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

During this whiteboard design session, you will explore how to architect a solution utilizing a combination of Azure Resource Manager templates and Azure DevOps to facilitate continuous delivery across various Azure PaaS services.

Upon completion of this workshop, you will be better equipped to construct templates that automate cloud infrastructure, thereby minimizing error-prone manual workflows. Additionally, you will learn to create an Azure Resource Manager (ARM) template for provisioning Azure resources, set up continuous delivery using Azure DevOps, integrate Application Insights into an application, and establish an Azure DevOps project along with a Git repository.

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

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 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.

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 course equips participants with the knowledge and skills necessary to design and implement effective DevOps processes and practices. Participants will learn how to plan for DevOps adoption, utilize source control, scale Git within an enterprise environment, consolidate artifacts, design dependency management strategies, manage secrets, implement continuous integration, establish container build strategies, design release strategies, set up release management workflows, implement deployment patterns, and optimize feedback mechanisms.

Audience Profile

This course is ideal for students interested in designing and implementing DevOps processes or preparing for the Microsoft Azure DevOps Solutions certification exam.

Job Role: DevOps Engineer

Exam Preparation: AZ-400

Skills Gained

• Plan organizational transformation through shared goals and timelines
• Select projects and identify project metrics and Key Performance Indicators (KPIs)
• Establish team structures and agile organizational frameworks
• Design strategies for tool integration
• Develop license management strategies (e.g., for Azure DevOps and GitHub users)
• Create strategies for end-to-end traceability from work items to working software
• Design authentication and access strategies
• Formulate strategies 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 management via SonarCloud and other tools
• Build organizational knowledge regarding code quality
• Explain methods for structuring Git repositories
• Describe Git branching workflows
• Leverage pull requests for collaboration and code reviews
• Utilize Git hooks for automation
• Use Git to foster inner source practices across the organization
• Explain the role of Azure Pipelines and its components
• Configure Agents for use in Azure Pipelines
• Explain 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 meaningless or non-actionable notifications
• Conduct blameless retrospectives and create a just culture
• Define infrastructure and configuration strategies and toolsets for release pipelines and application infrastructure
• Implement compliance and security within application infrastructure
• Describe 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 access package security and license ratings

Designed for IT security professionals, this course equips participants with the essential knowledge and skills to implement security controls, sustain an organization's security posture, and detect and remediate vulnerabilities. The curriculum encompasses security for identity and access, platform protection, data and applications, and security operations.

Audience profile

This course is ideal for Azure Security Engineers who are preparing for the associated certification exam or who perform security tasks in their daily roles. It is also beneficial for engineers seeking to specialize in securing Azure-based digital platforms and playing a critical role in protecting organizational data.

Skills gained

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

About This Course

In this course, students will acquire the fundamentals of database concepts within a cloud environment, gain basic skills in cloud data services, and establish a solid foundational knowledge of cloud data services in Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.

Audience Profile

The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.

At Course Completion

After 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 live, instructor-led training in Serbia (online or onsite) is designed to assist participants in preparing for the Microsoft Azure Administrator Associate (AZ-104) certification exam.

The course covers the skills required to manage Azure resources, including Azure virtual machines, storage solutions, and Azure network management.

This instructor-led, live training in Serbia (online or onsite) is designed to assist participants in preparing for the Microsoft Azure Developer Associate (AZ-204) certification exam. 

The curriculum explores the fundamentals of developing Azure solutions, encompassing Azure compute, storage, and security features. It offers a thorough introduction to Azure development, highlighting the tools and services necessary for building, testing, and deploying applications.

This instructor-led, live training in Serbia (online or onsite) is structured to assist participants in preparing for the Microsoft Azure Solutions Architect Expert (AZ-305) certification exam.

The curriculum addresses advanced cloud computing concepts and Azure services, offering a thorough introduction to Azure solutions architecture, its principles, components, and services. Attendees will also gain skills in designing and deploying Azure solutions according to best practices and industry standards.

This instructor-led, live training in Serbia (online or onsite) is designed to help participants prepare for the Microsoft Azure DevOps Engineer certification exam (AZ-400).

The course covers the fundamentals of DevOps practices and how they can be implemented on the Azure platform. Participants will learn how to utilize Azure DevOps to manage code, build and release pipelines, and implement continuous integration and continuous delivery (CI/CD) practices.

This instructor-led, live training in Serbia (online or onsite) is designed to help participants prepare for the Microsoft Azure Security Engineer Associate (AZ-500) certification exam.

The course covers various security topics related to Azure, including identity and access management, platform protection, data and application protection, and operations management.