Full Stack AI DevOps for Developers | AWS, Azure, GCP, K8S
>_ 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.
>_ Requirements
- Knowledge of Programming and Internet Connection
/ Course Details & Curriculum
- 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
- 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
- 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
- Move from developer to DevOps engineer
- Strengthen your profile for DevOps interviews
- Work on real-world DevOps projects
- Build production-ready CI/CD pipelines
Author and Instructor
Faisal Memon (EmbarkX), EmbarkX Official
Expert at Udemy
With years of hands-on experience in Development, Faisal Memon (EmbarkX), EmbarkX Official has dedicated thousands of hours to teaching and mentorship. This course is the culmination of industry best practices and a proven curriculum that has helped thousands of students transition into professional roles.
Community Feedback
Michael Chen
Verified Enrollment
"This Full Stack AI DevOps for Developers | AWS, Azure, GCP, K8S course was exactly what I needed. The instructor explains complex Development concepts clearly. Highly recommended!"
Sarah Johnson
Verified Enrollment
"I've taken many Udemy courses on full-stack web development, but this one stands out. The practical examples helped me land a job."
David Smith
Verified Enrollment
"Great value for money. The section on DevOps was particularly helpful."
Emily Davis
Verified Enrollment
"Excellent structure and pacing. I went from zero to hero in Development thanks to this course. Lifetime access is a huge plus."
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