1.1 How Container Technology Evolved
1.2 The Core Technologies Behind Containers
2.1 How Container Images Work
2.2 Working with Image Repositories
3.1 The Container Lifecycle in Practice
3.2 Setting Resource Quotas
3.3 Isolating Container Resources
4.1 Container Networking Models
4.2 How Containers Communicate
5.1 Core Kubernetes Concepts
5.2 Inside the Kubernetes Architecture
6.1 Understanding Kubernetes Pods
6.2 Scheduling Resources in Kubernetes
6.3 Managing Kubernetes Workloads
7.1 Introducing Kubernetes Services
7.2 Service Discovery in Kubernetes
8.1 Microservices: Definition and Evolution
8.2 Building CI/CD Pipelines
8.3 Integrating AI/ML Workloads
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Container technologies like Docker and Kubernetes have become the building blocks of modern cloud- native architecture, and they are now used across industries from internet and finance to healthcare. They matter just as much to a startup that needs to iterate and ship quickly as to a large enterprise working through a digital transformation. To make that shift smoothly, IT teams need the right culture, processes and toolchain in place. This course builds a solid grounding in container technology, beginning with the technical principles
behind Docker. From there it moves into how containers are orchestrated and managed, with Kubernetes at the center covering cluster architecture, workloads, service discovery, and how container clusters support AI model training. Along the way, learners see both the benefits and the trade-offs of going container-native, so they can judge where it fits and speak the same language as their technical teams.
This course is designed for Allengineers managers either technical or non technical
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