Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Language
English
Rating
Course Overview
Master CI/CD, Docker, Kubernetes, Cloud DevOps, AWS, Azure DevOps, Google GCP with Real projects -SpringBoot Node Python
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
Course Content
- 14 section(s)
- 230 lecture(s)
- Section 1 Course Introduction
- Section 2 Docker for Developers
- Section 3 Kubernetes for Developers
- Section 4 AWS for Developers
- Section 5 Deploying Projects to Kubernetes on AWS
- Section 6 Deploying Full Stack Microservices with Frontend to AWS K8S
- Section 7 Continuous Integration with GitHub Actions
- Section 8 Continuous Deployment for Developers | Deploying to AWS EKS using CI/CD
- Section 9 Deploy Microservices to AWS EKS Using CI/CD | Full Stack DevOps
- Section 10 Infrastructure as Code | Terraform on AWS Cloud to Automate Infrastructure
- Section 11 Google Cloud Platform (GCP) For Developers | Going Multi Cloud | Dev to DevOps
- Section 12 Google Kubernetes Engine (GKE) | Deploying Full Stack Microservices on GCP
- Section 13 Microsoft Azure | Deploying Apps and Full Stack Microservices to Azure
- Section 14 Course Bonus
What You’ll Learn
- 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.
Reviews
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SShivani ravikumar Kale
good
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PPavan Krishna Ganta
Thanks a lot very useful !!
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NNikhil Dogra
Best value to money course I came accross so far in udemy.
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eemmy soln
i love the steppy approach ensuring nothing is left is a good catch for me and i am willing to learn and have better experience on it well. so far my experience learning has been great.
