Migrate Open Source Data Workloads to Azure (authorized training course DP 070T00) Training Course

About This Course

Through this course, learners will acquire the skills to design and build services that retrieve local and remote data from diverse sources. Additionally, participants will learn how to develop and deploy these services within hybrid environments, spanning on-premises servers and Microsoft Azure.

Audience Profile

Primary audience: .NET developers seeking to learn service development and deployment to hybrid environments.
Secondary audience: .NET developers with experience in web application development who are interested in building new applications or migrating existing ones to Microsoft Azure.

At Course Completion

Upon finishing this course, students will be able to:

• Explain fundamental concepts of service development and data access strategies within the .NET platform.
• Describe the Microsoft Azure cloud platform, including 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 through ASP.NET Core.
• Host services both on-premises and in Microsoft Azure.
• Deploy services to on-premises and cloud environments while managing their interfaces and policies.
• Select appropriate data storage solutions and manage caching, distribution, and synchronization of data.
• Monitor, log, and troubleshoot services effectively.
• Describe claim-based identity concepts and standards, and implement authentication and authorization using Azure Active Directory.
• Create scalable service applications.

In this whiteboard design session, you will learn how to design a solution with a combination of Azure Resource Manager templates and Azure DevOps to enable continuous delivery with several Azure PaaS services.

At the end of this workshop, you will be better able to build templates to automate cloud infrastructure and reduce error-prone manual processes. In addition, you'll create an Azure Resource Manager (ARM) template to provision Azure resources, configure continuous delivery with Azure DevOps, configure Application Insights into an application, and create an Azure DevOps project and Git repository.

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

About This Course

This course provides an overview of fundamental concepts related to artificial intelligence (AI) and the Microsoft Azure services available for developing AI solutions. Rather than aiming to train students to become professional data scientists or software developers, the course focuses on building awareness of common AI workloads and enabling participants to 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 course includes hands-on exercises based on Learn modules, and students are encouraged to use Learn content as a reference to reinforce their 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 that artificial intelligence (AI) enables, as well as the Microsoft Azure services used to build them. Prior experience with Microsoft Azure is not required, but a basic familiarity with computer technology and the Internet is assumed. Some concepts covered require a fundamental understanding of mathematics, such as the ability to interpret charts. Since the course includes hands-on activities involving data manipulation and code execution, a foundational knowledge of programming principles will be beneficial.

At Course Completion

After completing this course, you will be able to:

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

This instructor-led, live training in Slovakia (online or onsite) is tailored for intermediate to advanced professionals seeking to build and deploy AI-enhanced cloud applications on Microsoft Azure.

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

• Developing event-driven and serverless applications using Azure Functions.
• Managing Azure storage resources and virtual machines.
• Deploying and scaling web applications via Azure App Service and Docker containers.
• Integrating artificial intelligence, machine learning, and natural language processing capabilities through Azure AI Services.
• Utilizing GitHub Copilot to support AI-driven cloud application development.

This course equips students with the essential knowledge and skills required to utilize PowerShell for the administration and automation of Windows server environments. Participants will develop the ability to identify and construct the specific commands needed to execute designated tasks. Furthermore, students will learn how to create scripts to handle advanced responsibilities, such as automating repetitive processes and generating detailed reports. This course delivers prerequisite competencies that support a wide array of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. Aligned with this objective, the course does not concentrate exclusively on any single product; however, Windows Server serves as the primary example platform for demonstrating the techniques taught, as it underpins all of these Microsoft solutions.

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

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

This course equips Azure administrators with the skills to plan, deliver, and manage virtual desktop experiences and remote applications for any device on Azure. Participants will engage in a combination of demonstrations and hands-on labs to deploy virtual desktops and applications on Azure Virtual Desktop, optimizing them for multi-session virtual environments.

This course equips IT security professionals with the essential knowledge and skills required to implement security controls, maintain an organization’s security posture, and identify and resolve security vulnerabilities. The curriculum covers identity and access security, platform protection, data and application security, and security operations.

Audience profile

This course is designed for Azure Security Engineers who intend to take the associated certification exam or who perform security-related tasks in their daily roles. It is also beneficial for engineers aiming to specialize in securing Azure-based digital platforms and playing a pivotal role in safeguarding an organization’s data.

Skills gained

• Implement enterprise governance strategies, including role-based access control, Azure policies, and resource locks.
• Deploy an Azure AD infrastructure comprising users, groups, and multi-factor authentication.
• Configure Azure AD Identity Protection, including risk policies, conditional access, and access reviews.
• Set up Azure AD Privileged Identity Management for Azure AD roles and Azure resources.
• Implement Azure AD Connect, covering authentication methods and on-premises directory synchronization.
• Deploy perimeter security strategies, such as Azure Firewall.
• Establish network security strategies, including Network Security Groups and Application Security Groups.
• Enforce host security strategies, including endpoint protection, remote access management, update management, and disk encryption.
• Secure container environments, including Azure Container Instances, Azure Container Registry, and Azure Kubernetes.
• Utilize Azure Key Vault for managing certificates, keys, and secrets.
• Implement application security strategies, including app registration, managed identities, and service endpoints.
• Secure storage using shared access signatures, blob retention policies, and Azure Files authentication.
• Secure databases through authentication, data classification, dynamic data masking, and Always Encrypted.
• Deploy Azure Monitor for connected sources, log analytics, and alerts.
• Configure Azure Security Center with policies, recommendations, and just-in-time virtual machine access.
• Set up Azure Sentinel, including workbooks, incidents, and playbooks.

About This Course

In this course, students will gain an understanding of fundamental database concepts within a cloud environment, acquire basic skills in cloud data services, and establish a solid foundation in Azure cloud data services. Participants will identify and explain core data concepts, including relational, non-relational, big data, and analytics, while exploring how these technologies are implemented using Microsoft Azure. The course covers the roles, tasks, and responsibilities associated with data management. Students will investigate relational data offerings, learn to provision and deploy relational databases, and query relational data through cloud data solutions in Azure. Additionally, they will explore non-relational data offerings, including the provisioning and deployment of non-relational databases and data stores in Azure. The curriculum also addresses processing options for developing data analytics solutions in Azure, with a focus on Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Finally, students will discover what Power BI is, including its key components and how they function together.

Audience Profile

This course is designed for individuals who wish to learn the fundamentals of database concepts in a cloud environment, acquire basic skills in cloud data services, and build foundational knowledge of cloud data services within Microsoft Azure.

At Course Completion

Upon completing this course, students will be able to:

• Describe core data concepts in Azure
• Explain concepts of relational data in Azure
• Explain concepts of non-relational data in Azure
• Identify components of a modern data warehouse in Azure

This three-day course is designed primarily for IT Professionals with experience in managing on-premises Windows Server environments. Its goal is to equip professionals with the skills needed to plan, implement, and manage environments that incorporate Azure IaaS-hosted Windows Server-based workloads. The curriculum explores leveraging Azure's hybrid capabilities, migrating virtual and physical server workloads to Azure IaaS, and managing and securing Azure VMs running Windows Server 2019.