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DevOps, Agile & Technology Leadership
Cloud-Native Deployment & Infrastructure Automation

Cloud-Native Deployment & Infrastructure Automation

DevOps, Agile & Technology Leadership

Cloud-Native Deployment & Infrastructure Automation

Cloud-Native Deployment & Infrastructure Automation explains how modern applications are packaged, deployed and run at scale. It covers containers, microservices and distributed systems, then orchestration platforms and infrastructure defined as code. Later levels address reliability, observability, security and cost management, helping you run resilient cloud-native environments that grow smoothly with demand.

Levels: 4
Starting from: 300 credits

Choose a level

Each level is unlocked on its own

Level 1 / 4

Beginner

300 credits

What you will study: What cloud-native means, containers and images, building and running a container, registries, microservices versus monoliths and the core challenges of distributed systems. Simple examples package a small application step by step.
Who it is for: For developers and administrators new to cloud-native ideas who want to understand containers and microservices before working with any orchestration platform. No orchestration experience is required.
What you will be able to do: You can build and run containers for a simple application, explain when microservices make sense and describe the main trade-offs of distributed systems. This prepares you to run containers at a larger scale.

Level 2 / 4

Intermediate

500 credits

What you will study: Container orchestration concepts, pods and deployments, services and ingress, configuration and secrets, persistent storage, health checks, resource limits and basic troubleshooting of workloads. Example configurations are explained line by line.
Who it is for: For engineers comfortable with containers who now need to run many of them reliably using an orchestration platform and its core building blocks. It is the step from single containers to whole applications.
What you will be able to do: You can deploy and manage multi-container applications on an orchestration platform, configure networking and storage and diagnose common problems with running workloads. Your applications will restart, scale and recover more reliably.

Level 3 / 4

Advanced

800 credits

What you will study: Infrastructure as code tools and modules, state management, automated provisioning, GitOps workflows, templating deployments, policy checks and progressive deployment strategies for cloud-native services. Each approach is compared by safety, speed and ease of review.
Who it is for: For platform and operations engineers who want every environment created automatically from code and every deployment driven by a reviewed, version-controlled change. It replaces manual setup with fully automated environments.
What you will be able to do: You can provision complete environments from code, manage deployments through GitOps and apply policy checks that keep infrastructure changes safe and consistent. Environments will be consistent, reviewable and easy to rebuild.

Level 4 / 4

Expert

1,100 credits

What you will study: Site reliability engineering, service level objectives, observability with metrics, logs and traces, autoscaling, cost management, platform security, multi-cluster design and internal developer platforms. Examples show how reliability targets guide daily engineering choices.
Who it is for: For senior engineers and platform leads who own large cloud-native platforms and must keep them reliable, secure and cost-effective as demand changes. It suits people running platforms that many teams depend on.
What you will be able to do: You can set reliability targets, build strong observability, scale platforms efficiently and secure a complex cloud-native environment used by many teams. Your platform will stay dependable as demand rises and falls.

Levels are paid for with credits. Access details are emailed to you, typically within 24 hours, and if nothing arrives after 72 hours, please contact us.

About This Learning Material

Cloud-Native Deployment & Infrastructure Automation is for engineers who want to move beyond manual server setup and build environments that are repeatable, observable and easy to scale. The explanations connect each tool to the problem it solves, so decisions make sense rather than feeling like a list of commands.

The Beginner level introduces containers, images, microservices and the fundamentals of distributed systems. Intermediate covers container orchestration, service networking, configuration and secrets management. Advanced focuses on infrastructure as code, automated provisioning, GitOps workflows and deployment strategies. Expert looks at reliability engineering, observability, autoscaling, cost control and securing the whole platform, so that complex cloud-native systems stay dependable under changing demand.