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

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