Azure Kubernetes Service (AKS)
Container technologies are reshaping how software is built, delivered, and run at scale. Azure Kubernetes Service (AKS) provides a managed environment that simplifies operating containerized workloads and enables scalable architectures in the Microsoft cloud. This training covers how to configure, monitor, and secure AKS environments effectively.
Key topics
- Setting up and configuring Kubernetes clusters on Azure
- Managing and optimizing AKS workloads day to day
- Structuring deployment workflows for containerized services
- Building CI/CD pipelines and automating delivery processes
- Observing system health, analyzing logs, and resolving incidents
- Understanding network architecture and service-mesh communication
- Implementing RBAC, network policies, and access control
- Configuring load balancing, auto-scaling, and high availability
Prerequisite
Familiarity with Linux and a foundational understanding of cloud infrastructure are expected.
Target group
Professionals working in cloud projects who want to take ownership of or extend Kubernetes environments on Azure.
Mastering AKS allows teams to provision infrastructure faster, shorten deployment cycles, and apply modern DevOps practices directly within the Azure cloud.
- Container orchestration at a glance
- Kubernetes concepts and components
- Kubernetes architecture in depth
- Deploying and commissioning an Azure AKS cluster
- Working with pods, labels, and selectors effectively
- Configuring replica controllers and replica sets
- Setting up services – ClusterIP, NodePort, and LoadBalancer
- Manually scheduling and placing pods on nodes
- Applying taints and tolerations to control placement
- Monitoring and updating deployments
- Applying rollout strategies and rollback mechanisms
- Passing secrets as plaintext keys
- Mapping configuration using ConfigMaps
- Managing volumes in AKS
- Overview of volume provisioning options
- Provisioning and using persistent volumes
- Defining and binding persistent volume claims
- Configuring and applying storage classes
- Configuring Active Directory authentication for AKS
- Working with roles, cluster roles, and bindings in the RBAC model
- Configuring and using the Cluster Autoscaler
- Setting up and monitoring the Horizontal Pod Autoscaler
- Kubernetes networking concepts at a glance
- Getting to know CNI plugins (Container Network Interface)
- Understanding and configuring pod networking
- Using DNS resolution in Kubernetes
- Defining and applying ingress resources
- Using namespaces for isolation and organization
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
- AKS automates container workload management, scaling, and updates – accelerating releases and ensuring a reliable cloud infrastructure.
- AKS enables flexible, highly available, and cost-optimized application operations directly within the Azure cloud.
- The course covers tools including Kubernetes, Docker, Helm, kubectl, the Azure CLI, and various monitoring solutions.
- AKS distributes and scales containers automatically – handling high load or growing application demand without manual intervention.
- AKS streamlines CI/CD pipelines, minimizes manual intervention, and significantly reduces time to release.
- Cluster misconfigurations, security gaps, and excessive cloud costs can be systematically prevented through solid foundational knowledge.
- AKS is a strong fit for microservice architectures, APIs, web platforms, and scalable business applications in the cloud.
- With well-configured workflows and targeted automation, a production environment can often be up and running in minutes rather than days.