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Decoding DevOps – From Basics to Advanced Projects with AI (Udemy.com)

Master DevOps with AWS, Docker, Kubernetes, GCP, GitHub Actions, ArgoCD, GitOps, Terraform, Monitoring & AI

Created by: Imran Teli

Last updated June 2026

Our take

Based on the ratings of 49,142 students, a sample of their written reviews and the syllabus, as the course stood in June 2026. No course pays to be reviewed.

Imran Teli's course is a very wide DevOps survey, about 64 hours over 378 lectures. It starts with Linux, Git, Vagrant and Bash, then moves through AWS, Jenkins, GitHub Actions, GitLab, Python, Terraform, Ansible, monitoring, Docker and Kubernetes, with a Google Cloud project along the way. The syllabus also adds AI helpers such as Copilot and Amazon Q. It is pitched at total beginners, though one reviewer calls it not beginner friendly, and the reviews suggest it suits people with a little tech background best.

Praise centers on clear explanations and real hands-on practice. Reviewers call the teaching easy to follow, and one working DevOps professional says it reinforced skills from the job. Another says it taught the foundations under the tools, like networks and operating systems. The complaints are consistent too. Some find it padded, with long setups and watch-me-do-it walkthroughs instead of exercises. One says parts are outdated, another says the teaching assistants tell stuck students to reinstall rather than debug, and one dislikes how much leans on AI. One more says it stays at the basics.

The ratings back up the praise. Nearly 30,000 of the roughly 49,000 ratings are five stars, and fewer than 1,000 are one or two stars. The course was last updated in June 2026. It is a paid course with huge scope, and it works best as a survey that helps you find which tools deserve a deeper, dedicated course later. Look elsewhere for fast, exercise-heavy training on one tool.

Best forNewcomers with a little tech background who want one course that touches every major DevOps tool.
Skip it ifYou want short, exercise-driven training on a single tool, or you dislike long watch-along videos.

Pros

  • Covers Linux, AWS, CI/CD, Terraform, Ansible, monitoring and Kubernetes in one place
  • Reviewers say explanations are clear and most lessons are hands-on
  • Real projects, including an AWS lift and shift and a Google Cloud build
  • Updated in June 2026, with a Bestseller badge and about 290,000 students

Cons

  • Some reviewers say it drags, with long setups and watch-me-do-it sections
  • Breadth over depth: one reviewer says it only teaches the basics
  • No coding exercises, and single reviewers report outdated steps and weak support
It is a fantastic course and everything was well explained and most importantly mostly everything was hands-on.
jatin thakur, a student

Labeled all levels with only basic computer knowledge required, but a reviewer warns it is not beginner friendly.

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What you will learn

  • Learn DevOps from total scratch
  • Linux and Server Management (Gemini CLI)
  • Networking fundamentals & Vagrant setup
  • YAML, JSON, and Bash scripting with GitHub Copilot (AI)
  • AWS Cloud (IAM, EC2, S3, RDS, EBS, ELB, Systems Manager, Lambda, VPC, Amazon Q, CloudWatch, Auto Scaling, Route 53)
  • Build & Test Automation using Git, Maven, Jenkins, GitHub Actions, and GitLab CI/CD
  • CI/CD Pipelines and DevOps Projects with Nexus, SonarQube & Slack integration
  • Python scripting Basics and for Automation and AWS tasks with Amazon Q (AI code assistant)
  • Infrastructure as Code using Terraform (VPC, modules, backends)
  • Configuration Management using Ansible
  • Monitoring & Observability with Prometheus, Grafana, Loki, Alert manager & Alloy
  • Docker and Kubernetes (production-grade setup, Helm with AI, Lens)
  • AWS DevOps Services: CodeCommit, CodeBuild, CodePipeline, Beanstalk, Lambda
  • GitOps Project — Build a complete GitOps deployment platform using GitHub Actions, Kubernetes, Helm, and ArgoCD.

Course content

29 sections · 378 lectures · 64 hours of video 27 quizzes, 13 articles

  1. 1Introduction 4 free previews6 lectures · 1 quiz · 31 min
  2. 2Prerequisites Info & Setup9 lectures · 50 min
  3. 3VM Setup 2 free previews7 lectures · 1 quiz · 1.4 hours
  4. 4Linux17 lectures · 13 quizzes · 3.2 hours
  5. 5GIT 1 free preview8 lectures · 1.2 hours
  6. 6Vagrant & Linux Servers11 lectures · 1 quiz · 2 hours
  7. 7Variables, JSON & YAML3 lectures · 32 min
  8. 8VProfile Project Setup Manual & Automated 1 free preview12 lectures · 1 quiz · 1.5 hours
  9. 9Networking4 lectures · 1 quiz · 54 min
  10. 10Introducing Containers6 lectures · 3 quizzes · 49 min

Who it is for

The instructor says it suits

  • Anybody who wants to Learn DevOps

What you need before you start

  • Basic Computer Knowledge

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Course Description

Decoding DevOps - Complete DevOps Learning Path

This course is designed to take you from DevOps beginner to job-ready DevOps Engineer through hands-on projects, real-world deployments, cloud infrastructure, CI/CD pipelines, Kubernetes, GitOps, Monitoring & Observability, and AI-powered automation.

You'll build and deploy applications across AWS, GCP, Docker, Kubernetes, and GitOps environments while learning the tools, workflows, and best practices used by modern DevOps teams.

Throughout the course, you'll work on real-world projects including multi-tier application deployments, cloud migrations, CI/CD implementations, Kubernetes deployments, Monitoring & Observability setups, and a complete GitOps project using GitHub Actions, Helm, Kubernetes, and ArgoCD.

The course also introduces AI-powered DevOps workflows using GitHub Copilot, Amazon Q, and AI-assisted Helm development to help you automate faster, troubleshoot smarter, and boost productivity.

By the end of this course, you'll have practical experience with Linux, AWS, GCP, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, Docker, Kubernetes, Monitoring, GitOps, ArgoCD, and AI-assisted DevOps workflows used in real-world cloud environments.



Foundation Layer

Linux & Infrastructure Fundamentals

  • Linux Fundamentals

  • Server Management in Linux

  • Vagrant

  • Networking Fundamentals

  • YAML & JSON

  • Bash Scripting

  • Variables, Conditions & Loops

  • Automating Administrative Tasks

Project

  • VProfile Project Introduction

  • Multi-VM Environment Setup



AI-Assisted Automation Layer

  • GitHub Copilot for Scripting & Automation

  • AI-Assisted Development Workflows

  • Amazon Q for Cloud Automation

  • AI-Integrated Helm Workflows



Cloud & Infrastructure Layer

AWS Cloud Fundamentals

  • Cloud Computing Concepts

  • IAM

  • EC2

  • EBS

  • ELB

  • SSM

  • CloudShell

  • AWS CLI

  • S3

  • CloudWatch

  • RDS

  • Auto Scaling

  • Route53

Project: Lift & Shift Application to AWS

  • Application Migration to AWS

  • Cloud Architecture Best Practices

Project: Re-Architecting Applications on AWS

  • PaaS-Based Architecture

  • SaaS-Based Architecture

  • Cloud-Native Design Principles



CI/CD & Automation Layer

Source Control & Build Automation

  • Git

  • GitHub

  • Maven

Jenkins

  • CI/CD Pipelines

  • Master/Agent Architecture

  • Nexus Integration

  • SonarQube Integration

  • Automated Build & Deployment Workflows

GitHub Actions

  • Workflow Automation

  • Self-Hosted Runners

  • Security Scanning

  • CI/CD Pipelines

GitLab CI/CD

  • Pipelines

  • Stages

  • Docker Integration

  • Automated Deployments



Python Automation Layer

  • Python Fundamentals for DevOps

  • OS Automation

  • AWS Automation with Python

  • Amazon Q Assisted Development



Infrastructure as Code Layer

Terraform

  • Terraform Fundamentals

  • Variables

  • Modules

  • Remote State & Backends

  • Infrastructure as Code Best Practices

Project

  • AWS VPC Automation using Terraform



Monitoring & Observability Layer

Modern DevOps is incomplete without observability. Learn how to collect, visualize, analyze, and act on metrics, logs, and operational data.

Monitoring & Observability

  • Monitoring Fundamentals

  • Observability Fundamentals

  • Why Monitoring Matters in Production

  • Prometheus Setup & Configuration

  • Grafana Setup & Dashboarding

  • Loki for Centralized Logging

  • Alloy for Metrics & Logs Collection

  • PromQL Fundamentals

  • Dashboard Design Best Practices

  • Alerting & Notification Strategies

  • Slack Integrations

  • Centralized Logging Workflows

  • Production Monitoring Practices



Configuration Management Layer

Ansible

  • Ad Hoc Commands

  • Modules

  • YAML Fundamentals

  • Playbooks

  • Variables

  • Conditions

  • Loops

  • Templates

  • Handlers

  • Roles

AWS Automation with Ansible

  • Cloud Provisioning

  • Configuration Management

  • Deployment Automation



Advanced AWS DevOps Layer

  • VPC Deep Dive

  • AWS Lambda

  • Cloud Logging

  • Custom Metrics

  • Monitoring & Automation

Project: CI/CD on AWS

  • Elastic Beanstalk

  • RDS

  • CodePipeline

  • Automated Deployments

  • Production CI/CD Workflows



Google Cloud Platform Project

Multi-Tier Application Deployment on GCP

  • Cloud Shell

  • VPC

  • Firewall Rules

  • Virtual Machines

  • Cloud SQL

  • Memorystore

  • Cloud DNS

  • Managed Instance Groups

  • HTTPS Load Balancers

  • Certificate Manager

  • Production-Grade Cloud Architecture



Containerization & Kubernetes Layer

Docker

  • Containers

  • Images

  • Dockerfiles

  • Volumes

  • Networks

  • Container Best Practices

Kubernetes

  • Kubernetes Architecture

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Instructor Details

Imran Teli

Hey, I’m Imran Teli — Founder & CEO of HKH Infotech, and a passionate DevOps consultant and trainer who lives to turn complex infrastructure nightmares into smooth, scalable, and fully automated realities.

With over a decade of real-world experience (including high-stakes cloud operations at Cisco WebEx), I’ve designed, implemented, and optimized CI/CD pipelines, Infrastructure-as-Code ecosystems, Kubernetes orchestrations, and cloud-native workflows for startups and large enterprises alike. At HKH Infotech, we help companies slash deployment times by 70%+, eliminate downtime risks, and ship value faster through battle-tested GitOps and DevOps practices.

Teaching is where my consulting experience truly shines. As one of Udemy’s bestselling DevOps instructors with 272,000+ students and a consistent 4.6/5 rating, I don’t just teach tools — I teach you how to build production-grade systems that survive real traffic, scale effortlessly, and evolve with your business.

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Reviews

4.6

49,142 ratings on Udemy

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

By I Putu Herjuna Manasye Suarthana on 8/6/2026

The course not only taught me DevOps and tools, but the fundamental skills for that as well – infrastructure, cloud, networks, operating systems, and so many more valuable skills. Thank you Imran and the course team for the amount of effort put into this. Your course was amazing :)

By Alok Kumar Thakur on 6/27/2026

The course covers each and every tool and conceptual clarity that the instructor provides is way above expectations. Though this course is not beginner friendly. But even if you have a little bit of work experience/ done some self-projects on web-development, this is a must do course for gaining deep conceptual clarity. Thanks a lot, Imran! Will always be grateful for this course.

By Piyush Bhandarkar on 6/17/2026

The Leture till now is quiet good and understandable, just it feels a little bit difficult to understand the filters and the VIM Commands, that lectures need a little bit slow.

By Talha Rehman on 4/26/2026

It's a nice course for beginners to intermediate and for experienced if they need to brush up their skills, for those learning new, i would recommend to learn completely one section before moving on to next section.

By David Rawlins on 4/15/2026

I had other virtual server solutions configured on my Windows host. This exercise clearly showed where to disable those features to allow VirtualBox to run! That was so appreciated. Very detailed. Very good explanations on why we are doing things. I'm loving this course so far!

By Bhadresh C. Parmar on 3/30/2026

I learnt lot of things from this course . It is very helpful for beginner. This course design content step by step so that we clear the concepts . Thank you so much Udemy for this amazing course .

By Farhad Ahmed on 3/29/2026

The course demonstrates that Imran is highly knowledgeable, and he does a thorough job covering a wide range of DevOps concepts. However, the overall structure of the course makes it feel much longer than it needs to be. Many sections take a “watch me do it” approach rather than guiding the learner to actively practise and build confidence through hands‑on tasks. As a result, the key points sometimes get buried under lengthy walkthroughs, and it can be difficult to stay engaged or feel like you’re progressing. A more concise, action‑oriented structure focused on essential concepts followed by practical exercises would make the learning experience far more effective. While the content is solid, the pacing and teaching style may not suit learners who prefer a more direct, task‑driven approach.

By Kutbuddin on 3/16/2026

i have already did a max part of this series a long ago. i thought that i should skip the linux section but thank god i didn't. there is so much more to learn everytime.i wish i had found this course earlier. though i would say the presentations are damn boring like hell but practical are..... till now it's going well lets see what happens throughout the course. edit:- so i am on python part and the software asked me that you are halfway would you change your reviews? I would still say that i wish i had found this course earlier. thanks imran,udemy and all the people/team behind this. absolutely grateful.❤️

By Arman Hossain on 1/26/2026

Overall I got the idea about Devops, If you are complete beginner in Devops and want to learn the topics devops, this course is recommended, Although videos are too long, As it can be shorter with only exact information. So that We can learn fast and research about exact thing on our own.

By Khalfaoui Amine on 12/25/2025

⭐⭐⭐⭐⭐ This is one of the best DevOps courses I have taken on Udemy. Imran Teli explains complex concepts in a simple and practical way, making it easy to understand both the fundamentals and advanced topics. I especially appreciate the hands-on projects, real-world examples, and the coverage of modern DevOps tools and practices. The course helped me gain a clearer understanding of CI/CD, Docker, Kubernetes, cloud technologies, automation, and DevOps workflows. The content is well-structured, beginner-friendly, and also valuable for learners who already have some IT experience. I highly recommend this course to anyone who wants to build strong DevOps skills and work on practical projects.

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Overall Score : 92 / 100