AI Engineer Agentic Track: The Complete Agent & MCP Course

Monday, June 8, 2026

AI Engineer Agentic Track: The Complete Agent & MCP Course

AI Engineer Agentic Track: The Complete Agent & MCP Course
Master AI Agents in 30 days: build 8 real-world projects with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP.

Preview this Course

The year 2026 represents a watershed moment for AI Agents, making it essential to master Agentic AI for future career and commercial opportunities. This intensive 6-week program focuses on hands-on experience, guiding participants through 8 real-world projects using frameworks like CrewAI, LangGraph, and AutoGen to build and deploy autonomous systems.

Posted by free courses at June 08, 2026

Microsoft Excel: Excel from Beginner to Advanced 2026

Wednesday, June 3, 2026

Complete Excel Training: Transform Your Skills with Hands-On Projects and Real-World Applications! COUPON IN DESCRIPTION

microsoft-excel-beginner-to-advanced-in-only-6-hours

Preview this Course

Description
For $ 9.99, use this code: EXCEL3
Excel in 2026 - Learn Excel the Fast, Modern & Practical Way.

From beginner to advanced with real projects.

Microsoft Excel is used by over 750 million people worldwide — yet most users never unlock even 10% of its real power. Whether you're a student, professional, analyst, or business owner, learning Excel properly is one of the most valuable skills you can gain.

This course takes you from complete beginner to advanced — step-by-step, practical, and with zero overwhelm.

Master Microsoft Excel: Beginner to Expert (All-in-One Course)

This is not just another Excel course — it’s a complete learning system.
Structured and refined from multiple Excel training programs, it covers everything you need to work confidently with data, build reports, and solve real business problems.

Whether you're using Excel 2007, 2010, 2013, 2016, 2019, 2021 or Microsoft 365 (2025+) — this course is fully compatible.

What You’ll Learn

From foundations to advanced tools:

Build clean, well-structured spreadsheets

Organize, manage & analyze large datasets

Master essential Excel functions (SUM, IF, VLOOKUP, INDEX/MATCH)

Use modern Excel tools (XLOOKUP, TEXTSPLIT, and more)

Create dynamic reports with PivotTables & PivotCharts

Validate, audit & troubleshoot formulas

Coming Soon (Free Updates)

(These sections will be added soon as part of the upcoming course updates.)

Automation with Macros & VBA

Productivity boosting with AI in Excel (Copilot & smart automation)

Why This Course Works

Learning Excel shouldn’t be confusing — and this course makes every concept simple, clear, and practical.

Real-world examples, not theory

Step-by-step structure with no gaps

Complex tools explained in a clean, simple way

Practice files to build real skill

Suitable for beginners through advanced users

You don’t need to know everything in Excel — just the right things.
This course gives you the exact skills used by top Excel professionals.

What’s Included

HD video lessons

Downloadable workbooks & practice files

Quizzes for reinforcement

Full Q&A support

Lifetime access & free future updates

Certificate of completion (Add to LinkedIn/CV)

You’ll also get the Excel Main Workbook System — a structured file used throughout the course to learn and practice efficiently.

Student Feedback

“This course made me an Excel pro — crystal clear explanations.”
“Perfect structure. I finally understand Excel.”
“From zero to advanced. I even built my first macro.”
“Best Excel instructor on Udemy — simple, practical, powerful.”

Your Excel Journey Starts Here

Whether you want to:

Get a promotion

Land a better job

Improve productivity

Start a data career

Upgrade your skills

This course gives you a complete path to becoming fast, confident & skilled in Excel.

Enroll Today — Transform Your Future with Excel

You're one course away from becoming better than 90% of Excel users.
Join now and start learning Excel the right way — practical, clear, and step-by-step.

See you inside the course!

Who this course is for:
  • Anyone interested in becoming a proficient user of Excel.
  • Anyone who would like to integrate the power of Excel into their personal or professional life.
  • If your looking to take your Excel skills from beginner to advanced level and beyond, then this course is for you.

Posted by free courses at June 03, 2026

The Data Science Course: Complete Data Science Bootcamp 2026

Tuesday, June 2, 2026

Free Coupon Discount - Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning | Created by 365 Careers, 365 Careers Team

the-data-science-course-complete-data-science-bootcamp

Students also bought

  • The Complete Digital Marketing Course - 12 Courses in 1
  • Python for Data Science and Machine Learning Bootcamp
  • The Complete SQL Bootcamp 2020: Go from Zero to Hero
  • The Ultimate MySQL Bootcamp: Go from SQL Beginner to Expert
  • Artificial Intelligence A-Z™: Learn How To Build An AI


Preview this Udemy Course GET COUPON CODE

Description
The Problem

Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.  

However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.

And how can you do that?

Universities have been slow at creating specialized data science programs. (not to mention that the ones that exist are very expensive and time consuming)

Most online courses focus on a specific topic and it is difficult to understand how the skill they teach fit in the complete picture

The Solution

Data science is a multidisciplinary field. It encompasses a wide range of topics.

Understanding of the data science field and the type of analysis carried out

Mathematics

Statistics

Python

Applying advanced statistical techniques in Python

Data Visualization

Machine Learning

Deep Learning

Each of these topics builds on the previous ones. And you risk getting lost along the way if you don’t acquire these skills in the right order. For example, one would struggle in the application of Machine Learning techniques before understanding the underlying Mathematics. Or, it can be overwhelming to study regression analysis in Python before knowing what a regression is.

So, in an effort to create the most effective, time-efficient, and structured data science training available online, we created The Data Science Course 2020.

We believe this is the first training program that solves the biggest challenge to entering the data science field – having all the necessary resources in one place.

Moreover, our focus is to teach topics that flow smoothly and complement each other. The course teaches you everything you need to know to become a data scientist at a fraction of the cost of traditional programs (not to mention the amount of time you will save).

The Skills

   1. Intro to Data and Data Science

Big data, business intelligence, business analytics, machine learning and artificial intelligence. We know these buzzwords belong to the field of data science but what do they all mean?  

Why learn it? As a candidate data scientist, you must understand the ins and outs of each of these areas and recognise the appropriate approach to solving a problem. This ‘Intro to data and data science’ will give you a comprehensive look at all these buzzwords and where they fit in the realm of data science.

   2. Mathematics

Learning the tools is the first step to doing data science. You must first see the big picture to then examine the parts in detail.

We take a detailed look specifically at calculus and linear algebra as they are the subfields data science relies on.

Why learn it?

Calculus and linear algebra are essential for programming in data science. If you want to understand advanced machine learning algorithms, then you need these skills in your arsenal.

   3. Statistics

You need to think like a scientist before you can become a scientist. Statistics trains your mind to frame problems as hypotheses and gives you techniques to test these hypotheses, just like a scientist.

Why learn it?

This course doesn’t just give you the tools you need but teaches you how to use them. Statistics trains you to think like a scientist.

   4. Python

Python is a relatively new programming language and, unlike R, it is a general-purpose programming language. You can do anything with it! Web applications, computer games and data science are among many of its capabilities. That’s why, in a short space of time, it has managed to disrupt many disciplines. Extremely powerful libraries have been developed to enable data manipulation, transformation, and visualisation. Where Python really shines however, is when it deals with machine and deep learning.

Why learn it?

When it comes to developing, implementing, and deploying machine learning models through powerful frameworks such as scikit-learn, TensorFlow, etc, Python is a must have programming language.

   5. Tableau

Data scientists don’t just need to deal with data and solve data driven problems. They also need to convince company executives of the right decisions to make. These executives may not be well versed in data science, so the data scientist must but be able to present and visualise the data’s story in a way they will understand. That’s where Tableau comes in – and we will help you become an expert story teller using the leading visualisation software in business intelligence and data science.

Why learn it?

A data scientist relies on business intelligence tools like Tableau to communicate complex results to non-technical decision makers.

   6. Advanced Statistics

Regressions, clustering, and factor analysis are all disciplines that were invented before machine learning. However, now these statistical methods are all performed through machine learning to provide predictions with unparalleled accuracy. This section will look at these techniques in detail.

Why learn it?

Data science is all about predictive modelling and you can become an expert in these methods through this ‘advance statistics’ section.

   7. Machine Learning

The final part of the program and what every section has been leading up to is deep learning. Being able to employ machine and deep learning in their work is what often separates a data scientist from a data analyst. This section covers all common machine learning techniques and deep learning methods with TensorFlow.

Why learn it?

Machine learning is everywhere. Companies like Facebook, Google, and Amazon have been using machines that can learn on their own for years. Now is the time for you to control the machines.

***What you get***

A $1250 data science training program

Active Q&A support

All the knowledge to get hired as a data scientist

A community of data science learners

A certificate of completion

Access to future updates

Solve real-life business cases that will get you the job

You will become a data scientist from scratch

We are happy to offer an unconditional 30-day money back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.

Why wait? Every day is a missed opportunity.

Click the “Buy Now” button and become a part of our data scientist program today.



Who this course is for:
You should take this course if you want to become a Data Scientist or if you want to learn about the field
This course is for you if you want a great career
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills

100% Off Udemy Coupon . Free Udemy Courses . Online Classes

Posted by free courses at June 02, 2026

Data Science and Machine Learning Fundamentals [2026]

Sunday, May 31, 2026

Learn to master Data Science and Machine Learning Fundamentals with Python and Pandas

Data Science and Machine Learning Fundamentals [2025]

Preview this Course

Description
This course is an exciting hands-on view of the fundamentals of Data Science and Machine Learning

Data Science and Machine Learning are developing on a massive scale. Everywhere you look in society, the world wide web, or in technology, you will find Data Science and Machine Learning algorithms working behind the scenes to analyze and optimize all aspects of our lives, businesses, and our society. Data Science and Machine Learning with Artificial Intelligence are some of the hottest and fastest-developing areas right now.

This course will teach you the fundamentals of Data Science and Machine Learning. This course has exclusive content that will teach you many new things regardless of if you are a beginner or an experienced Data Scientist, and aspires to be one of the best Udemy courses in terms of education and value. 

You will learn about

Regression and Prediction with Machine Learning models using supervised learning. This course has the most complete and fundamental master-level regression analysis content packages on Udemy, with hands-on, useful practical theory, and automatic Machine Learning algorithms for model building, feature selection, and artificial intelligence. You will learn about models ranging from linear regression models to advanced multivariate polynomial regression models.

Classification with Machine Learning models using supervised learning. You will learn about the classification process, classification theory, and visualizations as well as some useful classifier models, including the very powerful Random Forest Classifier Ensembles and Voting Classifier Ensembles.

Cluster Analysis with Machine Learning models using unsupervised learning. In this part of the course, you will learn about unsupervised learning, cluster theory, artificial intelligence, explorative data analysis, and seven useful Machine Learning clustering algorithms ranging from hierarchical cluster models to density-based cluster models.

The fundamentals of Data Science and Machine Learning. This course gives a very solid foundation and knowledge base for Data Science and Machine Learning jobs or studies.

Advanced A.I. prediction models and automatic model creation. This video course includes videos where the use of very powerful algorithms for automatic model creation is taught.

Advanced Text Mining and Automation. You will learn to mine text data and the fundamentals of Text and Emotion Mining such as Tokenization, text data preparation, spell checking, lemmatization, stemming, and classification of text data.

Mastering Python for data handling.

Mastering Pandas for data handling.

This course includes

a comprehensive and easy-to-follow teaching package for Mastering Python and Pandas for data handling, which makes anyone able to learn the course contents regardless of beforehand knowledge of programming, tabulation software, Python, Pandas, Data Science, or Machine Learning.

Learn to use Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources

an optional easy-to-follow guide for downloading, installing, and setting up the Anaconda Distribution, which makes anyone able create a local installation of a Python Data Science and Machine Learning environment.

content that will teach you many new things, regardless of if you are a beginner or an experienced Data Scientist.

a large collection of unique content, and will teach you many new things that only can be learned from this course on Udemy.

A complete masterclass package for Data Science and Machine Learning.

A course structure built on a proven and professional framework for learning.

A compact course structure and no killing time.

Is this course for you?

This course is for you, regardless if you are a beginner or an experienced Data Scientist.

This course is for you, regardless if you have no education or are experienced with a Ph.D.

Course requirements

The four ways of counting (+-*/)

Basic everyday experience with either Windows, Linux, Mac OS, or similar operating systems

After completing this course, you will have

Knowledge about Data Science and Machine Learning theory, algorithms, methods, best practices, and tasks.

Deep hands-on knowledge of Data Science and Machine Learning, and know how to do common Data Science and Machine Learning tasks.

The ability to handle common Data Science and Machine Learning tasks with confidence.

Knowledge to Master Python for Data Handling.

Knowledge to Master Pandas for Data Handling.

Knowledge and practical hands-on knowledge of Scikit-learn, Stats models, Matplotlib, Seaborn, and many other Python libraries.

Detailed and deep Master knowledge of Regression Prediction, Classification, and Cluster Analysis.

Advanced knowledge of A.I. prediction models and automatic model creation.

Advanced Knowledge of Text Mining, Text Mining Tasks, and Emotion Mining.

Who this course is for:
  • This course is for you, regardless if you are a beginner or experienced Data Scientist, regardless if you have a Ph.D., or no education or experience at all.

Posted by free courses at May 31, 2026

Claude - Master Claude Cowork, Claude Code, Skills & Plugins

Friday, May 29, 2026

Claude - Master Claude Cowork, Claude Code, Skills & Plugins

Claude - Master Claude Cowork, Claude Code, Skills & Plugins
Use Claude Cowork and Claude Code, Access 70+ Claude Resources, 200+ Prompts, 20+ Claude Skills, 10+ Claude Plugins

Preview this Course

Description
The Claude ecosystem is evolving fast — and most people are only using a fraction of what it can do.



If you're a business owner — imagine Claude organising your files, controlling your browser, and completing tasks on your computer while you focus on what matters.

If you're a professional or developer — picture building real web applications and deploying them live, even if you've never written a line of code.

If you're a freelancer or entrepreneur — Claude Skills and Plugins let you offer AI-powered services most people don't even know exist yet.



This is the most complete Claude course available. In one course, you'll master Claude Cowork, Claude Code, Claude Skills, and Claude Plugins — the four pillars of the Claude ecosystem — with step-by-step guidance from absolute beginner to advanced builder.



Claude isn't just a chatbot anymore. With Claude Cowork, you let Claude work directly on your computer — managing files, controlling your browser, and running tasks on autopilot. With Claude Code, you build and deploy real applications with AI. And with Skills and Plugins, you make Claude work exactly the way you do — in ways most people don't even know are possible.



By the end of this course, you'll be automating daily tasks, building full web applications, creating custom AI workflows, and using the entire Claude ecosystem with real confidence — whether you're starting from scratch or ready to go much deeper.



Additionally, you'll receive instant access to 200+ ready-to-use Claude prompts, 20 plug-and-play Claude Skills, and a 50-page e-book showing how the entire Claude ecosystem works together — ready to use from day one.



What You'll Learn in This Course:



Section 1: Course Introduction

Understand the difference between Claude Cowork, Claude Code, Skills, and Plugins — and which tool to reach for in every situation.

Watch a dynamic showcase of Claude Cowork and Claude Code use cases that immediately demonstrates the power of both apps.

Learn how the course is structured and how to jump freely between sections based on what you need most.



Section 2: Claude Cowork Basics

Set up Claude Cowork, understand pricing, and complete your very first real task on your computer.

Use the browser extension to let Claude operate inside your web browser and perform actions on websites.

Teach Claude your regular tasks and schedule them to run automatically on autopilot.

Connect Claude to 100+ apps using Connectors — including custom MCP connectors for advanced integrations.

Explore 20+ real-world Cowork use cases, from organising a messy desktop to creating presentations and community posts.



Section 3: Claude Skills Basics

Understand what Skills are and how they fundamentally change the way Claude works for you.

Use pre-built Skills inside Claude and download a ready-made Skills pack to start immediately.

Learn the core structure of a Skill and discover multiple ways to create one inside Claude.

Build your own Skill from scratch using the Skill Creator and a clear step-by-step formula.

Edit and refine your Skills using both the Claude chat interface and direct folder/file editing.



Section 4: Claude Skills Advanced

Write effective Skill instructions — understand exactly what separates a great Skill from a poor one.

Test your Skills properly and learn how to diagnose and fix issues when something doesn't work.

Master Skill folder structure and organisation for building scalable, maintainable Skills.

Build Skills using Claude Code itself, including Skills that leverage MCP tools for advanced outputs.

Create three complete Skills together and explore marketplaces where you can buy and sell Skills.



Section 5: Claude Plugins

Understand what Plugins are, how they differ from Skills, and when to use each one.

Use Plugins inside Claude, explore their structure, and run commands to trigger specific workflows.

Customise existing Plugins and upload your own via GitHub or URL.

Build a Plugin from scratch using Claude — step by step, from idea to working Plugin.

Get a full walkthrough of Anthropic's 11 built-in Plugins so you always know what's available and when to reach for it.



Section 6: Claude Code Basics

Install and set up Claude Code, Git, and GitHub from absolute scratch — no prior coding experience required.

Take a full tour of the Claude Code interface, understand the CLAUDE .md file, and learn how context management works.

Master permission modes, Plan Mode, and the .claude directory structure.

Connect and use MCP tools inside Claude Code to extend what it can do.

Set up hooks, remote control, and integrate Claude Code with n8n for automation workflows.



Section 7: Claude Code Advanced

Work with Sub-agents — what they are, how to create them, and how to run them in parallel for faster results.

Build Agent Teams and use Skills as sub-agents inside complex, multi-step projects.

Use Git Worktrees and deploy APIs live on the web using Modal.

Complete three full guided projects — building and deploying real applications from idea to live URL.



Section 8: How to Use Claude (Optional)

Get a full tour of the Claude interface: Projects, conversations, memory, sidebar, and settings — what's where and why it matters.

Understand pricing, plans, and models (Sonnet, Opus, Haiku) and learn how to pick the right one for every task.

Set up System Prompts and Custom Instructions so Claude always knows your context, tone, and preferences.

Master Projects, Memory, Artifacts, and advanced features including Voice, Vision, and File Analysis.

Learn practical Prompt Engineering patterns that get real results — plus 200+ downloadable prompts ready to use immediately.



Now, why should we teach you this topic?



Damian Danelczyk holds a degree in AI & Software Engineering and brings nearly 15 years of programming experience to this course. He runs his own AI Automation Agency and works with the Claude ecosystem every day in real client projects — which means everything he teaches is grounded in hands-on, practical experience. He's the builder in the room, and in this course he'll show you exactly how it's done.



Krystian Wojtarowicz is an AI educator and course creator with 45+ courses and tens of thousands of students worldwide. He specialises in taking complex AI and automation tools and turning them into clear, step-by-step learning experiences that anyone can follow — regardless of technical background. His mission is to make the full power of Claude accessible to everyone.



You have NOTHING TO LOSE and so much to gain!



This is the most complete Claude course available — covering Cowork, Code, Skills, and Plugins in one place, step by step, from complete beginner to confident builder.



ADD TO CART now and let's start this journey together!

Who this course is for:
  • Beginners with no technical background who want to start using AI tools effectively in their daily work
  • Professionals and entrepreneurs who want to save time by automating repetitive tasks with Claude
  • Freelancers and agency owners looking to deliver more value to clients using Claude Cowork and custom Skills
  • Anyone curious about AI who wants to go beyond basic chatting and unlock Claude's full potential

Posted by free courses at May 29, 2026

Complete Linux Training Course to Get Your Dream IT Job 2026

Friday, May 22, 2026

Complete Linux Training Course to Get Your Dream IT Job 2020

Complete Linux Training Course to Get Your Dream IT Job 2026, The best Linux Administration course that prepares you for corporate world and for RHCSA, RHCE, and LFCS certifications

  • Bestseller
  • Created by Imran Afzal
  • English [Auto], French [Auto]

Preview this Udemy Course GET COUPON CODE

Description

Linux is the number ONE operating system for the Corporate world.
If you want to start your career in Linux and have little or no knowledge of Linux then I can help.  In this course you will  learn Linux installation, configuration, administration, troubleshooting, command line, OS tools and much more...  I have also included  Resume and Interview workshop that will definitely help you get your  dream IT job.
In addition to the lectures there will be quizzes, homework and hand-out material just like a live classroom training
I have been teaching this exact course in a classroom environment in New York City.  Please note 80% of my students who took this course got the job in Linux within months.  Imagine those who take my course only to level  up their career, how productive this training can be for them
This course can help significantly for passing your RHCSA, RHCE, LFCS and CompTIA Linux+ certification exams

Following is the list of topics I will cover in this course:
Module 1 – Understanding Linux Concepts
What is Linux?   
Everyday use of Linux   
Unix vs. Linux   
Quiz, Homework and Handouts 
    
Module 2 – Download, Install and Configure   
What is Oracle Virtual Box?   
Downloading and Installing Oracle Virtual Box
Creating virtual machine   
Linux Distributions   
Different way to install Linux   
Downloading and Installing Linux (CentOS)   
Redhat Linux installation (Optional)   
Linux Desktop (GUI)   
Virtual Machine Management   
Linux vs. Windows   
Who Uses Linux?   
Quiz, Homework and Handouts  
  Module 3 – System Access and File System   
Accessing Linux system
Download and install Putty   
Connect Linux VM via Putty   
Important Things to Remember in Linux   
Introduction to File System
File system structure description
File system navigation commands
File System Paths  
Directory listing overview  
Creating Files and Directories  
Finding Files and Directories (find, locate)   
Changing Password
Wildcard (*, $, ^)
Combining and Splitting Files (cat and cut)  
Soft and Hard Links (ln)  
Quiz, Homework and Handouts   
 
Module 4 – Linux Fundamentals  
Commands Syntax  
File Permissions (chmod)  
File Ownership (chown, chgrp)
Getting Help (man, whatis etc.)  
TAB completion and up arrow keys  
Adding text to file  
Pipes ( | )  
File Maintenance Commands  
File Display Commands  
Filters / Text Processing Commands (cut, sort, grep, awk, uniq, wc)  
Compare Files (diff, cmp)  
Compress and Un-compress files/directories (tar, gzip, gunzip)
Combining and Splitting Files   
Linux vs. Windows Commands  
Quiz, Homework and Handouts   

Module 5 – System Administration  
Linux File Editors (vi text editor)
sed Command   
User account management  
Switch users and Sudo access  
Monitor users  
Talking to users (users, wall, write)
Linux Directory Service - Account Authentication
Difference between Active Directory, LDAP, IDM, WinBIND, OpenLDAP etc.
System utility commands (date, uptime, hostname, which, cal, bc etc.)  
Processes and schedules (systemctl, ps, top, kill, crontab and at)  
Process Management
System Monitoring Commands (top, df, dmesg, iostat 1, netstat, free etc.)  
OS Maintenance Commands (shutdown, reboot, halt, init etc.)  
Changing System Hostname (hostnamectl)  
Finding System Information (uname, cat /etc/redhat-release, cat /etc/*rel*, dmidecode)  
System Architecture (arch)  
Terminal control keys  
Terminal Commands (clear, exit, script)  
Recover root Password (single user mode)
SOS Report   
Quiz, Homework and Handouts 
   
Module 6 – Shell Scripting 
Linux Kernel   
What is a Shell?
Types of Shells 
Shell scripting  
Basic Shell scripts  
If-then scripts  
For loop scripts  
do-while scripts   
Case statement scripts  
Aliases
Shell History 
Command history   
 
Module 7 – Networking, Servers and System Updates  
Enabling internet in Linux VM  
Network Components  
Network files and commands (ping, ifconfig, netstat, tcpdump, networking config files)  
NIC Information (ethtool)  
NIC or Port Bonding
Downloading Files or Apps (wget)
curl and ping Commands
File Transfer Commands
System updates and repositories (rpm and yum)
System Upgrade/Patch Management  
Create Local Repository from CD/DVD
Advance Package Management  
SSH and Telnet  
DNS  
Hostname and IP Lookup (nslookup and dig)  
NTP  
chronyd (Newer version of NTP)
Sendmail  
Apache Web Server (http)  
Central Logger (rsyslogd)
Securing Linux Machine (OS Hardening)
OpenLDAP Installation  
Quiz, Homework and Handouts 
 
Module 8 – Disk Management and Run Levels
System run levels
Linux Boot Process
Message of the Day
Disk partition (df, fdisk, etc.)
Storage
Logical Volume Management (LVM)
LVM Configuration during Installation
Add Disk and Create Standard Partition
Add Disk and Create LVM Partition
LVM Configuration during Installation
Add Virtual Disk and Create New LVM Partition (pvcreate, vgcreate, lvcreate,)
Extend Disk using LVM
Adding Swap Space
RAID
Quiz, Homework and Handouts  
    Module 9 – All About Resume  
Resume workshop
Cover Letter 
Linux job description or duties
Exposure to Other Technologies
Homework and Handouts  
 
Module 10 – All About Interview  
IT Components
IT Job Statistics
Linus Around Us
Linux Operating System Jobs  
IT Management Jobs
Post Resume and What to Expect
Interview workshop
Redhat Certifications (RHCSA, RHCE etc.)
Join Linux Community
200+ interview questions
Homework

Course Recap

Commands We Have Learned
Don't Give up
Congratulations
Recap - Handouts

Additional Resources
Many extra lectures

=============================================================================================

Here is the testimonial from my students:
To all of you that are looking for a REALLY GOOD LINUX course, THIS IS IT, SERIOUSLY I promise you won't find a course on LINUX here that is THIS GOOD. -- T.J. Marstiller (Udemy Student)

Imran is a very knowledgeable and engaging instructor. As others have said, you can tell that he is not just trying to sell a course, but that he is invested in giving his students a strong career foundation with a positive and approachable attitude. He is also entertaining with his use of pop culture and practical work examples. It really feels like you're in a classroom with him. I'm taking this course mainly as a hobbyist, but got a lot from it already. The homework assignments, quizzes, and handouts help reinforce the material.   -- Raymond B.  (Udemy Student)

Main thing about course is its simplicity and the hierarchy. Design is very good and easy which helps to understand things better.  -- Akash Garg (Udemy Student)

I just love the teaching ad the learning experience I am getting  -- Jacob Samba (Udemy Student)

Imran Afzal might be my favorite teacher I've EVER had. He is funny, and engaging. The course was easy to follow, and with no experience starting I am now extremely comfortable with Linux, and actually really like it. He does make you do your googles, but this is not a bad thing especially considering the nature of IT and documentation to solve your own problems. I highly recommend.  -- Vanessa Diaz-Goumond (Udemy Student)

The course is run very well and I really like the handouts and the homework that is assigned. The homework helps me learn and continue with the learning process even when adult life is still progressing forward.  -- Thomas Rogers (Udemy Student)

Such an amazing instructor. Imran must have put in a lot of effort in structuring the course and taking the student step by step, he takes his time in explaining everything, from what Linux is, how to down load it, coding, etc. I have taken other courses from Imran. I am a student for life. Keep it up and please keep preparing more courses for please like us who can benefit from your way of teaching, knowledge and experience. Thank you.  -- Ali Shiekh (Udemy Student)

In the first place I say a big thank you to the instructor for making such a great course. I was afraid to learn Linux. I now feel very comfortable with Linux. I have understood both the concept behind and the practical as well. I would recommend every one who is NEW to Linux and wants to grab it once and for all without wasting time to go ahead and ENROLL. You will not regret it. I would like the instructor to do same for WINDOWS SERVER ADMIN., I don't seem to find any better and beginner oriented course out there that could be matched with this course. To me, it is the BEST Linux Course on Online. I just started some real world projects with Linux after this great course, I was new to Linux and in just a month I am on the command line always playing.  -- Opoku Bright (Udemy Student)

I genuinely look forward to additional courses in the future. This has been so informative. You hear the name oracle all the time, but this was well put in layman’s terms  -- Atoofa Hasan (Classroom Student)

Imran Afzal eats, breathes and sleeps Linux! He really knows his stuff. I feel like he has brought me from a novice level education to masters level in a short time period. Anyone who is looking to get a job in Linux should definitely take this course.  -- TJ Walker (Udemy Student)

Posted by free courses at May 22, 2026
CouseSites - Designer: Douglas Bowman | Dimodifikasi oleh Abdul Munir Original Posting Rounders 3 Column