is required for recursively copying directories.


23. mv

mv means:

Move

Move a file:

mv app.txt /tmp/

It can also rename files.

mv old.txt new.txt

So:

mv = Move + Rename

24. rm

rm removes files.

rm app.txt

Remove a directory recursively:

rm -r project/

Force removal:

rm -rf project/

⚠️ Be extremely careful with:

rm -rf

A mistake in the path can delete important data.


25. Linux Directory Structure

Linux uses a hierarchical filesystem.

Image Image Image Image Image

Important directories include:

/
β”œβ”€β”€ bin
β”œβ”€β”€ boot
β”œβ”€β”€ dev
β”œβ”€β”€ etc
β”œβ”€β”€ home
β”œβ”€β”€ lib
β”œβ”€β”€ opt
β”œβ”€β”€ proc
β”œβ”€β”€ root
β”œβ”€β”€ run
β”œβ”€β”€ sbin
β”œβ”€β”€ tmp
β”œβ”€β”€ usr
└── var

26. Important Linux Directories

/

Root of the filesystem.

Everything starts here.


/home

Contains users' home directories.

Example:

/home/ubuntu
/home/devops
/home/testuser

/root

Home directory of the root user.


/etc

Contains system and application configuration files.

Examples:

/etc/ssh/
/etc/nginx/
/etc/hosts

/var

Contains variable data.

Common examples:

/var/log
/var/lib
/var/cache

Logs are commonly found under:

/var/log

/tmp

Temporary files.


/usr

Contains many user-space programs, libraries, and shared resources.


/opt

Often used for optional or third-party software.


/dev

Contains device files.


/proc

A virtual filesystem exposing process and kernel information.


27. Absolute vs Relative Paths

Absolute Path

Starts from /.

Example:

/home/ubuntu/project/app.py

Relative Path

Starts from the current directory.

Example:

project/app.py

Suppose you're currently at:

/home/ubuntu

Then:

project/app.py

refers to:

/home/ubuntu/project/app.py

28. Hidden Files

Linux files beginning with . are hidden.

Example:

.bashrc
.gitconfig
.ssh

View them:

ls -a

29. Hard Links and Soft Links

Linux supports two important types of links:

Hard Link
Soft Link / Symbolic Link
Image Image Image Image

30. Soft Link

A symbolic link is similar to a shortcut.

Create one:

ln -s original.txt shortcut.txt

Example:

original.txt
     ↑
     |
shortcut.txt

If the original file is removed:

rm original.txt

the symbolic link normally becomes broken.


31. Hard Link

Create a hard link:

ln original.txt hardlink.txt

Both directory entries point to the same underlying file data/inode.

If the original filename is deleted:

rm original.txt

the data remains accessible through:

hardlink.txt

as long as another hard link still references the inode.


32. Hard Link vs Soft Link

Feature Hard Link Soft Link
Points to Same inode/data Path to target
ln Yes No
ln -s No Yes
Can cross filesystems Generally no Yes
Works with directories Normally no Yes
Target deleted Still works Becomes broken

33. Text Processing in Linux

Linux provides powerful commands for reading and processing text.

Important commands include:

cat
less
head
tail
sort
grep
awk
sed
cut
uniq
wc
tee

These commands are extremely useful for DevOps because logs and configuration files are often plain text.


34. head

head displays the beginning of a file.

head app.log

Show first 20 lines:

head -n 20 app.log

35. tail

tail displays the end of a file.

tail app.log

Show last 20 lines:

tail -n 20 app.log

36. tail -f

One of the most useful DevOps commands:

tail -f app.log

It continuously displays new lines added to the file.

This is extremely useful for monitoring logs.

Example:

Application started
User logged in
Database connected
Request received

As new log entries appear, you see them immediately.


37. sort

sort sorts lines.

Example file:

banana
apple
orange

Command:

sort fruits.txt

Output:

apple
banana
orange

Numeric sorting:

sort -n numbers.txt

Reverse:

sort -r fruits.txt

38. tee

tee reads input and writes it both to the terminal and a file.

Example:

echo "Hello DevOps" | tee output.txt

You see:

Hello DevOps

and the same content is written to:

output.txt

Append instead of overwrite:

echo "Another line" | tee -a output.txt

39. Linux vi / vim

vi is a terminal-based text editor.

Open a file:

vi file.txt

Important modes:

Normal Mode
Insert Mode
Command Mode

40. Basic vi Commands

Press:

i

to enter insert mode.

Type your content.

Press:

Esc

to return to normal mode.

Save:

:w

Save and quit:

:wq

Quit without saving:

:q!

41. Linux Users

Linux is a multi-user operating system.

Multiple users can exist on the same server.

Example:

root
ubuntu
devops
developer
jenkins

This is very important for server security.


42. Root User

The root user is the superuser.

Root has extensive privileges over the system.

For example, root can:

Create users
Delete users
Install software
Change permissions
Modify system configuration
Stop services
Access protected files

Because root has powerful privileges, you should avoid using it unnecessarily.


43. sudo

sudo allows an authorized user to execute a command with elevated privileges.

Example:

sudo apt update

Instead of switching permanently to root, you can run one command with elevated privileges.

Example:

sudo systemctl restart nginx

44. Creating a User

Create a user:

sudo useradd devops

Create a home directory as well:

sudo useradd -m devops

45. Setting a Password

sudo passwd devops

Linux asks you to enter the password.


46. Switching Users

Use:

su devops

Switch to another user with a login environment:

su - devops

The - is important because it starts a login shell and loads the target user's environment appropriately.


47. Delete a User

sudo userdel devops

Delete the user and their home directory:

sudo userdel -r devops

Be careful because deleting the home directory removes its contents.


48. Linux Groups

Groups are used to organize users and permissions.

Example:

Developers
QA
DevOps
Database
Admins

Create a group:

sudo groupadd devops

Add a user:

sudo gpasswd -a devopsuser devops

On many modern Linux distributions, you will also commonly see:

sudo usermod -aG devops devopsuser

The -aG form is especially important because -a preserves the user's existing supplementary groups.


49. Remove a Group

sudo groupdel devops

50. Check Current User

whoami

Example:

ubuntu

51. Check User Information

id

Example:

uid=1000(ubuntu) gid=1000(ubuntu) groups=1000(ubuntu),27(sudo)

This tells you:

UID
GID
Groups

52. Linux File Permissions

One of the most important Linux concepts for DevOps is:

File permissions

Every file and directory has permissions.

The three basic permissions are:

r = Read
w = Write
x = Execute

And permissions are generally defined for:

Owner
Group
Others

53. Understanding Permissions

Suppose:

ls -l script.sh

returns:

-rwxr-xr--

Break it down:

- rwx r-x r--
  β”‚   β”‚   β”‚
  β”‚   β”‚   └── Others
  β”‚   └────── Group
  └────────── Owner

54. Permission Meaning

Read

r = 4

Allows reading the file.

Write

w = 2

Allows modifying the file.

Execute

x = 1

Allows execution.


55. Numeric Permissions

Add the values:

Read    = 4
Write   = 2
Execute = 1

Therefore:

rwx = 4 + 2 + 1 = 7
rw- = 4 + 2     = 6
r-x = 4 + 1     = 5
r-- = 4         = 4

56. Permission 755

When you see:

chmod 755 script.sh

it means:

Owner  = 7 = rwx
Group  = 5 = r-x
Others = 5 = r-x

So:

755
β”‚β”‚β”‚
││└── Others
│└─── Group
└──── Owner

57. Permission 644

644

means:

Owner  β†’ rw-
Group  β†’ r--
Others β†’ r--

This is commonly appropriate for ordinary readable files.


58. chmod

chmod means:

Change Mode

Example:

chmod 755 script.sh

Make a script executable:

chmod +x script.sh

Remove write permission for others:

chmod o-w file.txt

59. Change Owner

The chown command changes file ownership.

Example:

sudo chown ubuntu app.txt

Change owner and group:

sudo chown ubuntu:devops app.txt

60. File Transfer in Linux

DevOps engineers frequently need to transfer files between machines.

Two important tools are:

scp
rsync

61. scp

scp means:

Secure Copy

Copy local file to remote server:

scp app.txt ubuntu@server:/home/ubuntu/

Using an SSH key:

scp -i my-key.pem app.txt ubuntu@server:/home/ubuntu/

Copy a remote file to your local machine:

scp ubuntu@server:/home/ubuntu/app.txt .

62. Copy a Directory with SCP

Use:

scp -r project/ ubuntu@server:/home/ubuntu/

The -r option recursively copies directories.


63. rsync

rsync is useful for synchronizing files and directories efficiently.

Example:

rsync -av project/ ubuntu@server:/home/ubuntu/project/

Common options:

-a = archive mode
-v = verbose
-z = compression

Example:

rsync -avz project/ ubuntu@server:/home/ubuntu/project/

64. SCP vs Rsync

SCP Rsync
Simple file copying Synchronization
Easy to understand More efficient for repeated transfers
Transfers files Transfers changed data efficiently
Good for simple tasks Excellent for backups/deployments

65. Linux Networking

Networking knowledge is extremely important for DevOps.

You should understand:

IP Address
MAC Address
Port
DNS
Gateway
Routing
TCP
UDP
HTTP
HTTPS
SSH

66. ip

The modern command for network configuration and inspection is:

ip

Show addresses:

ip addr

Show routes:

ip route

Show links:

ip link

67. ping

ping checks basic network reachability using ICMP.

Example:

ping google.com

or:

ping 8.8.8.8

Example:

64 bytes from ...

This can help determine whether a destination is reachable, although a failed ping does not necessarily mean a service is unavailable because ICMP may be blocked.


68. ss

ss is a modern tool for inspecting sockets and network connections.

Example:

ss -tuln

This can show listening TCP/UDP sockets.

Common options:

-t = TCP
-u = UDP
-l = listening
-n = don't resolve service names

69. netstat

You may still encounter:

netstat

Example:

netstat -tulnp

However, on many modern Linux systems, ss is preferred.


70. Understanding Ports

A server can run multiple network services.

For example:

SSH      β†’ 22
HTTP     β†’ 80
HTTPS    β†’ 443
Jenkins  β†’ 8080

Example:

Client
  |
  | TCP 443
  ↓
Web Server

A port identifies a network service endpoint.


71. traceroute

traceroute shows the network hops between your machine and a destination.

Example:

traceroute google.com

Conceptually:

Your Computer
     ↓
Router
     ↓
ISP
     ↓
Router
     ↓
Router
     ↓
Destination

This is useful for investigating routing and latency problems.


72. arp

ARP stands for:

Address Resolution Protocol

In IPv4 local networks, ARP helps map an IP address to a MAC address.

You may encounter:

arp -a

On modern Linux, similar information can be inspected with:

ip neigh

Example:

192.168.1.10 β†’ MAC Address

73. curl

curl is one of the most important commands for DevOps.

It transfers data using URLs and supports protocols such as HTTP and HTTPS.

Example:

curl https://example.com

Get only response headers:

curl -I https://example.com

Test an API:

curl https://api.example.com/users

74. curl POST Request

Example:

curl -X POST https://api.example.com/users \
     -H "Content-Type: application/json" \
     -d '{"name":"Hritik"}'

This is extremely useful when testing REST APIs from a server.


75. curl + jq

APIs often return JSON.

Example:

curl https://api.example.com/users

You can pipe the output into:

jq

Example:

curl https://api.example.com/users | jq

This makes JSON easier to read.


76. wget

wget is commonly used for downloading files.

Example:

wget https://example.com/file.zip

Download with a specific name:

wget -O application.zip https://example.com/file.zip

77. grep

grep searches text.

Suppose:

application.log

contains:

INFO Application started
ERROR Database connection failed
INFO User logged in
ERROR API request failed

Search for errors:

grep "ERROR" application.log

78. Useful grep Options

Case-insensitive:

grep -i "error" application.log

Show line numbers:

grep -n "ERROR" application.log

Recursive search:

grep -r "database" /var/log/

Invert match:

grep -v "INFO" application.log

79. find

find searches for files and directories.

Find a file:

find /home -name "app.txt"

Find all .log files:

find /var/log -name "*.log"

Find files larger than 100 MB:

find / -type f -size +100M

Find files modified recently:

find /var/log -type f -mtime -1

80. grep vs find

Remember:

find β†’ Find files/directories

grep β†’ Search inside text

Example:

find /var/log -name "*.log"

finds log files.

grep "ERROR" application.log

searches inside a log file.


81. AWK

awk is one of the most powerful Linux text-processing tools.

It is particularly useful for:

  • Columns

  • Structured text

  • Reports

  • Logs

  • CSV/TSV-like data

  • Command output

Example:

Alice  DevOps  50000
Bob    QA      45000
John   Cloud   60000

Suppose we want the first column:

awk '{print $1}' employees.txt

Output:

Alice
Bob
John

82. AWK Columns

For:

Alice DevOps 50000

the fields are:

$1 β†’ Alice
$2 β†’ DevOps
$3 β†’ 50000

$0 represents the complete line.

Example:

awk '{print $1, $3}' employees.txt

Output:

Alice 50000
Bob 45000
John 60000

83. AWK with Conditions

Example:

awk '$3 > 50000 {print $1}' employees.txt

This prints employees whose third column is greater than 50000.


84. SED

sed stands for:

Stream Editor

It is useful for searching, replacing, filtering, and transforming text.

Suppose:

Hello World
Hello Linux

Replace Hello with Hi:

sed 's/Hello/Hi/g' file.txt

Output:

Hi World
Hi Linux

85. sed Editing a File

By default:

sed 's/old/new/g' file.txt

prints the modified content but doesn't modify the original file.

To edit the file in place on GNU/Linux:

sed -i 's/old/new/g' file.txt

Be careful when using -i because it modifies the original file.


86. AWK vs SED

A simple way to remember:

AWK
 ↓
Work with fields/data

SED
 ↓
Modify/transform text

Example:

AWK β†’ Extract column 3

SED β†’ Replace "dev" with "prod"

Both are extremely useful in DevOps scripts.


87. Linux Storage

Now let's move into another important DevOps topic:

Storage management

Linux servers need storage for:

  • Applications

  • Databases

  • Logs

  • Docker images

  • Backups

  • Configuration

  • User data


88. What Is a Disk?

A disk is physical or virtual storage.

Example:

Server
 |
 +── Disk 1
 |
 +── Disk 2
 |
 +── Disk 3

In cloud environments, these may be virtual block-storage devices.


89. What Is a Block Device?

A block device provides storage in blocks.

Examples include:

/dev/sda
/dev/sdb
/dev/nvme0n1

These names depend on the hardware, VM, and Linux environment.


90. lsblk

lsblk displays block devices.

lsblk

Example:

NAME        SIZE TYPE MOUNTPOINTS
nvme0n1      30G disk
β”œβ”€nvme0n1p1  29G part /
└─nvme0n1p2   1G part /boot
nvme1n1      50G disk

This helps you understand:

Disk
 ↓
Partition
 ↓
Filesystem
 ↓
Mount Point

91. What Is a Filesystem?

A filesystem organizes data on a storage device.

Common Linux filesystems include:

ext4
XFS
Btrfs

For example:

Disk
 ↓
Partition
 ↓
ext4 filesystem
 ↓
/data

92. df

df displays filesystem disk usage.

Human-readable format:

df -h

Example:

Filesystem      Size  Used Avail Use%
/dev/root        30G   15G   14G  52%

This tells you how much filesystem space is:

Total
Used
Available

93. du

du shows disk usage of files/directories.

Example:

du -sh /var/log

Find which directories consume space:

du -h --max-depth=1 /var

This is useful when a server's disk is filling up.


94. mkfs

mkfs creates a filesystem on a device.

For example:

sudo mkfs.ext4 /dev/sdb

This formats the device with an ext4 filesystem.

⚠️ Important: Formatting a device can destroy existing data. Always verify the device name before using mkfs.


95. Mounting

A filesystem must be mounted to make its contents accessible through the Linux directory tree.

Example:

sudo mkdir /data

Mount:

sudo mount /dev/sdb /data

Now:

cd /data

can access the mounted filesystem.

Conceptually:

/dev/sdb
    |
    v
Filesystem
    |
    v
/data

96. umount

To safely unmount:

sudo umount /data

Notice the command is:

umount

not:

unmount

97. Temporary vs Persistent Mount

A command such as:

mount /dev/sdb /data

may not automatically make the mount persistent across reboot.

For persistent mounts, Linux commonly uses:

/etc/fstab

Example entry:

UUID=xxxx-xxxx  /data  ext4  defaults  0  2

Using UUIDs is generally safer than relying on device names that may vary.


98. What Is LVM?

LVM stands for:

Logical Volume Manager

LVM provides a flexible way to manage storage.

Without LVM, storage might look like:

Disk
 ↓
Partition
 ↓
Filesystem
 ↓
Mount

With LVM:

Disk
 ↓
Physical Volume
 ↓
Volume Group
 ↓
Logical Volume
 ↓
Filesystem
 ↓
Mount Point
Image Image Image Image Image

99. LVM Components

There are three major components.

PV
 ↓
VG
 ↓
LV

Meaning:

PV = Physical Volume

VG = Volume Group

LV = Logical Volume

100. Physical Volume

A Physical Volume (PV) is a storage device or partition prepared for LVM.

Example:

sudo pvcreate /dev/sdb

Check:

sudo pvs

101. Volume Group

A Volume Group (VG) combines one or more physical volumes into a storage pool.

Example:

sudo vgcreate devops-vg /dev/sdb

Check:

sudo vgs

Conceptually:

/dev/sdb
/dev/sdc
    |
    v
devops-vg

102. Logical Volume

A Logical Volume is created from free space in a Volume Group.

Example:

sudo lvcreate -L 10G -n data-lv devops-vg

Now:

PV
 ↓
VG
 ↓
LV

103. Format the Logical Volume

Create an ext4 filesystem:

sudo mkfs.ext4 /dev/devops-vg/data-lv

Create mount point:

sudo mkdir /data

Mount:

sudo mount /dev/devops-vg/data-lv /data

104. Complete LVM Flow

The complete process is:

Physical Disk
     |
     v
Physical Volume
     |
     v
Volume Group
     |
     v
Logical Volume
     |
     v
Filesystem
     |
     v
Mount Point

Example:

/dev/sdb
   ↓
pvcreate
   ↓
PV
   ↓
vgcreate
   ↓
devops-vg
   ↓
lvcreate
   ↓
data-lv
   ↓
mkfs.ext4
   ↓
/data

105. Why Use LVM?

The major advantage is flexibility.

Suppose:

/data = 10 GB

and later your application requires:

/data = 20 GB

With appropriate free space and filesystem support, you can extend the logical volume and filesystem.

For example:

sudo lvextend -L +10G /dev/devops-vg/data-lv

Then resize the filesystem.

For ext4:

sudo resize2fs /dev/devops-vg/data-lv

For XFS, filesystem growth is normally performed using xfs_growfs on the mounted filesystem.


106. LVM Advantages

Flexible Storage

Logical volumes can be resized.

Storage Pooling

Multiple physical devices can contribute to a volume group.

Easier Management

Storage can be managed logically rather than being tightly tied to individual partitions.

Snapshots

LVM supports snapshots, which can be useful for certain backup and testing scenarios.


107. LVM Important Commands

Physical Volumes

pvcreate
pvs
pvdisplay

Volume Groups

vgcreate
vgs
vgdisplay

Logical Volumes

lvcreate
lvs
lvdisplay
lvextend
lvreduce

Filesystems

mkfs
mount
umount
df

108. Linux Logs

Logs are extremely important for DevOps troubleshooting.

Common location:

/var/log

Examples can include:

/var/log/syslog
/var/log/auth.log

The exact files depend on your Linux distribution and logging system.


109. Monitoring Logs

Use:

tail -f /var/log/syslog

Search errors:

grep -i "error" /var/log/syslog

Find recent entries:

tail -n 100 /var/log/syslog

This is a common troubleshooting workflow.


110. Linux Troubleshooting Workflow

Suppose an application is not working.

Don't randomly run commands.

Follow a structured approach.

Step 1 β€” Check the process

ps aux

Step 2 β€” Check listening ports

ss -tuln

Step 3 β€” Check logs

tail -f application.log

Step 4 β€” Check disk

df -h

Step 5 β€” Check memory

free -h

Step 6 β€” Check CPU/processes

top

or:

htop

if installed.

Step 7 β€” Test the service

curl http://localhost:8080

This systematic approach is much better than guessing.


111. Useful Linux System Commands

Check memory

free -h

Check CPU/processes

top

Check hostname

hostname

Check OS information

cat /etc/os-release

Check kernel

uname -r

Check uptime

uptime

Check current date

date

112. Linux + DevOps: Real-World Example

Imagine you're deploying a Dockerized application on AWS EC2.

Your architecture might look like:

Developer
   |
   v
GitHub
   |
   v
Jenkins
   |
   v
AWS EC2
   |
   +── Linux
   |
   +── Docker
   |
   +── Nginx
   |
   +── Application
   |
   +── Logs
   |
   +── Storage

You might use Linux commands to:

Check disk
Check memory
Inspect logs
Change permissions
Create users
Transfer files
Check ports
Test APIs
Manage services
Mount storage
Troubleshoot applications

That's why Linux is fundamental to DevOps.


113. Real DevOps Troubleshooting Example

Suppose your website is not opening.

You could follow:

Website Not Working
       |
       v
Is server reachable?
       |
      ping
       |
       v
Is application running?
       |
      ps
       |
       v
Is port listening?
       |
      ss
       |
       v
Is firewall/security group correct?
       |
       v
Check application logs
       |
      grep
       |
       v
Test locally
       |
      curl

This is how Linux knowledge directly helps DevOps engineers.


114. Most Important Linux Commands Cheat Sheet

Category Commands
Navigation pwd, ls, cd
Files touch, cp, mv, rm
Directories mkdir, rmdir
Reading cat, less, head, tail
Editing vi, vim
Text grep, awk, sed, sort, tee
Search find, locate
Users useradd, passwd, userdel, su
Groups groupadd, gpasswd, groupdel
Permissions chmod, chown, chgrp
Networking ip, ping, ss, traceroute
HTTP/API curl, wget
Transfer scp, rsync
Storage lsblk, df, du, mount, umount
LVM pvcreate, vgcreate, lvcreate, pvs, vgs, lvs
System uname, free, top, uptime
Services systemctl, journalctl

115. Linux Commands You Should Practice

If you're a beginner, don't just read these commands.

Open a Linux terminal and practice.

Day 1

pwd
ls
cd
mkdir
touch
cat
cp
mv
rm

Day 2

head
tail
sort
tee
grep
find

Day 3

useradd
passwd
su
id
groupadd
gpasswd

Day 4

chmod
chown
ls -l

Day 5

ip
ping
ss
curl
wget
scp

Day 6

awk
sed

Day 7

lsblk
df -h
du -sh
mount
umount

Then move to:

LVM
Docker
Jenkins
Kubernetes
AWS

116. Linux Interview Questions for Beginners

Q1. What is Linux?

Linux is an open-source operating-system ecosystem built around the Linux kernel and distributed through distributions such as Ubuntu, Debian, and RHEL.


Q2. What is the Linux kernel?

The kernel is the core component responsible for managing hardware resources and providing essential services to applications.


Q3. What is a Linux distribution?

A distribution packages the Linux kernel with system utilities, libraries, package-management tools, and applications.


Q4. What is SSH?

SSH is a secure protocol used to remotely access and manage systems.


Q5. What is the root user?

Root is the Linux superuser with extensive administrative privileges.


Q6. What is sudo?

sudo allows an authorized user to execute commands with elevated privileges.


Q7. What is chmod?

chmod changes file or directory permissions.


Q8. What does 755 mean?

Owner  β†’ rwx
Group  β†’ r-x
Others β†’ r-x

A hard link references the same inode/data, while a symbolic link references the target through a pathname.


Q10. What is grep?

grep searches text for matching patterns.


Q11. What is AWK?

AWK is a text-processing language particularly useful for processing structured, field-based data.


Q12. What is SED?

SED is a stream editor used for filtering and transforming text.


Q13. What is LVM?

LVM stands for Logical Volume Manager and provides flexible logical storage management.


Q14. What are PV, VG and LV?

PV = Physical Volume
VG = Volume Group
LV = Logical Volume

Q15. What does df -h do?

It displays filesystem disk usage in a human-readable format.


Q16. What does lsblk do?

It displays block devices and their relationships, partitions, and mount points.


117. 🎯 Linux for DevOps β€” The Big Picture

If you're learning DevOps, think about Linux like this:

                    LINUX
                      |
       +--------------+--------------+
       |              |              |
     Files          Users         Networking
       |              |              |
    Permissions      sudo           IP
       |              |              |
     Storage         Groups          Ports
       |                             |
      LVM                            DNS
       |                             |
       +-------------+---------------+
                     |
                     v
                 Processes
                     |
                     v
                  Services
                     |
                     v
                   Logs
                     |
                     v
                Troubleshooting
                     |
                     v
                  DEVOPS

Linux isn't just another topic in DevOps.

It is the foundation on which many DevOps tools operate.


118. πŸš€ Linux β†’ Docker β†’ Jenkins β†’ Kubernetes

Once you understand Linux, your DevOps learning becomes much easier.

A typical learning path is:

Linux
  ↓
Git & GitHub
  ↓
Networking
  ↓
AWS
  ↓
Docker
  ↓
Jenkins
  ↓
Kubernetes
  ↓
Terraform
  ↓
Monitoring
  ↓
Advanced DevOps

For example, when learning Docker, you will encounter:

Linux processes
Namespaces
cgroups
Filesystems
Networking
Permissions
Volumes

When learning Kubernetes, you'll encounter:

Linux nodes
Processes
Networking
Storage
Containers
Services

When learning Jenkins:

Linux servers
SSH
Users
Permissions
Processes
Logs
Networking

So Linux knowledge keeps appearing everywhere.


119. 🧠 The Most Important Linux Concepts for DevOps

If you don't have time to learn every Linux command immediately, prioritize these topics:

⭐ Must Know

1. Files & directories
2. Permissions
3. Users & groups
4. SSH
5. Processes
6. Services
7. Networking
8. Logs
9. Disk management
10. Shell scripting

⭐ Advanced

11. AWK
12. SED
13. LVM
14. System troubleshooting
15. Performance monitoring
16. Networking troubleshooting
17. Bash scripting
18. Cron
19. Systemd
20. Security

120. πŸ† Final Linux DevOps Cheat Sheet

Keep this section bookmarked.

# Current directory
pwd

# List files
ls
ls -la

# Change directory
cd /path

# Create directory
mkdir project

# Create file
touch file.txt

# Read file
cat file.txt

# Copy
cp file.txt backup.txt

# Copy directory
cp -r project backup/

# Move / Rename
mv old.txt new.txt

# Delete
rm file.txt

# Delete directory
rm -rf project/

# Search text
grep "error" app.log

# Find files
find /var/log -name "*.log"

# First lines
head file.txt

# Last lines
tail file.txt

# Follow logs
tail -f app.log

# Sort
sort file.txt

# Text processing
awk '{print $1}' file.txt

# Replace text
sed 's/old/new/g' file.txt

# Create symbolic link
ln -s original.txt link.txt

# Create hard link
ln original.txt hardlink.txt

# Current user
whoami

# User information
id

# Create user
sudo useradd -m devops

# Password
sudo passwd devops

# Switch user
su - devops

# Create group
sudo groupadd devops

# Add user to group
sudo usermod -aG devops devops

# Permissions
chmod 755 script.sh

# Ownership
sudo chown user:group file.txt

# IP information
ip addr

# Routing
ip route

# Test connectivity
ping google.com

# Listening ports
ss -tuln

# HTTP request
curl https://example.com

# Download
wget https://example.com/file.zip

# Copy remote file
scp file.txt user@server:/tmp/

# Synchronize
rsync -av project/ user@server:/tmp/project/

# Block devices
lsblk

# Disk usage
df -h

# Directory size
du -sh /var/log

# Mount
sudo mount /dev/sdb /data

# Unmount
sudo umount /data

# LVM
sudo pvcreate /dev/sdb
sudo vgcreate devops-vg /dev/sdb
sudo lvcreate -L 10G -n data-lv devops-vg
sudo mkfs.ext4 /dev/devops-vg/data-lv
sudo mount /dev/devops-vg/data-lv /data

🎯 Conclusion

Linux is one of the most important foundations for a DevOps engineer.

You don't need to memorize hundreds of commands on day one.

Instead, understand what problem each command solves.

For example:

Need to find a file?
        ↓
      find

Need to search inside a file?
        ↓
      grep

Need to process columns?
        ↓
      awk

Need to replace text?
        ↓
      sed

Need to check disk?
        ↓
      df / du

Need to check disks?
        ↓
      lsblk

Need to check network?
        ↓
      ip / ping / ss

Need to transfer files?
        ↓
      scp / rsync

Need to manage permissions?
        ↓
      chmod / chown

Need flexible storage?
        ↓
      LVM

The goal is not to become a Linux command memorization machine.

The goal is to become comfortable enough with Linux that when a Jenkins pipeline fails, Docker container doesn't start, EC2 server runs out of disk, application port isn't reachable, or logs show an error, you know where to look and which commands to use.

Once you are comfortable with Linux fundamentals, technologies such as Docker, Jenkins, Kubernetes, AWS, Terraform and Ansible become much easier to understand.


πŸš€ What's Next?

If you're following this as a DevOps learning series, the next logical topics are:

Linux
  ↓
Git & GitHub
  ↓
AWS Fundamentals
  ↓
Docker
  ↓
Jenkins
  ↓
Kubernetes
  ↓
Terraform
  ↓
Ansible
  ↓
Prometheus + Grafana
  ↓
Advanced DevOps Projects

Linux is not just a prerequisite for DevOps β€” it is one of the core skills you will continuously use throughout your DevOps career.


Don't stop after reading this article.

Create an Ubuntu AWS EC2 server and practice:

βœ… SSH
βœ… Users
βœ… Groups
βœ… Permissions
βœ… Files/directories
βœ… Nginx
βœ… Logs
βœ… Networking
βœ… SCP/rsync
βœ… Disk management
βœ… LVM
βœ… Bash scripting

Then deploy a simple application on the server.

That practical experience will teach you far more than memorizing Linux commands.


πŸš€ Complete Learning & Career Resources | 2027–2028

A curated collection of learning resources for AI, Data Analytics, Python, Data Engineering, Cybersecurity, Cloud, Networking, Finance, Digital Marketing, Project Management, DevOps and Generative AI.

πŸ“š Learn Β β†’Β  πŸ§ͺ Practice Β β†’Β  πŸ› οΈ Build Β β†’Β  πŸ™ Share Β β†’Β  πŸš€ Grow


🌟 About This Repository

Welcome to the Complete Learning & Career Resources Repository! πŸš€

This repository is designed as a centralized learning hub for students, developers, QA engineers, DevOps engineers, cloud learners, cybersecurity enthusiasts, data professionals, project managers, business professionals and anyone interested in continuous learning.

The goal is simple:

Learn β†’ Practice β†’ Build β†’ Document β†’ Share β†’ Grow

Instead of searching for useful resources again and again, this repository brings them together in one place.


🎯 What You Will Find Here

  • πŸ€– Artificial Intelligence

  • 🧠 Generative AI

  • πŸ“Š Data Analytics

  • 🐍 Python

  • βš™οΈ Data Engineering

  • ☁️ Cloud Computing

  • 🌐 Computer Networking

  • πŸ” Cybersecurity

  • βš™οΈ DevOps

  • πŸ“‹ Project Management

  • πŸ’° Finance

  • πŸ“ˆ Digital Marketing

  • 🧩 Business Analysis

  • πŸš€ Career Development

  • πŸŽ“ Professional Learning

  • πŸ› οΈ Project Ideas

  • πŸ“š Learning Roadmaps


πŸ“Š Repository Overview

Category Resources
πŸ€– AI Courses 15
πŸ”΅ Google Courses 15
🟣 IBM Courses 10
πŸ”₯ Best Courses 2027–2028 21
🌟 Learning & Career Resources 14
πŸ“– Personal Resources 4+

πŸ“š Table of Contents


πŸ€– AI Courses

πŸš€ Explore AI fundamentals, Python, AI infrastructure, Generative AI, AI governance and specialized AI applications.

# Course Link
1 AI For Everyone Start Course β†—
2 AI Python for Beginners Start Course β†—
3 AI Infrastructure and Operations Fundamentals Start Course β†—
4 Generative AI for Human Resources (HR) Professionals Start Course β†—
5 AI Fundamentals Start Course β†—
6 AI for Healthcare Start Course β†—
7 AI Applications in Accounting and Finance Start Course β†—
8 AI Governance and Privacy Professional Certification (AIGP) Start Course β†—
9 Ethics and Governance in the Age of Generative AI Start Course β†—
10 Hands-on quantum error correction with Google Quantum AI Start Course β†—
11 AI-Powered Higher Education Start Course β†—
12 Modern Project Leadership: Agile, AI, and Beyond Start Course β†—
13 AI-Powered Business Analysis: Excel, KPIs & GenAI Start Course β†—
14 AI in Law: Research, Risk, and Legal Drafting Start Course β†—
15 Generative AI for Project Managers Start Course β†—

πŸ”΅ Google Courses

🌐 Explore Data Analytics, AI, Cybersecurity, Networking, Cloud, Digital Marketing and Project Management.

# Course Link
1 Foundations: Data, Data, Everywhere Start Course β†—
2 Ask Questions to Make Data-Driven Decisions Start Course β†—
3 Prepare Data for Exploration Start Course β†—
4 Agile Project Management Start Course β†—
5 Project Initiation: Starting a Successful Project Start Course β†—
6 AI Fundamentals Start Course β†—
7 Foundations of Digital Marketing and E-commerce Start Course β†—
8 Play It Safe: Manage Security Risks Start Course β†—
9 The Bits and Bytes of Computer Networking Start Course β†—
10 Analyze Data to Answer Questions Start Course β†—
11 Automate Cybersecurity Tasks with Python Start Course β†—
12 Architecting with Google Compute Engine Start Course β†—
13 AI for Writing and Communicating Start Course β†—
14 From Likes to Leads: Interact with Customers Online Start Course β†—
15 AI for Data Analysis Start Course β†—

🟣 IBM Courses

πŸ’™ Explore SQL, Python, Data Analytics, Deep Learning, RAG and Generative AI resources.

# Course Link
1 Databases and SQL for Data Science with Python Start Course β†—
2 RAG and Agentic AI Capstone Project Start Course β†—
3 Excel Basics for Data Analysis Start Course β†—
4 Introduction to Data Analytics Start Course β†—
5 Data Visualization and Dashboards with Excel and Cognos Start Course β†—
6 IBM AI Foundations for Business Start Course β†—
7 AI Capstone Project with Deep Learning Start Course β†—
8 Python Project for Data Engineering Start Course β†—
9 Building Generative AI-Powered Applications with Python Start Course β†—
10 Vector Databases for RAG: An Introduction Start Course β†—

πŸ”₯ Best Courses 2027–2028

🎯 A broader collection covering AI, Data, Python, Finance, Cybersecurity, Marketing, Networking, Management and Data Engineering.

# Course Link
1 AI For Everyone Start Course β†—
2 Foundations: Data, Data, Everywhere Start Course β†—
3 Ask Questions to Make Data-Driven Decisions Start Course β†—
4 Prepare Data for Exploration Start Course β†—
5 Financial Markets Start Course β†—
6 Agile Project Management Start Course β†—
7 Play It Safe: Manage Security Risks Start Course β†—
8 Project Initiation: Starting a Successful Project Start Course β†—
9 AI Fundamentals Start Course β†—
10 Analyze Data to Answer Questions Start Course β†—
11 Foundations of Digital Marketing and E-commerce Start Course β†—
12 The Bits and Bytes of Computer Networking Start Course β†—
13 Sequence Models Start Course β†—
14 Federal Taxation I: Individuals, Employees, and Sole Proprietors Start Course β†—
15 Designing the Organization Start Course β†—
16 Game Theory Start Course β†—
17 Using Python to Access Web Data Start Course β†—
18 Viral Marketing and How to Craft Contagious Content Start Course β†—
19 Python Project for Data Engineering Start Course β†—
20 Value Chain Management Start Course β†—
21 Applying Data Analytics in Finance Start Course β†—

🌟 Learning & Career Resources

πŸ’‘ Additional resources for learning, career development, language learning, hosting, education and professional growth.

Category Program Tracking Link
πŸ“± Apps AppSumo https://appsumo.8odi.net/c/5203965/416948/7443
🌐 Website Hosting Automattic, Inc. (WordPress.com, Pressable, WooCommerce, Jetpack) https://automattic.pxf.io/c/5203965/1900456/22744
πŸ‡¬πŸ‡§ College British Council - EOL English Online https://englishonline.sjv.io/c/5203965/1152772/14579
πŸ“š Educational Carson Dellosa Education https://carsondellosaeducation.sjv.io/c/5203965/2241626/29119
πŸŽ“ College Coursera B2C Affiliate Program https://imp.i384100.net/c/5203965/1164545/14726
πŸ“Š Learning DataCamp https://datacamp.pxf.io/c/5203965/1012793/13294
🎨 Collectibles & Hobbies Domestika https://domestika.sjv.io/c/5203965/1492994/17608
πŸŽ“ College edX https://edx.sjv.io/c/5203965/1505390/17728
πŸ’Ό Career Medical Spanish https://curiositymediainc.sjv.io/c/5203965/2899794/33984
πŸ§ͺ Educational MEL Science https://imp.i328067.net/c/5203965/574569/9515
πŸ—£οΈ Apps Preply Learners https://preply.sjv.io/c/5203965/1987575/24422
🌍 Learning Rosetta Stone https://aff.rosettastone.com/c/5203965/1637427/18979
πŸ›οΈ Website Hosting Shopify https://shopify.pxf.io/c/5203965/1061744/13624
🎯 Learning Udemy https://trk.udemy.com/c/5203965/3193860/39854

πŸ—ΊοΈ Recommended Learning Roadmaps

Choose one roadmap according to your career goal. You don't need to learn everything at once.


πŸ€– AI Roadmap

AI Fundamentals
      ↓
Python Basics
      ↓
Mathematics & Statistics
      ↓
Data Fundamentals
      ↓
Machine Learning
      ↓
Deep Learning
      ↓
Generative AI
      ↓
Prompt Engineering
      ↓
RAG
      ↓
Vector Databases
      ↓
Agentic AI
      ↓
AI Applications
      ↓
Real-World Projects
      ↓
GitHub Portfolio

πŸ”– Tags

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