Courses | Devriston — Linux, Cloud & DevOps Training

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COURSE 01 / 03

🐧

Linux Fundamentals
— RHCSA Path

Start from zero. By the end, you'll manage a real Linux server — users, networking, file sharing, web, DNS, DHCP — and deploy a full enterprise project from scratch.

Beginner → Intermediate 🟢 Live Online Batches 🎯 RHCSA Aligned

Enroll via WhatsApp →

Batch info, schedule & fee on request

// 16 modules · theory + hands-on lab per module · Linux vs Windows comparisons · final project included

📖

Free Lecture Notes Available

Every module has complete written notes — concepts, commands, Linux vs Windows comparisons. Read free, no signup.

Read Free Notes →

MODULE 01

What is Linux?

Why Linux powers 90% of the internet. How it compares to Windows — GUI vs terminal, free vs paid, open vs closed. Where you'll use it and why it matters for your career.

introlinux vs windowshistorydistros

MODULE 02

Installation & First Boot

Install Linux on a VM using VirtualBox. Understand disk partitions, bootloader, and what happens when the system starts. Windows calls it "setup wizard" — Linux calls it an installer with real control.

virtualboxrhelpartitioningGRUB

MODULE 03

The Terminal — Basic Commands

Navigate files, create/delete/move, read logs, check disk. Windows uses File Explorer with clicks — Linux does all of it faster with commands. Every command explained in plain language before you type it.

ls cd cp mvgrepfindman

MODULE 04

Text Editors — Nano & Vim

Nano is simple — open, edit, save, done. Vim is powerful once you know it — used by every senior engineer. We cover both. Start with nano, graduate to vim. Windows equivalent: Notepad vs VS Code.

nanovimviconfig files

MODULE 05

Users & Permissions

On Windows: right-click → Properties → Security tab. On Linux: useradd, chmod, chown — precise, scriptable, auditable. Learn why Linux permission model is more powerful.

useraddgroupschmodchownsudo

MODULE 06

Package Management

Windows: download .exe, click through installer, hope for the best. Linux: one command installs, updates, or removes any software — no popups, no wizard, no hidden toolbars. dnf, yum, and apt covered.

dnfyumaptrpmrepos

MODULE 07

Storage & LVM

Add a new disk, partition it, format it, mount it. LVM lets you resize disks live — like stretching a partition while it's in use. Windows has Disk Management; Linux has more control.

lvmfdiskmountdf dufstab

MODULE 08

Processes & Services

Windows has Task Manager. Linux has ps, top, htop, and systemd — start, stop, enable services on boot, check logs. More control, less clicking.

systemctlpskilljournalctlhtop

MODULE 09

Networking Basics

IP addresses, static vs DHCP, configure network interfaces, test connectivity, SSH into a remote server. Windows uses Network Settings GUI — Linux uses nmcli and config files you fully control.

ip addrnmclisshpingfirewalld

MODULE 10

SELinux Basics

SELinux is a security layer built into RHEL — it controls what every process can access, even if it's running as root. Think of it as Windows Defender built into the kernel but far more granular. RHCSA exam topic.

SELinuxenforcingpermissivecontextsaudit2allow

MODULE 11

Web Server — Apache & Nginx

Set up a working web server, host a website, configure virtual hosts. Windows uses IIS — Linux uses Apache or Nginx. Both are faster to configure from terminal than any GUI.

apachenginxvhostsslcertbot

MODULE 12

DHCP Server

What DHCP does (hands out IP addresses automatically so you don't configure every device manually) and how to run your own DHCP server. Windows Server has the same role — Linux does it with one config file.

dhcpdleasessubnetrange

MODULE 13

DNS Server

DNS translates domain names to IP addresses — like a phone book for the internet. Build your own DNS server with BIND. Windows DNS Manager does the same thing with more clicks and less flexibility.

bind9zonesA recordsPTRdig nslookup

MODULE 14

File Sharing — NFS & Samba

Share folders between Linux machines (NFS) and between Linux and Windows (Samba). Samba makes Linux look like a Windows file server to any Windows client — no special software needed on Windows.

nfssambasmb.confmountcifs

MODULE 15

Security Hardening

SSH key login (no passwords), firewall rules, fail2ban to block brute-force, disable unused services, audit logs. Windows has Group Policy — Linux gives you tighter control with simpler config files.

ssh keysfail2banfirewalldauditdsshd_config

MODULE 16

Shell Scripting — Automate It

Write bash scripts that run backups, check disk, send alerts, rotate logs. Windows has PowerShell — bash is simpler for Linux automation and runs on every server on the planet without installing anything.

bashvariablesloopscronfunctions

🏆

Final Project — Enterprise Samba4 Active Directory

Deploy a full enterprise AD domain on Linux using Ansible automation — Samba4 DC, user management, DNS, Kerberos auth, SSH hardening, and Prometheus monitoring. Same setup used in real organizations migrating from Windows Server. Fork the repo, complete it, push it — it's your portfolio project.

View Repo on GitHub →

COURSE 02 / 03

☁️

Cloud Fundamentals
— AWS Deep Dive

Understand cloud computing, explore what AWS, GCP, Azure, and DigitalOcean offer, then go deep on AWS — the platform that runs most of the internet. Build real infrastructure from day one.

Beginner → Intermediate 🟢 Live Online Batches ☁️ AWS-Focused

Enroll via WhatsApp →

Batch info, schedule & fee on request

// 14 modules · theory + hands-on lab per module · final project included

MODULE 01

What is Cloud Computing?

Why companies moved from their own servers to the cloud. What "renting" computing means. Public vs private vs hybrid — explained with real examples, not buzzwords.

IaaSPaaSSaaSon-prem vs cloud

MODULE 02

Cloud Providers Overview

AWS, GCP, Azure, DigitalOcean — what each is best at, who uses them, and how to create a free account on each. You'll know which platform fits which job.

AWSGCPAzureDigitalOcean

MODULE 03

AWS Core — IAM & Console

Navigate the AWS console, create IAM users with least-privilege access, set up MFA. Security before anything else — a habit professionals develop from day one.

IAMusersrolespoliciesMFA

MODULE 04

EC2 — Your Server in the Cloud

Launch a virtual server on AWS, pick the right instance size, connect via SSH, install software, and understand what you're paying for. The most-used AWS service.

EC2key pairssecurity groupsAMI

MODULE 05

VPC — Your Private Network

Build your own virtual network inside AWS — public subnets (internet-facing), private subnets (internal only), routing tables, internet gateway. The foundation of AWS architecture.

VPCsubnetsIGWroute tablesCIDR

MODULE 06

Static IPs, DNS & Route 53

Assign a permanent IP to your server (Elastic IP), point a domain name to it with Route 53, understand how DNS works in AWS. Your server gets a real address.

Elastic IPRoute 53A recordshosted zones

MODULE 07

Load Balancer & Auto Scaling

What a load balancer does (splits traffic across servers) and how Auto Scaling adds/removes servers based on demand. This is how real apps handle thousands of users.

ALBtarget groupsAuto Scalinglaunch templates

MODULE 08

S3 — Storage in the Cloud

Store files, images, backups, and static websites on S3. Understand buckets, permissions, versioning, and lifecycle rules. Used by almost every application on AWS.

S3bucketsACLversioningstatic site

MODULE 09

RDS — Managed Databases

Launch a MySQL or PostgreSQL database on AWS without managing a server. Understand Multi-AZ for high availability, automated backups, and connection from EC2.

RDSMySQLMulti-AZsnapshots

MODULE 10

Backup, Snapshots & AMIs

Create server images (AMI) so you can launch identical copies anytime. Take EBS snapshots for disaster recovery. The safety net every production setup needs.

AMIEBS snapshotsAWS Backuprestore

MODULE 11

Monitoring with CloudWatch

Watch your server health, set up alarms for high CPU or low disk, get email alerts before problems become outages. Monitoring is not optional in production.

CloudWatchalarmsmetricsSNS

MODULE 12

AWS CLI — Control AWS from Terminal

Nobody clicks the AWS console in production. The CLI lets you launch servers, manage S3, check status — all from a terminal. Scriptable, automatable, faster. Essential for DevOps work.

aws cliconfigureec2 describes3 cpprofiles

MODULE 13

Lambda — Serverless Functions

Lambda runs your code without a server — you upload a function, it runs when triggered, you pay only for what runs. Perfect for automations, schedulers, and event-driven tasks. Serverless is everywhere now.

LambdatriggersEventBridgePython runtimeserverless

MODULE 14

Cost Management & Billing Alerts

AWS bills you for what you run — a forgotten EC2 instance costs real money. Set up billing alerts, understand the free tier limits, use Cost Explorer, and never get a surprise invoice.

Cost Explorerbilling alertsfree tierbudgetsrightsizing

🏆

Final Project — AWS 3-Tier Production Infrastructure

Build a complete AWS architecture: custom VPC with public/private subnets, EC2 with Auto Scaling behind a Load Balancer, RDS in a private subnet, S3 for assets, CloudWatch alarms. Provisioned with Terraform so it's repeatable. Based on the Devriston production repo — fork it, complete it, add it to your GitHub.

Read the Case Study →

COURSE 03 / 03

⚙️

DevOps Bootcamp
— Zero to Production

The complete DevOps learning path — every phase of the DevOps cycle, every core tool, explained simply and practiced hands-on. Your GitHub repos from this course become your job portfolio.

Beginner → Job-Ready 🟢 Live Online Batches 📂 5 GitHub Portfolio Projects

Enroll via WhatsApp →

Batch info, schedule & fee on request

// 17 modules · every DevOps phase covered · 5 real GitHub projects as assignments

MODULE 01

What is DevOps?

DevOps is a way of working — not just tools. Dev and Ops teams used to work separately and blame each other. DevOps fixes that. Simple as that.

culturedev vs opsagile basics

MODULE 02

The DevOps Roadmap

The full career path — what to learn, in what order, and why. Tools, phases, and skills mapped out so you always know where you are and what's next.

roadmapcareerlearning path

MODULE 03

Linux for DevOps

The command line skills every DevOps engineer must have — file system, processes, permissions, SSH, shell scripting. Everything you'll use every single day.

bashsshsystemctlscripting

MODULE 04

Git & Version Control

Git is how code is tracked and shared. Learn to commit, branch, merge, resolve conflicts, and understand the workflow every team uses. GitHub account + first repo set up.

gitbranchingmergeGitHubPRs

MODULE 05

Bash Scripting

Automate repetitive tasks with shell scripts. Variables, loops, conditions, functions, cron jobs. Write scripts that actually save you hours every week.

bashloopsfunctionscron

MODULE 06

Docker — Containers Explained

A container is a box your app runs in — same everywhere, no "works on my machine" problem. Build images, run containers, write Dockerfiles, use Docker Compose for multi-service apps.

dockerDockerfilecomposeimagesvolumes

MODULE 07

Podman — Docker's Alternative

Podman does what Docker does but without a background daemon — which makes it more secure and RHEL-native. Learn the differences and when each is the right choice.

podmanrootlessRHELvs docker

MODULE 08

CI/CD — Automate Your Deployments

CI/CD means every code push automatically gets tested, built, and deployed — no manual steps. Understand the pipeline concept before touching a tool.

pipelinestagesbuildtestdeploy

MODULE 09

GitHub Actions — Build Your First Pipeline

Write YAML workflows that run on every push — test your code, build a Docker image, push to a registry, deploy to a server. The most-used CI/CD tool in the industry right now.

GitHub ActionsworkflowsYAMLsecretsECR

MODULE 10

Infrastructure as Code — Terraform

Write code that creates servers instead of clicking through a console. Terraform provisions cloud infrastructure — reproducible, version-controlled, team-shareable.

terraformHCLplan applystatemodules

MODULE 11

Ansible — Automate Server Config

Ansible configures servers using YAML playbooks — install software, manage users, apply security rules across 1 or 100 machines simultaneously. No agent needed.

ansibleplaybooksinventoryrolesidempotent

MODULE 12

Kubernetes — Container Orchestration

Kubernetes manages containers at scale — starts them, restarts failed ones, balances traffic. Understand Pods, Deployments, Services, and why K8s exists before you install it.

K8spodsdeploymentsserviceskubectl

MODULE 13

Monitoring & Observability

Prometheus collects metrics, Grafana shows them as dashboards, AlertManager sends you an alert when something breaks. You'll never want to run a server without monitoring again.

prometheusgrafanalokialertmanagerPromQL

MODULE 14

DevOps Workstation Setup

Set up a professional DevOps environment on your own machine — Terraform, Docker, Ansible, Vagrant, AWS CLI — all provisioned by a single Ansible playbook in under 10 minutes.

ansibleautomationworkstationaws cli

MODULE 15

Python for DevOps

You don't need to be a developer — you need to read, write, and run Python scripts. This module covers what DevOps engineers actually use: boto3 for AWS automation, requests for APIs, file parsing, and writing simple tools.

pythonboto3scriptsautomationjson

MODULE 16

Secrets Management

Never put passwords in your code or repos. Secrets management means storing credentials safely and giving access only when needed. HashiCorp Vault and AWS Secrets Manager — how they work and how to use them.

vaultAWS Secretsenv varsGitHub secretsrotation

MODULE 17

GitOps & ArgoCD Intro

GitOps means your Git repo is the single source of truth for your infrastructure — every change goes through Git, not SSH. ArgoCD watches your repo and syncs your Kubernetes cluster automatically. The direction the industry is heading.

GitOpsArgoCDsyncdeclarativeK8s

🏆

5 Portfolio Projects — All from Devriston's Real GitHub Repos

Each major module ends with a GitHub assignment: (1) CI/CD Pipeline — push to production automatically, (2) Docker Self-Healing Platform — containers that fix themselves, (3) Monitoring Stack — full Prometheus + Grafana + Loki setup, (4) Terraform AWS Infrastructure — multi-tier cloud with IaC, (5) K8s Cluster — kubeadm 3-node cluster with Ansible. Fork, complete, push — your GitHub becomes your resume.

View All Repos →

COURSE 04 / 04

🤖

AI for IT Professionals
— Practical Guide

Not an AI research course. Use AI as a daily tool — run models locally, call AI APIs, build simple automations, and use AI to write better scripts, debug faster, and work smarter as a DevOps or IT professional.

Beginner → Practitioner 🆕 New Course 🤖 Hands-on Tools

Enroll via WhatsApp →

Batch info, schedule & fee on request

// 12 modules · every module hands-on · no math required · practical tools throughout

MODULE 01

What is AI? (Plain Language)

Not sci-fi. AI is software that learns patterns from data instead of following fixed rules. History from rule-based systems to neural networks to today's LLMs — explained simply with no math.

AI basicsLLMneural networkshistory

MODULE 02

ML vs Deep Learning vs GenAI

Machine Learning predicts from data. Deep Learning uses neural networks. Generative AI creates new content — text, code, images. What each is used for and when you'd encounter each in IT work.

MLdeep learningGenAIuse cases

MODULE 03

AI Tools Landscape

ChatGPT, Claude, Gemini, Grok, Copilot — what each is best at, free vs paid tiers, when to use which. Also covers Perplexity, You.com, and other alternatives to Google Search powered by AI.

ChatGPTClaudeGeminiGrokPerplexity

MODULE 04

Running AI Locally — Ollama

Ollama lets you run LLMs on your own machine — no internet, no API cost, no data leaving your computer. Install on Linux/Windows, pull models (Llama3, Mistral, Phi3), run from terminal or browser UI.

ollamalocal LLMllama3mistralprivacy

MODULE 05

Open Source Models

Llama (Meta), Mistral, Phi (Microsoft), Falcon, Gemma (Google) — who makes them, what each is good at, how to pick the right one for your hardware. HuggingFace explained — the GitHub of AI models.

open sourceHuggingFacellamaphimodel selection

MODULE 06

Alternative Platforms & Self-Hosted AI

Open WebUI — browser interface for Ollama. AnythingLLM — chat with your own documents. HuggingFace Spaces — run models online free. Self-hosted AI stack setup with Docker Compose.

Open WebUIAnythingLLMself-hosteddockeralt3

MODULE 07

Prompt Engineering

How to talk to AI to get useful output — not generic answers. Roles, context, examples, step-by-step thinking, output format control. Specific prompts for DevOps: write scripts, debug errors, explain logs, generate configs.

promptsroleschain-of-thoughtDevOps prompts

MODULE 08

AI in DevOps Workflows

GitHub Copilot — code completion in VS Code, write Dockerfiles, Terraform, Ansible with AI assistance. Using Claude/ChatGPT to debug errors — paste log, get fix. AI-assisted code review, writing documentation.

GitHub CopilotVS CodeAI debuggingautomation

MODULE 09

AI APIs — OpenAI, Claude, Gemini

What an API is (for non-developers). Call OpenAI and Claude APIs from Python — authentication, sending prompts, parsing responses. Build a simple tool: paste a server log → AI explains what went wrong.

OpenAI APIClaude APIPythonrequestsJSON

MODULE 10

Building Simple AI Tools

Python + API = real tools. Build a log analyser (paste log → AI explains + suggests fix), a documentation generator (read code → write docs), and a simple chatbot for your own data using RAG basics.

Pythonlog analyserRAG basicsautomation

MODULE 11

AI Infrastructure on Cloud

GPU instances on AWS (g4dn, p3) — what they cost and when you need them. Running Ollama on EC2 for team access. Cost comparison: local GPU vs cloud GPU vs API. When each makes financial sense.

AWS GPUg4dnEC2cloud AIcost

MODULE 12

Ethics, Limits & What AI Can't Do

Hallucinations — what they are, why they happen, how to catch them. Never paste client data or passwords into ChatGPT. AI replacing jobs — realistic view based on what AI actually can and can't do in 2026.

hallucinationsdata privacyethicslimitationsjobs

🏆

Final Project — AI-Powered DevOps Tool

Build a Python tool that reads your server logs, sends them to an AI API, gets a plain-language explanation of any errors, and suggests fixes. Then deploy it on EC2 and run it on a schedule with cron. A real tool you'll actually use — and a unique GitHub project that stands out to employers.

View GitHub Repos →

Learn from someone who
runs it in production.

What makes Devriston courses different

Pick your learning path.

Linux Fundamentals
— RHCSA Path

Cloud Fundamentals
— AWS Deep Dive

DevOps Bootcamp
— Zero to Production

AI for IT Professionals
— Practical Guide

How it works

Pick your course

Join the next batch

Build every session

Ship your final project

Built and taught by someone who does this daily.

Muhammad Kamran Kabeer

Common questions

Ready to start?

Learn from someone whoruns it in production.

What makes Devriston courses different

Pick your learning path.

Linux Fundamentals— RHCSA Path

Cloud Fundamentals— AWS Deep Dive

DevOps Bootcamp— Zero to Production

AI for IT Professionals— Practical Guide

How it works

Pick your course

Join the next batch

Build every session

Ship your final project

Built and taught by someone who does this daily.

Muhammad Kamran Kabeer

Common questions

Ready to start?

Learn from someone who
runs it in production.

Linux Fundamentals
— RHCSA Path

Cloud Fundamentals
— AWS Deep Dive

DevOps Bootcamp
— Zero to Production

AI for IT Professionals
— Practical Guide