Advanced Azure Kubernetes Service Course Overview

Advanced Azure Kubernetes Service Course Overview

Unlock the potential of Microsoft Azure Kubernetes Service (AKS) with the comprehensive Advanced AKS course from Koenig Solutions. This 25-hour program is designed to equip IT professionals with in-depth knowledge and practical skills in AKS architecture, advanced networking, security best practices, monitoring and logging, scaling and performance tuning, and more. By the end of the course, you will gain proficiency in setting up CI/CD pipelines, high availability, disaster recovery, and leveraging service mesh implementations like Istio and Linkerd. Real-world hands-on labs ensure that you can apply these concepts immediately in your job role, enhancing both your expertise and career prospects.

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1,150 (USD)
  • Live Training (Duration : 24 Hours)
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  • Live Training (Duration : 24 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Prerequisites for Advanced AKS Course

To ensure a successful learning experience in our Advanced AKS course, students should have the following foundational knowledge and skills:


  • Basic Understanding of Kubernetes: Familiarity with Kubernetes core concepts, including pods, services, and deployments.
  • Experience with Azure: Basic knowledge of Azure, including Azure Resource Manager, Azure CLI, and Azure portal navigation.
  • Networking Fundamentals: Understanding of basic networking concepts, such as IP addressing, DNS, load balancing, and firewalls.
  • Containerization Knowledge: Experience with containerization technologies like Docker, including building, managing, and deploying Docker containers.
  • Basic Scripting Skills: Familiarity with scripting languages like PowerShell, Bash, or equivalent for automation tasks.
  • Prior Experience with AKS: Experience in deploying and managing basic workloads on Azure Kubernetes Service (AKS) is beneficial but not mandatory.

By meeting these prerequisites, learners will be well-prepared to grasp the advanced topics covered in the course and will be able to apply their skills effectively in real-world scenarios.


Target Audience for Advanced AKS

  1. Introduction and Target Audience


    The Advanced AKS course equips IT professionals with in-depth knowledge of deploying, managing, and scaling Azure Kubernetes Service (AKS) clusters, ideal for roles focusing on cloud infrastructure and DevOps.


  2. Job Roles and Audience:


    • DevOps Engineers
    • Cloud Architects
    • Kubernetes Administrators
    • IT Infrastructure Managers
    • Cloud Solution Architects
    • Site Reliability Engineers (SREs)
    • Platform Engineers
    • Technical Leads
    • Security Engineers specializing in cloud environments
    • Software Development Engineers in Test (SDET)
    • System Administrators transitioning to Kubernetes
    • IT Consultants specializing in Azure services
    • Technology Managers managing scalable cloud solutions


Learning Objectives - What you will Learn in this Advanced AKS?

1. The Advanced AKS course at Koenig Solutions offers an in-depth understanding of AKS architecture and advanced features, including Kubernetes networking, security, monitoring, scaling, CI/CD integration, disaster recovery, and Helm usage.

2. Learning Objectives and Outcomes:

  • AKS Components and Architecture: Understand the essential components and architecture of AKS, including control plane and node pools.
  • Advanced Networking: Configure and manage advanced networking options like Azure CNI and Kubernetes network policies, and deploy service meshes such as Istio or Linkerd.
  • Security Practices: Implement security best practices for AKS clusters, including integrating Azure AD for authentication, and securing applications with pod security policies and network policies.
  • Monitoring and Logging: Set up robust monitoring and logging using Azure Monitor, Azure Log Analytics, Prometheus, and Grafana, and troubleshoot common issues with logs and metrics.
  • Scaling and Performance Tuning: Master techniques for horizontal and vertical pod autoscaling, cluster autoscaling, performance tuning, and efficient management of node pools.
  • CI/CD Pipeline Integration: Integrate AKS with Azure DevOps or GitHub Actions to establish continuous deployment pipelines with Kubernetes manifests, Helm charts, or Kustomize.

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