Full Stack AI DevOps + Real Projects | AWS, Azure, GCP, K8S

Descripción

Covers Full Stack AI DevOps + Real Projects For Spring Boot, Node JS, Python. 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

Lo que aprenderás

• BECOME AI POWERED DEVOPS ENGINEER: Transition from developer to DevOps engineer by mastering AI, CI/CD pipelines, automation, and production-grade 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.

Requisitos

• Knowledge of Programming and Internet Connection