Description

Full Stack AI DevOps + Real Projects | AWS, Azure, GCP, K8S is a course on how to design, build, deploy, and operate full-stack AI applications published by Udemy Online Academy. You’ll learn how to integrate AI models into scalable backend services, create responsive front-end interfaces, and manage application state, deployments, and infrastructure across multiple cloud providers. The course covers essential DevOps practices including containerization with Docker, orchestration with Kubernetes, CI/CD automation, infrastructure as code, monitoring, logging, and performance optimization to ensure systems are reliable and scalable.

If you’re a software developer looking to advance your career faster, work on production systems, and confidently apply for DevOps engineer roles, this course is 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. Backend and full-stack developers who want to accelerate their careers by using real-world DevOps projects with AWS DevOps, Azure DevOps, and Jenkins. Novice DevOps engineers who want to hone their CI/CD pipeline, automation, and production deployment skills used in real-world teams.

What you will learn in Full Stack AI DevOps + Real Projects | AWS, Azure, GCP, K8S:

• Become a DEVOPS Engineer: Go from developer to DevOps engineer by mastering CI/CD pipelines, automation, and production-level DevOps workflows.
• Accelerate your DEVOPS career: Build real-world DevOps skills using AWS DevOps, Azure DevOps, Jenkins, Docker, and Kubernetes.
• Manage your 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 that are reliable in real production environments.
• Build real-world DEVOPS projects: Implement practical DevOps projects using Docker, Kubernetes, AWS, and Azure DevOps pipelines.
• And…

Course specifications

• Publisher : Udemy
• Teacher : Faisal Memon (EmbarkX) , EmbarkX Official
• Language: English
• Level : All Levels
• Lectures : 230
• Duration : 39 hours and 58 minutes

Course topics

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

Knowledge of Programming and Internet Connection

Pictures

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

Installation guide

After Extract, watch with your favorite Player.

Subtitle: English

Quality: 1080p

Changes:

Version 2026/2 compared to 2026/1 has increased by 88 lessons and 15 hours and 7 minutes in duration. English subtitles were also added to the course.

The 2026/4 version has increased the number of lessons by 25 and the duration increased by 4 hours 42 minutes compared to 2026/2.

Download link

Download Part 1 – 4 GB

Download Part 2 – 4 GB

Download Part 3 – 4 GB

Download Part 4 – 4 GB

Download Part 5 – 4 GB

Download Part 6 – 4 GB

Download Part 7 – 4 GB

Download Part 8 – 4 GB

Download Part 9 – 1021 MB

File password (s): www.downloadly.ir

Size

32.99 GB