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Linux Security, AI, Docker And Cloud With Hands-On Labs (Udemy.com)

Learn Linux security, hardening, AI, Docker, cloud, and server protection with practical hands-on labs.

Created by: Shikhar Verma

Last updated May 2026

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What you will learn

  • Understand Linux fundamentals, filesystem structure, and essential Linux commands
  • Launch and manage Linux servers on AWS EC2 cloud environments
  • Configure remote VM access using MobaXterm and SSH
  • Manage Linux file permissions, ownership, and access control securely
  • Install and manage software packages using APT package manager
  • Configure environment variables and Python virtual environments for AI workloads
  • Install and use AI libraries such as NumPy, PyTorch, and Transformers on Linux
  • Run GPT-2 models and perform AI text generation on Linux systems
  • Understand LLMs, Generative AI, OpenAI, and Hugging Face concepts
  • Build AI chatbot applications using Python and OpenAI APIs
  • Deploy AI applications using Docker containers and Dockerfiles
  • Understand Linux security fundamentals and server hardening best practices
  • Configure PAM, password policies, and account security in Linux

How it compares

Against the other 124 rated Udemy courses in Linux on CourseDuck:

  • Rating4.2 out of 5higher than 14% of them
  • Reviews200#94 of 125 by number of reviews
  • Length8.8 hourslonger than 56% of them
  • Last updatedMay 2026more recently than 74% of them

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Course Description

This course provides a practical approach to Linux security and hardening while also introducing modern AI and cloud technologies used in real-world environments. You will learn Linux fundamentals, file permissions, package management, environment variables, firewall security, PAM, SELinux, and server protection techniques through hands-on labs and practical demonstrations.

The course also covers AI fundamentals, Python setup for AI workloads, GPT-2 text generation, OpenAI and Hugging Face integration, Docker-based AI application deployment, and cloud-based Linux environments using AWS EC2.

By the end of this course, you will be able to secure Linux systems, work with AI tools on Linux servers, deploy applications using Docker, and build a strong foundation for Linux, DevOps, cloud, AI, and cybersecurity-related roles.

Course Content

Getting Started with the Course

  • Course Introduction

  • Why Linux is Important for AI

  • Course Architecture

Getting Started with AWS EC2 & VM Access

  • Introduction to Cloud and AWS

  • Launch EC2 Instance (Ubuntu)

  • Set Up MobaXterm for VM Access

  • Connect to VM Using MobaXterm

Linux Fundamentals: Files, Commands & Permissions

  • Linux Filesystem Explained

  • Essential Linux Commands

  • File Management in Linux

  • Editing Files Using Vi Editor

  • File Permissions in Linux

  • Modify Permissions with chmod

  • Modify Ownership with chown

Package Management & Environment Variables

  • Package Management with APT

  • Hands-on Lab: Managing Packages

  • Environment Variables Explained

  • Hands-on Lab: Environment Variables

Python Setup & Dependency Management for AI

  • Python Environment Essentials for AI

  • Python Virtual Environment Setup (venv)

  • Python Dependency Management Using pip

Real-Time Projects

  • GitHub Info Fetcher Project

  • GitHub API-Based Python Project

Running AI Models on Linux (GPT-2 Project)

  • Install AI Libraries: NumPy, PyTorch & Transformers

  • First AI Text Generation Script

  • Load and Run GPT-2 Model

  • Transformers & Hugging Face Overview

  • AI Text Generation Flow

Real-Time Project

  • AI Text Completion Using GPT-2 on AWS

Introduction to Generative AI

  • What is an LLM?

  • How LLMs Work

  • Examples of LLMs

  • OpenAI vs Hugging Face

  • APIs and AI Integrations

  • OpenAI Introduction & Use Cases

  • Hugging Face Overview & Use Cases

Build an AI Chatbot Using Python and OpenAI

  • AI Chatbot Project Overview

  • Python Environment Setup

  • Install OpenAI Libraries

  • Configure OpenAI API Keys

  • Writing Python Code for AI Chatbot

  • Run and Test the AI Chatbot

Deploy the AI Chatbot Using Docker

  • What is Docker?

  • Docker Architecture & Components

  • Dockerfile Creation

  • Docker Setup and Installation

  • Build Docker Images

  • Run AI Chatbot Using Docker Containers

Linux Security Fundamentals

  • Linux Security Overview

  • Common Linux Security Threats

  • Server Hardening Best Practices

Linux Security & Hardening

  • Physical Security of Linux Systems

  • BIOS Firmware Security

  • Bootloader Security

  • Single User Mode Security

  • PAM (Pluggable Authentication Modules)

  • Account & Password Security

  • Password Aging Policies

  • File System Security

  • ACLs and Special Permissions

  • Network Security

  • SSH Hardening

  • Linux Firewall & firewalld

  • Port Forwarding & Rich Rules

  • SELinux Concepts & Troubleshooting

  • Audit Logs & Security Monitoring

  • Last Lecture

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Instructor Details

Shikhar Verma

Shikhar Verma – Entrepreneur, Corporate Trainer, and IT Consultant


●Founder & CEO of Techstart – Leads an IT company specializing in designing, developing certified courses, content creation, and managing online/offline IT projects for renowned companies.

●15+ Years of Industry Experience – Worked extensively in the IT sector before establishing his own business, bringing deep expertise in technology and corporate training.

●Passionate About Technology & Education – Dedicated to utilizing his technical skills to drive both organizational success and personal career growth.

●Renowned Udemy Instructor – Simplifies complex technical concepts and delivers them in an engaging and approachable manner.

●Educating Since 2016 – Taught over 100,000 students worldwide across multiple learning platforms.

●Educational Background – Holds a BTech in Electrical and Electronics Engineering.


●Core Expertise:

☆Generative AI, Python, DevOps, Docker, Git, Kubernetes, Linux, Ansible, Shell Scripting

☁️ AWS Cloud (Amazon Web Services), Linux Clustering, GCP

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Reviews

4.2

200 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Dominik Buchhardt on 3/19/2025

this currently looks more like very basic things, which is not bad, but not what i expected. The selinux was helpful, but i wished he had explained the selinux policies somewhat.

By Patrik Potoczky on 12/30/2024

Overall its alright course, but the pronunciation of some words made it hilarious, sometimes super confusing.

By Thembelenkosini Theophilus Ramncwana on 9/6/2024

These lesson has allowed me to have a better and clear understanding of SELinux as I am preparing for the LPIC3 Linux security Exam. Thank you Sir

By Kim Nguyen on 6/9/2021

Information is very good for basic level, brief and concise. Lab is basic and good enough to follow.

By Olivier CHARLOTON on 5/23/2020

All sections are not present on slides. I've chosen this course to learn SELinux but i need to understand far more than what it's explained to be able to use it in real world. From my point of view, this lesson is a (quite good) introduction to Linux Hardening that must be completed and deepened.

By Sumita Bhattacharya on 2/13/2020

This course is very interesting and easy to follow. Highly recommended.

By Chris Papas on 3/6/2019

This course was Outstanding, Mr Verma is I think The best Instructor on Udemy. Take this course and you will see for yourself. I have taken several of his courses, and each course is well thought out for a student to learn, his courses are not simple Basic courses, like some i have taken from other instructors. His mission for each course is for you not only learn his material, but learn it in detail. Please keep the courses coming!

By Abdullah Aydarous Alaydarous on 12/23/2018

The course & instructor are good, The only thing I it doesn't say its more about red hat system so at least you know which Linux sys you going for.

By Syed Ali on 10/18/2018

An extremely well-designed & Amazing course. with a very well rounded curriculum. Shikar is an excellent instructor. I have had a great time going through this course. I am so glad that I decided to take this course.Thank you..

By Damien Oliver on 10/15/2018

So far (chapter one), the course is well done en clear. It would be better if we could have the transcript feature for those of use who are not fluent in english.

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Overall Score : 84 / 100