Kubernetes on Azure (AKS) Training Course
Azure Kubernetes Service (AKS) is a hosted Kubernetes service that simplifies the deployment and management of a Kubernetes cluster in Azure.
In this instructor-led, live training (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.
By the end of this training, participants will be able to:
- Configure and manage Kubernetes on AKS.
- Deploy, manage and scale a Kubernetes cluster.
- Deploy containerized (Docker) applications on Azure.
- Migrate an existing Kubernetes environment from on-premise to AKS cloud.
- Integrate Kubernetes with third-party continuous integration (CI) software.
- Ensure high availability and disaster recovery in Kubernetes.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction
- Kubernetes deployment: Azure vs AWS vs on-premise
Overview of Azure Kubernetes Service (AKS) Features and Support
Using the Azure Portal and the Azure CLI (Command Line Interface)
Creating and Uploading a Container Image to the Azure Container Registry
Building A Kubernetes Cluster
Networking Kubernetes Pods
Integrating Kubernetes with Continuous Integration (CI) Tools and Processes
Updating an Application Running in Kubernetes
Integrating Kubernetes with Active Directory
Identity and Security Management in AKS
Advanced Networking
Monitoring a Kubernetes Cluster
Scaling a Kubernetes Cluster
Migrating from On-premise to Azure
Ensuring High Availability and Disaster Recovery in Kubernetes
Troubleshooting
Summary and Conclusion
Requirements
- An understanding of containers (e.g., Docker) and Kubernetes basics
- Experience with the Linux command line
Audience
- Developers
- System Administrators
- DevOps Engineers
Open Training Courses require 5+ participants.
Kubernetes on Azure (AKS) Training Course - Booking
Kubernetes on Azure (AKS) Training Course - Enquiry
Kubernetes on Azure (AKS) - Consultancy Enquiry
Consultancy Enquiry
Testimonials (7)
Openness and the extensive knowledge of the instructor—though I won't hide that this further motivated me to delve into the subject.
Gabriel Polak - Sii Sp. z o.o.
Course - Kubernetes on Azure (AKS)
Machine Translated
It was really useful seeing the full pipeline from start to finish, it led to a better understanding of how to use the technology which you wouldn't get by just focusing on a few different parts out of context.
Scott Fisher - Derivco
Course - Kubernetes on Azure (AKS)
Gave some good insight into kubernetes
Adam Braidwood - Derivco
Course - Kubernetes on Azure (AKS)
Dawid is a really good at what he does, he makes something very complicated seem like a stroll in the park.
Dirk Nagel - Derivco IOM
Course - Kubernetes on Azure (AKS)
The hand-on part was really good. I would just give students a headsup to have 2 screens (as I started with a laptop only) - as you have to follow and do it yourself.
Theresa Conradie
Course - Kubernetes on Azure (AKS)
The the virtual machines with Visual Studio and the provided Azure tenant usernames/passwords that were already setup for us made for a very engaging process. Training is so much more better when you can follow along using the actual systems you are being trained on. Dawid was extremely knowledgeable and clearly knew the subject inside out.
Steven Martin
Course - Kubernetes on Azure (AKS)
The exercises and materials related to the developing for ASF were abundant and a good example for real life situations.
Diego Alonso San Alberto - Unit4 Business Software Holding B.V.
Course - Kubernetes on Azure (AKS)
Provisional Courses
Related Courses
MS-20487: Developing Microsoft Azure and Web Services (authorized training course)
35 HoursAbout This Course
In this course, students will learn how to design and develop services that access local and remote data from various sources. Students will also learn how to develop and deploy services to hybrid environments, including on-premises servers and Microsoft Azure.
Audience Profile
Primary: .NET developers who want to learn how to develop services and deploy them to hybrid environments.
Secondary: .NET developers with Web application development experience who are exploring developing new applications or porting existing applications to Microsoft Azure.
At Course Completion
After completing this course, students will be able to:
- Describe the basic concepts of service development and data access strategies using the .NET platform.
- Describe the Microsoft Azure cloud platform and its compute, data, and application hosting offerings.
- Design and develop a data-centric application using Visual Studio 2017 and Entity Framework Core.
- Design, implement, and consume HTTP services using ASP.NET Core.
- Extend HTTP services using ASP.NET Core.
- Host services on-premises and in Microsoft Azure.
- Deploy services to both on-premises and cloud environments and manage the interface and policy for their services.
- Choose a data storage solution, cache, distribute, and synchronize data.
- Monitor, log, and troubleshoot services.
- Describe claim-based identity concepts and standards, and implement authentication and authorization with Azure Active Directory.
- Create scalable service applications.
Designing and Implementing an Azure AI Solution (authorized training course AI 100T01)
21 HoursGain the necessary knowledge for designing Azure AI solution by building a customer support chat Bot using artificial intelligence from the Microsoft Azure platform including language understanding and pre-built AI functionality in the Azure Cognitive Services.
AI-102T00: Designing and Implementing a Microsoft Azure AI Solution
28 HoursAI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.
Audience Profile
Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.
Microsoft Azure AI Fundamentals (authorized training course AI 900T00)
7 HoursAbout This Course
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
Audience Profile
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.
At Course Completion
After completing this course, you will be able to:
- Describe Artificial Intelligence workloads and considerations
- Describe fundamental principles of machine learning on Azure
- Describe features of computer vision workloads on Azure
- Describe features of Natural Language Processing (NLP) workloads on Azure
- Describe features of conversational AI workloads on Azure
Building AI Cloud Apps with Microsoft Azure
35 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to build and deploy AI-powered cloud applications using Microsoft Azure.
By the end of this training, participants will be able to:
- Develop event-driven and serverless applications using Azure Functions.
- Manage Azure storage solutions and virtual machines.
- Deploy and scale web applications using Azure App Service and Docker containers.
- Integrate AI, machine learning, and natural language processing using Azure AI Services.
- Leverage GitHub Copilot to assist in AI-driven cloud application development.
Azure Machine Learning (AML)
21 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at engineers who wish to use Azure ML's drag-and-drop platform to deploy Machine Learning workloads without having to purchase software and hardware and without having to worry about maintenance and deployment.
By the end of this training, participants will be able to:
- Write highly-accurate machine learning models using Python, R, or zero-code tools.
- Leverage Azure's available data sets and algorithms to train and track machine learning and deep-learning models.
- Use Azures interactive workspace to collaboratively develop ML models.
- Choose from different Azure-supported ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
Azure Administration for AWS SysOps (authorized training course AZ 010T00)
14 HoursAbout This Course
This two-day course is designed for AWS Sysops administrators interested in learning how Azure is different from AWS, and how Azure is administered. The workshops main topics are Azure Administration, Azure Networking, Azure Compute, Azure Storage, and Azure Governance. This workshop combines lecture with hands-on practical exercises and discussion/review. During the workshop students will build an end-to-end architecture that demonstrates the main features discussed in the course.
Audience Profile
The audience for this course is an AWS Sysops Administrator Associate or equivalent. This person has one to two years of experience in AWS deployment, management, and operations. Students taking this course are interested in learning how Azure is different from AWS, and how Azure is administered. Students may also be interested in taking the AZ-103 Microsoft Azure Administrator certification exam, or the AZ-900 Azure Fundamentals exam.
AZ-020: Microsoft Azure solutions for AWS developers (authorized training course)
21 HoursAbout This Course
A three-day course designed to teach AWS (Amazon Web Services) developers how to prepare end-to-end solutions in Microsoft Azure. In this course you will construct Azure App Service Web App solutions and Azure Functions, use blob or Cosmos DB storage in solutions, implement secure cloud solutions that include user authentication and authorization, implement API management, and develop event- and message-based solutions, and monitor, troubleshoot, and optimize your Azure solutions. You will learn how developers use Azure services, with additional focus on features and tasks that differ from AWS, and what that means for you as you develop applications that will be hosted by using Azure services.
Audience Profile
Students in this course are experienced AWS developers interested in Azure development.
AZ-040T00: Automating Administration with PowerShell
35 HoursThis course provides students with the fundamental knowledge and skills to use PowerShell for administering and automating administration of Windows servers. This course provides students the skills to identify and build the command they require to perform a specific task. In addition, students learn how to build scripts to accomplish advanced tasks such as automating repetitive tasks and generating reports. This course provides prerequisite skills supporting a broad range of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. In keeping with that goal, this course will not focus on any one of those products, although Windows Server, which is the common platform for all of those products, will serve as the example for the techniques this course teaches.
AZ-104T00-A: Microsoft Azure Administrator
28 HoursThis course teaches IT Professionals how to manage their Azure subscriptions, secure identities, administer the infrastructure, configure virtual networking, connect Azure and on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, implement web apps and containers, back up and share data, and monitor your solution.
This course is for Azure Administrators. The Azure Administrator implements manages and monitors identity, governance, storage, compute, and virtual networks in a cloud environment. The Azure Administrator will provision, size, monitor, and adjust resources as appropriate.
AZ-140T00: Configuring and Operating Microsoft Azure Virtual Desktop
28 HoursThis course teaches Azure administrators how to plan, deliver, and manage virtual desktop experiences and remote apps, for any device, on Azure. Students will learn through a mix of demonstrations and hands-on lab experiences deploying virtual desktop experiences and apps on Azure Virtual Desktop and optimizing them to run in multi-session virtual environments.
Building Microservices with Microsoft Azure Service Fabric (ASF)
21 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at developers who wish to learn how to build microservices on Microsoft Azure Service Fabric (ASF).
By the end of this training, participants will be able to:
- Use ASF as a platform for building and managing microservices.
- Understand key microservices programming concepts and models.
- Create a cluster in Azure.
- Deploy microservices on premises or in the cloud.
- Debug and troubleshoot a live microservice application.
Deploying Kubernetes Applications with Helm
7 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications.
By the end of this training, participants will be able to:
- Install and configure Helm.
- Create reproducible builds of Kubernetes applications.
- Share applications as Helm charts.
- Run third-party applications saved as Helm charts.
- Manage releases of Helm packages.
Introduction to Minikube and Kubernetes
21 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at beginner-level to intermediate-level software developers and DevOps professionals who wish to learn how to set up and manage a local Kubernetes environment using Minikube.
By the end of this training, participants will be able to:
- Install and configure Minikube on their local machine.
- Understand the basic concepts and architecture of Kubernetes.
- Deploy and manage containers using kubectl and the Minikube dashboard.
- Set up persistent storage and networking solutions for Kubernetes.
- Utilize Minikube for developing, testing, and debugging applications.
Minikube for Developers
14 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to use Minikube as a part of their development workflow.
By the end of this training, participants will be able to:
- Set up and manage a local Kubernetes environment using Minikube.
- Understand how to deploy, manage, and debug applications on Minikube.
- Integrate Minikube into their continuous integration and deployment pipelines.
- Optimize their development process using Minikube's advanced features.
- Apply best practices for local Kubernetes development.