Introduction to Microsoft Azure and Azure Kubernetes Service Training Course

About This Course

This course teaches students how to design and build services that retrieve local and remote data from a variety of sources. Participants will also learn how to develop and deploy these services within hybrid environments, encompassing both on-premises servers and Microsoft Azure.

Audience Profile

Primary: .NET developers aiming to learn how to develop services and deploy them to hybrid environments.
Secondary: .NET developers with experience in Web application development who are interested in creating new applications or migrating existing ones to Microsoft Azure.

At Course Completion

Upon finishing this course, students will be able to:

• Explain the fundamental concepts of service development and data access strategies using the .NET platform.
• Describe the Microsoft Azure cloud platform along with its compute, data, and application hosting capabilities.
• Design and develop data-centric applications 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 both on-premises and in Microsoft Azure.
• Deploy services to on-premises and cloud environments, managing their interfaces and policies.
• Select appropriate data storage solutions, cache, distribute, and synchronize data.
• Monitor, log, and troubleshoot services.
• Explain claim-based identity concepts and standards, and implement authentication and authorization with Azure Active Directory.
• Create scalable service applications.

Acquire the essential expertise required to design Azure AI solutions. You will gain hands-on experience building a customer support chatbot powered by artificial intelligence via the Microsoft Azure platform, leveraging language understanding capabilities and pre-built AI features within Azure Cognitive Services.

About This Course

This course provides an introduction to the core concepts of artificial intelligence (AI) and the Microsoft Azure services available for building AI solutions. Rather than aiming to train students to become professional data scientists or software developers, the course focuses on raising awareness of common AI workloads and helping participants identify the appropriate Azure services to support those workloads. Designed as a blended learning experience, it combines instructor-led training with online materials hosted on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises are aligned with Learn modules, and students are encouraged to use the Learn platform as a reference to reinforce classroom learning and explore topics in greater depth.

Audience Profile

The Azure AI Fundamentals course is designed for individuals interested in understanding the types of solutions made possible by artificial intelligence (AI) and the Microsoft Azure services available to create them. No prior experience with Microsoft Azure is required, though a basic familiarity with computer technology and the Internet is assumed. Some concepts covered require a fundamental understanding of mathematics, particularly the ability to interpret charts. Additionally, the course includes hands-on activities involving data manipulation and code execution, so knowledge of basic programming principles will be beneficial.

At Course Completion

After completing this course, you will be able to:

• Describe AI workloads and their associated considerations
• Explain fundamental principles of machine learning on Azure
• Outline the features of computer vision workloads on Azure
• Outline the features of Natural Language Processing (NLP) workloads on Azure
• Outline the features of conversational AI workloads on Azure

This instructor-led, live training in Serbia (available online or onsite) is designed for intermediate to advanced professionals who wish to construct and deploy AI-powered cloud applications using Microsoft Azure.

By the conclusion of this training, participants will be able to:

• Create 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 via Azure AI Services.
• Leverage GitHub Copilot to aid in AI-driven cloud application development.

This instructor-led, live training in Serbia (online or onsite) is designed for engineers who want to use Azure ML's drag-and-drop platform to deploy machine learning workloads. This allows them to operate without the need to purchase software and hardware, and without worrying about maintenance and deployment.

Upon completion of this training, participants will be capable of:

• Developing highly accurate machine learning models using Python, R, or zero-code tools.
• Utilizing Azure's available data sets and algorithms to train and monitor machine learning and deep learning models.
• Leveraging Azure's interactive workspace to collaboratively develop machine learning models.
• Selecting from various Azure-supported ML frameworks, including PyTorch, TensorFlow, and scikit-learn.

About This Course

This three-day course is designed to equip AWS (Amazon Web Services) developers with the skills needed to build comprehensive end-to-end solutions in Microsoft Azure. Throughout the course, you will create Azure App Service Web Apps and Azure Functions, utilize blob storage and Cosmos DB within your solutions, implement secure cloud architectures involving user authentication and authorization, manage APIs, and develop event-driven and message-based solutions. Additionally, you will learn how to monitor, troubleshoot, and optimize your Azure environments. The curriculum highlights how developers leverage Azure services, with special attention to features and tasks that differ from AWS, helping you understand the implications for your application development when hosting on Azure.

Audience Profile

This course is intended for experienced AWS developers who are looking to transition into Azure development.

This course equips students with the essential knowledge and skills needed to utilize PowerShell for administering and automating the management of Windows servers. Learners will develop the ability to identify and construct the specific commands required to execute particular tasks. Furthermore, students will learn how to write scripts to handle advanced operations, such as automating repetitive processes and generating reports. The course provides prerequisite skills that support a wide array of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. Consistent with this objective, the course does not focus on any single product; however, Windows Server, being the common platform for all these technologies, serves as the primary example for teaching these techniques.

This course equips IT professionals with the skills to manage Azure subscriptions, secure identities, administer infrastructure, configure virtual networking, integrate Azure with on-premises environments, manage network traffic, implement storage solutions, deploy and scale virtual machines, create web applications and containers, back up and share data, and monitor solutions.

Designed for Azure Administrators, this training covers the implementation, management, and monitoring of identity, governance, storage, compute, and virtual networks in cloud environments. Participants will learn to provision, size, monitor, and adjust resources effectively.

This course equips Azure administrators with the skills to plan, deliver, and manage virtual desktop experiences and remote applications for any device on Azure. Through a combination of demonstrations and hands-on lab exercises, students will learn to deploy and optimize virtual desktop experiences and applications on Azure Virtual Desktop within multi-session virtual environments.

About This Course

This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.

Audience Profile

• Students in this course are interested in Azure development or in passing the Microsoft Azure Developer Associate certification exam.

This program equips Solutions Architects with the skills to translate business requirements into secure, scalable, and reliable solutions. Key topics include virtualization, automation, networking, storage, identity, security, data platforms, and application infrastructure. The course highlights how decisions in each of these areas influence the overall solution architecture.

Audience profile

This course is designed for IT Professionals who specialize in designing and implementing solutions on Microsoft Azure. Participants should possess broad IT operations knowledge, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, budgeting, and governance. Azure Solution Architects utilize the Azure Portal and, as proficiency increases, the Command Line Interface. Candidates must demonstrate expert-level skills in Azure administration and have experience with Azure development and DevOps processes.

DO180 serves as a practical introduction to containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, emphasizing hands-on skill development.

This live, instructor-led training, available online or onsite, targets beginner to intermediate technical professionals seeking to master container workflows, understand Kubernetes primitives, and learn how to deploy and operate applications on OpenShift.

Upon completing this training, participants will be able to:

• Build and manage container images and registries, adhering to best practices for security and reproducibility.
• Deploy and manage Kubernetes objects, such as pods, deployments, and services, within an OpenShift environment.
• Leverage OpenShift features like routes, buildconfigs, and the web console to streamline application delivery.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply fundamental security measures, RBAC policies, and monitoring practices to maintain healthy clusters and applications.

Format of the Course

• Interactive lectures and discussions.
• Daily hands-on labs conducted in a live OpenShift environment.
• Scenario-driven exercises and troubleshooting workshops.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led, live training in Serbia (online or onsite) is designed for engineers looking to utilize Helm to simplify the installation and management of Kubernetes applications.

Upon completion of this training, participants will be able to:

• Install and configure Helm.
• Build reproducible Kubernetes application deployments.
• Distribute applications as Helm charts.
• Execute third-party applications packaged as Helm charts.
• Manage releases of Helm packages.

This instructor-led, live training in Serbia (online or onsite) targets beginner to intermediate software developers and DevOps professionals who want 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.
• Grasp the fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Configure persistent storage and networking solutions for Kubernetes.
• Leverage Minikube for application development, testing, and debugging.

This instructor-led, live training in Serbia (online or onsite) is designed for intermediate-level developers and DevOps engineers who aim to use Minikube as 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.