Full Stack AI DevOps for Developers | AWS, Azure, GCP, K8S

Full Stack AI DevOps for Developers | AWS, Azure, GCP, K8S - Master CI/CD, Docker, Kubernetes, and Cloud DevOps using AWS, Azure DevOps, and GCP with real-world projects

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What you'll learn

• BECOME A DEVOPS ENGINEER: Transition from developer to DevOps engineer by mastering CI/CD pipelines, automation, and production-grade DevOps workflows.
• ACCELERATE YOUR DEVOPS CAREER: Build real-world DevOps skills using AWS DevOps, Azure DevOps, Jenkins, Docker, and Kubernetes.
• MASTER CI/CD PIPELINES: Design end-to-end CI/CD pipelines using Azure DevOps CI/CD, Jenkins, and AWS DevOps best practices.
• DEPLOY WITH CONFIDENCE: Replace manual deployments with automated DevOps pipelines trusted in real production environments.
• BUILD REAL DEVOPS PROJECTS: Implement hands-on DevOps projects using Docker, Kubernetes, AWS, and Azure DevOps pipelines.
• SHIP CODE WITHOUT FEAR: Use CI/CD automation to deploy applications safely without relying on manual commands or memory.
• ELIMINATE HUMAN ERRORS: Prevent failed builds and broken deployments using automated testing, Docker image versioning, and pipelines.
• BUILD ONCE, RUN ANYWHERE: Create consistent Docker and Kubernetes deployments that work across local, staging, and production.
• ENABLE FAST FEEDBACK LOOPS: Catch bugs early using CI/CD pipelines, Jenkins
• ADOPT A PRODUCTION DEVOPS MINDSET: Think like a DevOps engineer by trusting automation over humans for scalable systems.

Description

Modern software teams don’t just hire developers — they hire developers who understand DevOps.

If you are a software developer who wants to move faster in your career, work on production systems, and confidently apply for DevOps Engineer roles, this course is built for you.

This course teaches Full Stack DevOps for Software Developers, focusing on CI/CD pipelines, Docker, Kubernetes, and cloud DevOps using AWS DevOps, Azure DevOps, and GCP.

You’ll start by understanding why manual builds and deployments fail, then move step-by-step into automated CI/CD pipelines that real DevOps teams use in production. Every concept is taught with a developer-first mindset, not theoretical DevOps jargon.

What makes this course different?

You’ll learn DevOps as a developer, not as an ops-only engineer

You’ll build real DevOps projects, not toy demos

You’ll understand how companies actually use CI/CD in production

You’ll gain skills relevant to AWS DevOps, Azure DevOps CI/CD pipelines, and GCP

What you will work with

CI/CD fundamentals and advanced pipelines

Github actions and pipeline-as-code

Azure DevOps CI/CD pipelines

AWS DevOps workflows

Docker image creation and versioning

Kubernetes deployments and environments

DevOps best practices used by real teams

Career-focused outcome

By the end of this course, you won’t just “know DevOps tools”.

You’ll be able to:

Design and explain end-to-end CI/CD pipelines

Confidently deploy applications using Docker and Kubernetes

Work with AWS DevOps, Azure DevOps, and GCP environments

Think and operate like a DevOps Engineer

This course is ideal if your goal is to:

Move from developer to DevOps engineer

Strengthen your profile for DevOps interviews

Work on real-world DevOps projects

Build production-ready CI/CD pipelines

Who this course is for:

• Software Developers who want to transition into DevOps engineer roles by mastering CI/CD, Docker, Kubernetes, and cloud DevOps workflows.
• Backend & Full-Stack Developers aiming to accelerate their careers using real-world DevOps projects with AWS DevOps, Azure DevOps, and Jenkins.
• Early-Career DevOps Engineers who want to strengthen CI/CD pipelines, automation, and production deployment skills used in real teams.