Decoding DevOps - From Basics to Advanced Projects with AI

voska89 · 2026-06-08T04:28:39+0300

Decoding DevOps - From Basics to Advanced Projects with AI
Last updated 5/2026
Created by Imran Teli
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 378 Lectures ( 63h 52m ) | Size: 39.6 GB

Master DevOps with AI, AWS, GCP, Linux, Jenkins, Gitlab, GithubActions, Docker, Kubernetes, Terraform, Ansible & GitOps
What you'll 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 - end-to-end CI/CD workflow with Git as the single source of truth
Requirements

Basic Computer Knowledge
Description
This course is designed for anyone who wants tostart or advance their DevOps career throughhands-on, project-based learning.
You'll begin withLinux, networking, and scripting fundamentals, then progress through key DevOps tools -Git, Jenkins, GitHub Actions, GitLab, Terraform, Ansible, Docker, Kubernetes, and AWS Cloud.
Each step builds on the last withreal projects, like setting up theVprofile application across multiple DevOps stages - from on-premise to AWS to Kubernetes.
The course also introducesAI-powered tools such asGitHub Copilot,Amazon Q, andAI-integrated Helm, helping youautomate faster, code smarter, and build intelligent DevOps pipelines.
And now - introducing the brand-newMonitoring & Observability section, where you'll learn how tocollect, visualize, and analyze metrics, logs, and traces using tools likePrometheus, Grafana, Loki, and Alloy.
By the end, you'll master both thecore DevOps practices andmodern AI-driven workflows, preparing you for real-world cloud and automation environments.
Step-by-Step Learning Path
Step 1

Basics of Linux

Server Management in Linux

Vagrant

Basics of Networking

Project: VProfile Project Intro & Setup on VMs
Step 2

YAML & JSON

Bash Scripting (Variables, Conditions, Loops)

Automating Admin Tasks

GitHub Copilot as AI Assistant for Scripting
Step 3

Cloud Computing Intro

IAM, EC2, EBS, ELB

SSM & CloudShell Intro

AWS CLI, S3, CloudWatch, RDS, Auto Scaling, Route53

Project: Lift & Shift Web App to AWS

Re-Architecting Web App on AWS (PaaS & SaaS)
Step 4

Git & GitHub

Maven Build Tools

Jenkins (CI/CD Pipelines, Master/Slave, Nexus, SonarQube)

GitHub Actions (Workflows, Runners, Security Scans)

GitLab CI/CD (Pipelines, Stages, Docker Integration)
Step 5

Python Scripting

Automating OS Tasks

Python for AWS using Amazon Q (AI)
Step 6

Terraform Fundamentals (Variables, Modules, Backends)

Infrastructure as Code for VPC Setup
Step 7 - Monitoring & Observability

Introduction to Monitoring & Observability

Why Monitoring is Essential for DevOps

Setting up Prometheus, Grafana, Loki, and Alloy

Writing Queries with PromQL

Connecting Grafana Data Sources

Building Dashboards and Alerts

Slack Integrations for Real-Time Notifications

Integrating Loki and Alloy for Logs and Metrics
Step 8

Ansible Intro

Ad Hoc Commands, Modules, YAML Basics

Playbooks, Variables, Conditions, Loops

Handlers, Templates, Roles

Ansible for AWS Automation
Step 9

AWS (VPC Deep Dive, Lambda, Logging, Custom Metrics)

Project: CI/CD on AWS - Beanstalk, RDS, CodePipeline
Step 10

Project: Google cloud platform for multi tier app setup

GCP Cloud shell

VPC

Firewalls

VMs

Cloud SQL & Memorystore

Cloud DNS

Managed Instance groups

Secure HTTPS Load Balancers

Certificate Manager
Step 11

Docker (Containers, Images, Volumes, Networks)

Kubernetes (Setup, Objects, Autoscaling, Ingress, ConfigMaps)

Helm with AI, Lens

Project: VProfile Deployment on Kubernetes
Step 12

Project on GitOps
Who this course is for

Anybody who wants to Learn DevOps
Homepage

Code:

https://www.udemy.com/course/decodingdevops

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Decoding DevOps - From Basics to Advanced Projects with AI

voska89

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