Description

Complete DevOps Course with AWS, Docker, Kubernetes, Terraform & AI Tools (Beginner to Advanced)

Requirements

• Basic computer knowledge

• Willingness to learn DevOps through practical, real-world projects

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Course Description

This Complete DevOps Mastery Course is designed for beginners and professionals who want to build a solid DevOps career using real industry projects and hands-on automation.

You’ll start with the fundamentals — Linux, networking, and scripting — and gradually progress to advanced DevOps tools such as Git, GitHub, Jenkins, GitLab CI/CD, Terraform, Ansible, Docker, Kubernetes, and AWS Cloud.

Throughout the course, you’ll work on real-world projects, including deploying the VProfile application across different DevOps environments: virtual machines, AWS cloud, and Kubernetes clusters.

You’ll also learn how to supercharge your DevOps workflows using AI-powered tools like GitHub Copilot, Amazon Q, and AI-assisted Helm, helping you write faster, automate smarter, and build intelligent CI/CD pipelines.

A brand-new Monitoring & Observability module has been added, where you’ll master tools such as Prometheus, Grafana, Loki, and Alloy for complete system monitoring, log management, alerting, and operational visibility.

By the end of this course, you’ll be fully equipped with practical DevOps skills, cloud automation capabilities, and modern AI-driven workflows — everything needed to succeed in a real production environment.

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Step-by-Step Learning Path

Step 1 — Linux & Networking Essentials

• Linux fundamentals

• Server and VM management

• Vagrant workflow

• Basic networking concepts

• Project: VProfile project introduction & setup on VMs

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Step 2 — Scripting & Automation

• YAML & JSON basics

• Bash scripting (variables, conditions, loops)

• Automating system admin tasks

• Using GitHub Copilot as an AI assistant for scripting

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Step 3 — AWS Cloud Foundations

• Introduction to AWS & cloud computing

• IAM, EC2, EBS, ELB

• SSM & CloudShell

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

• Project: Lift & shift web app to AWS

• Re-architecting the application using PaaS & SaaS

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Step 4 — Version Control & CI/CD Pipelines

• Git & GitHub workflows

• Maven build tool

• Jenkins (CI/CD, Master/Agent setup, Nexus, SonarQube)

• GitHub Actions (workflows, runners, security scans)

• GitLab CI/CD (pipelines, stages, Docker integration)

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Step 5 — Python for DevOps

• Python scripting for automation

• OS automation tasks

• Python for AWS using Amazon Q (AI-powered automation)

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Step 6 — Terraform & Infrastructure as Code

• Terraform fundamentals (variables, modules, backends)

• IaC implementation for VPC setup

• Deploying cloud architecture using reusable modules

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Step 7 — Monitoring & Observability

• Monitoring & observability concepts

• Why monitoring is critical in DevOps

• Setting up Prometheus, Grafana, Loki, and Alloy

• PromQL queries for metrics analysis

• Connecting Grafana data sources

• Building dashboards & proactive alerts

• Slack integration for real-time notifications

• Centralized logs & metrics with Loki + Alloy

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Step 8 — Ansible for Automation

• Introduction to Ansible

• Ad hoc commands & modules

• YAML, playbooks, variables, loops, handlers, templates, roles

• Ansible for AWS automation & configuration management

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Step 9 — Advanced AWS Deployment

• VPC deep dive

• Lambda functions

• Logging & custom metrics

• Project: CI/CD on AWS with Beanstalk, RDS & CodePipeline

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Step 10 — Containers & Kubernetes

• Docker (containers, images, volumes, networks)

• Kubernetes fundamentals (objects, autoscaling, ingress, ConfigMaps)

• Helm with AI support

• Lens for Kubernetes visualization

• Project: Deploy VProfile app on Kubernetes

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Step 11 — GitOps Project

• GitOps fundamentals

• Git-based CI/CD workflows

• Automating Kubernetes deployments using GitOps tools

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Who This Course Is For

• Anyone who wants to learn DevOps from scratch

• IT professionals looking to advance into DevOps roles

• System admins, developers, cloud engineers, and aspiring DevOps engineers

• Anyone seeking hands-on, project-based DevOps training

Please Note: Files will be included in this purchase only Full Course Video & Course Resources. You will get cloud storage download link with life time download access.