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🔥 Full Stack AI DevOps Course LAUNCHED 🚀 | Docker, Kubernetes, AWS, Azure, GCP

3.5K views· 122 likes· 13:19· Jan 12, 2026

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About This Video

In this video, I’m announcing something I’ve been working on for the past few months: my new Udemy course — Full Stack (AI-assisted) DevOps for Developers, and yes, it’s a multi-cloud course for AWS, Azure, and GCP. I’ve been sharing updates about it in my previous videos, posts, and on Telegram, and now it’s finally live. I’ve also added a limited-time launch discount coupon in the description, so if you want the lowest price, check that out. I built this course because DevOps is no longer optional. A lot of companies don’t even have a dedicated DevOps team, and they expect developers to handle Docker, Kubernetes, deployments, and CI/CD. Even if your company has a DevOps team, you still need DevOps knowledge so you can communicate properly and understand the end-to-end software lifecycle. The big gap I saw in the market was: you’ll find cloud courses, but not a full-stack DevOps course that’s truly designed for developers and also covers multiple clouds. This is a hands-on course (minimal theory), just like my other courses. We start with a simple monolith app and then move to a full-stack microservices architecture. I’m covering real deployments, containerization, local Kubernetes, and Kubernetes in the cloud. Phase 1 is already live (~20 hours) covering Docker, Kubernetes, microservices, and AWS. Next, I’ll add CI/CD + Terraform in Phase 2, and then Azure + GCP in the upcoming months.

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