Architecting Microsoft Azure Solutions Training Course

About This Course

In this course, students will gain knowledge on designing and developing services that access local and remote data from multiple sources. They will also learn how to develop and deploy these services to hybrid environments, which include both on-premises servers and Microsoft Azure.

Audience Profile

Primary: .NET developers interested in learning how to develop and deploy services to hybrid environments.
Secondary: .NET developers with experience in web application development who are looking into creating new applications or migrating existing ones to Microsoft Azure.

At Course Completion

After completing this course, students will be able to:

• Explain the fundamental concepts of service development and data access strategies using the .NET platform.
• Understand the Microsoft Azure cloud platform and its offerings in compute, data, and application hosting.
• Create a data-centric application using Visual Studio 2017 and Entity Framework Core.
• Design, implement, and consume HTTP services with ASP.NET Core.
• Enhance HTTP services using ASP.NET Core.
• Host services both on-premises and in Microsoft Azure.
• Deploy services to both on-premises and cloud environments and manage the interface and policy for their services.
• Select a data storage solution, cache, distribute, and synchronize data effectively.
• Monitor, log, and troubleshoot services efficiently.
• Understand claim-based identity concepts and standards, and implement authentication and authorization using Azure Active Directory.
• Build scalable service applications.

Acquire the essential skills for designing Azure AI solutions by creating a customer support chatbot that leverages artificial intelligence from the Microsoft Azure platform. This includes utilizing language understanding and pre-built AI capabilities provided by Azure Cognitive Services.

About This Course

This course provides an introduction to the fundamental concepts of artificial intelligence (AI) and explores the Microsoft Azure services that can be utilized to create AI solutions. The aim is not to train students to become professional data scientists or software developers but to enhance their awareness of common AI applications and the ability to identify appropriate Azure services to support these tasks. The course combines instructor-led sessions with online resources from the Microsoft Learn platform (https://azure.com/learn). Practical exercises in the course are based on modules from Learn, and students are encouraged to use this content as reference material to reinforce their learning and delve deeper into specific topics.

Audience Profile

The Azure AI Fundamentals course is intended for anyone interested in understanding the types of solutions that artificial intelligence (AI) can enable and the services available on Microsoft Azure to create these solutions. No prior experience with Microsoft Azure is required, but a basic familiarity with computer technology and the Internet is assumed. Some concepts covered in the course require a fundamental grasp of mathematics, such as interpreting charts. The course includes hands-on activities involving data manipulation and running code, so a foundational understanding of programming principles will be beneficial.

At Course Completion

Upon completing this course, you will be able to:

• Explain the workloads and considerations involved in artificial intelligence.
• Outline the fundamental principles of machine learning on Azure.
• Describe the features of computer vision tasks on Azure.
• Discuss the capabilities of Natural Language Processing (NLP) workloads on Azure.
• Explain the features of conversational AI tasks on Azure.

This instructor-led, live training in Serbia (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.

This instructor-led, live training in Serbia (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.

About This Course

This three-day course is designed to guide AWS (Amazon Web Services) developers through the process of creating end-to-end solutions using Microsoft Azure. Throughout the course, you will learn how to build Azure App Service Web Apps and Azure Functions, utilize blob or Cosmos DB storage in your solutions, implement secure cloud solutions that include user authentication and authorization, manage APIs, develop event- and message-based solutions, and monitor, troubleshoot, and optimize your Azure applications. The course will also highlight the differences between AWS and Azure, helping you understand how to leverage Azure's unique features and capabilities as you develop applications for Azure.

Audience Profile

This course is aimed at experienced AWS developers who are looking to expand their skills into Azure development.

This 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.

This course equips IT Professionals with the skills to manage their Azure subscriptions effectively, secure identities, administer infrastructure, configure virtual networking, establish connections between Azure and on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, deploy web apps and containers, back up and share data, and monitor their solutions.

This course is designed for Azure Administrators. An Azure Administrator is responsible for implementing, managing, and monitoring identity, governance, storage, compute, and virtual networks in a cloud environment. The administrator will provision, size, monitor, and adjust resources as needed to ensure optimal performance.

This 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.

About This Course

This course is designed to guide developers through the process of creating comprehensive solutions on Microsoft Azure. Participants will gain knowledge on how to set up Azure compute resources, develop Azure Functions, deploy and manage web applications, utilize Azure storage services, implement authentication and authorization mechanisms, and enhance security using KeyVault and Managed Identities. The curriculum also includes techniques for integrating with Azure services and third-party services, as well as incorporating event- and message-driven models into their solutions. Additionally, the course covers strategies for monitoring, troubleshooting, and optimizing Azure-based applications.

Audience Profile

• This course is ideal for developers who are interested in Azure development or are preparing to take the Microsoft Azure Developer Associate certification exam.

This course equips Solutions Architects with the skills to transform business requirements into secure, scalable, and reliable solutions. It covers topics such as virtualization, automation, networking, storage, identity management, security, data platforms, and application infrastructure. The course explains how decisions in each of these areas impact the overall solution.

Audience Profile

This course is designed for IT Professionals who have experience in designing and implementing solutions on Microsoft Azure. Participants should possess a broad understanding of IT operations, including networking, virtualization, identity management, security, business continuity, disaster recovery, data platforms, budgeting, and governance. Azure Solution Architects typically start with the Azure Portal and progress to using the Command Line Interface as they become more proficient. Candidates are expected to have expert-level skills in Azure administration and practical experience with Azure development processes and DevOps practices.

This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include design considerations related to logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration. This role requires decisions in multiple areas that affect an overall design solution.

Skills Acquired

• Create a governance solution.
• Develop a compute solution.
• Architect an application design.
• Design storage systems, both non-relational and relational.
• Craft data integration solutions.
• Formulate authentication, authorization, and identity solutions.
• Plan network solutions.
• Devise backup and disaster recovery strategies.
• Outline monitoring solutions.
• Develop migration plans.

This course equips participants with the knowledge and skills necessary to design and implement DevOps processes and practices. It covers planning for DevOps, using source control, scaling Git for enterprise-level applications, consolidating artifacts, designing dependency management strategies, managing secrets, implementing continuous integration, developing a container build strategy, devising a release strategy, setting up a release management workflow, applying deployment patterns, and optimizing feedback mechanisms.

Audience profile

The course is designed for individuals who are interested in designing and implementing DevOps processes or preparing to pass the Microsoft Azure DevOps Solutions certification exam.

Job role: DevOps Engineer

Preparation for exam: AZ-400

Skills gained

• Plan for transformation by setting shared goals and timelines
• Select a project and identify key metrics and Key Performance Indicators (KPIs)
• Create an agile team and organizational structure
• Develop a tool integration strategy
• Design a license management plan (e.g., for Azure DevOps and GitHub users)
• Strategize end-to-end traceability from work items to functional software
• Create an authentication and access control strategy
• Design a strategy for integrating on-premises and cloud resources
• Explain the benefits of using Source Control
• Describe Azure Repos and GitHub
• Migrate from TFVC to Git
• Manage code quality, including technical debt with SonarCloud and other tools
• Build organizational knowledge on code quality
• Explain how to structure Git repositories
• Describe Git branching workflows
• Utilize pull requests for collaboration and code reviews
• Leverage Git hooks for automation
• Promote inner source practices across the organization using Git
• Explain the role of Azure Pipelines and its components
• Configure agents for use in Azure Pipelines
• Highlight the importance of continuous integration
• Implement continuous integration using Azure Pipelines
• Define Site Reliability Engineering
• Design processes to measure end-user satisfaction and analyze user feedback
• Design processes to automate application analytics
• Manage alerts and reduce irrelevant or non-actionable alerts
• Conduct blameless retrospectives and foster a just culture
• Define an infrastructure and configuration strategy, along with the appropriate tools for a release pipeline and application infrastructure
• Implement compliance and security measures in your application infrastructure
• Identify potential challenges with integrating open-source software
• Inspect open-source software packages for security and license compliance
• Manage organizational security and compliance policies
• Integrate license and vulnerability scans into build and deployment pipelines
• Configure build pipelines to assess package security and license ratings

This course equips IT Security Professionals with the knowledge and skills necessary to implement security controls, maintain an organization's security posture, and identify and remediate security vulnerabilities. It covers security for identity and access management, platform protection, data and applications, and security operations.

Audience profile

This course is designed for Azure Security Engineers who are preparing to take the associated certification exam or who perform security tasks as part of their daily job responsibilities. It would also be beneficial for engineers looking to specialize in providing security for Azure-based digital platforms and play a crucial role in safeguarding an organization's data.

Skills gained

• Implement enterprise governance strategies, including role-based access control, Azure policies, and resource locks.
• Set up an Azure AD infrastructure, including user management, group configurations, and multi-factor authentication.
• Deploy Azure AD Identity Protection features, such as risk policies, conditional access, and access reviews.
• Use Azure AD Privileged Identity Management for managing Azure AD roles and Azure resources.
• Configure Azure AD Connect for various authentication methods and on-premises directory synchronization.
• Implement perimeter security measures using Azure Firewall.
• Enforce network security policies with Network Security Groups and Application Security Groups.
• Apply host security strategies, including endpoint protection, remote access management, update management, and disk encryption.
• Secure container environments with Azure Container Instances, Azure Container Registry, and Azure Kubernetes Service.
• Utilize Azure Key Vault for managing certificates, keys, and secrets.
• Implement application security measures, including app registration, managed identities, and service endpoints.
• Ensure storage security through shared access signatures, blob retention policies, and Azure Files authentication.
• Protect database security with features like authentication, data classification, dynamic data masking, and always encrypted technologies.
• Leverage Azure Monitor for connected sources, log analytics, and alert configurations.
• Use Azure Security Center to enforce policies, follow recommendations, and manage just-in-time virtual machine access.
• Deploy Azure Sentinel for workbooks, incident management, and playbook creation.