Udemy - Decoding DevOps - From Basics to Advanced Projects with AI Free Download

Udemy – Decoding DevOps – From Basics to Advanced Projects with AI
English | Tutorial | Size: 21.62 GB

Master DevOps with AI, AWS, GCP, Linux, Jenkins, Gitlab, GithubActions, Docker, Kubernetes, Terraform, Ansible & GitOps

This course is designed for anyone who wants to start or advance their DevOps career through hands-on, project-based learning.

You’ll begin with Linux, 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 with real projects, like setting up the Vprofile application across multiple DevOps stages – from on-premise to AWS to Kubernetes.

The course also introduces AI-powered tools such as GitHub Copilot, Amazon Q, and AI-integrated Helm, helping you automate faster, code smarter, and build intelligent DevOps pipelines.

And now – introducing the brand-new Monitoring & Observability section, where you’ll learn how to collect, visualize, and analyze metrics, logs, and traces using tools like Prometheus, Grafana, Loki, and Alloy.

By the end, you’ll master both the core DevOps practices and modern 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

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