Udemy – Docker & Kubernetes for DevOps Engineers 2025-7

Udemy – Docker & Kubernetes for DevOps Engineers 2025-7 Downloadly IRSpace

Aug 17, 2025 - 02:42 Updated: Aug 19, 2025 - 14:37

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Udemy – Docker & Kubernetes for DevOps Engineers 2025-7

Docker & Kubernetes for DevOps Engineers, Unlock the power of containers and orchestration with this comprehensive hands-on course in Docker, Kubernetes, and Azure Kubernetes Service (AKS). Whether you’re a developer, DevOps engineer, or cloud enthusiast, this course will guide you step-by-step from the fundamentals of containerization to deploying real-world, scalable applications in a production-grade Kubernetes cluster with best practices. You’ll begin by mastering Docker, understanding how to build, manage, and optimize containers efficiently for different environments. Then, you’ll dive deep into Kubernetes, learning how to orchestrate workloads using core concepts like Pods, Deployments, Services, ReplicaSets, Volumes, and more, while also exploring advanced networking and security features. By the end of the course, you’ll be able to confidently build, deploy, scale, and manage containerized applications preparing you for demanding DevOps roles, cloud migrations, and production deployments across various industries.

What you’ll learn

Understand and Use Docker Effectively
Master Kubernetes
Implement Real-World Cluster Resource Management
Build and Deploy Production-Ready Infrastructure

Who this course is for

DevOps Engineers, System Administrators, and Cloud Engineers who want to gain hands-on experience with Docker and Kubernetes to manage containerized workloads in real-world environments.
Software Developers who are building microservices or cloud-native applications and want to understand how to package, deploy, and scale them using containers and orchestration tools.
IT Professionals and Tech Enthusiasts looking to transition into roles involving DevOps, Cloud Infrastructure, or Site Reliability Engineering (SRE).
Students or Beginners with a basic understanding of command line tools who are eager to learn how modern infrastructure and container platforms work in production.