40511-G: Microsoft Cloud Workshop: Continuous delivery in Azure DevOps Training Course

About This Course

This course teaches students how to design and build services that retrieve local and remote data from diverse sources. Learners will also acquire the skills to develop and deploy services across hybrid environments, covering both on-premises servers and Microsoft Azure.

Audience Profile

Primary: .NET developers looking to learn service development and deployment in hybrid environments.
Secondary: .NET developers with Web application development experience 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 within the .NET platform.
• Describe the Microsoft Azure cloud platform along with its compute, data, and application hosting offerings.
• Design and build a data-focused application using Visual Studio 2017 and Entity Framework Core.
• Design, implement, and consume HTTP services using ASP.NET Core.
• Extend HTTP services with ASP.NET Core.
• Host services in on-premises settings and within Microsoft Azure.
• Deploy services to on-premises and cloud environments, managing their interfaces and policies.
• Select appropriate data storage solutions, and manage caching, distribution, and synchronization of data.
• Monitor, log, and troubleshoot services.
• Explain claim-based identity concepts and standards, implementing authentication and authorization via Azure Active Directory.
• Create scalable service applications.

Acquire the essential expertise required to design Azure AI solutions by constructing a customer support chatbot powered by artificial intelligence on the Microsoft Azure platform. The curriculum covers language comprehension and the utilisation of pre-built AI capabilities within Azure Cognitive Services.

About This Course

This course provides an introduction to the core concepts of artificial intelligence (AI) and highlights the Microsoft Azure services available for developing AI solutions. It is not intended to train students to become professional data scientists or software developers; instead, it aims to raise awareness of typical AI workloads and equip learners with the ability to identify suitable Azure services for those tasks. Designed as a blended learning experience, the course combines instructor-led sessions with online resources on the Microsoft Learn platform (https://azure.com/learn). The practical exercises are derived from Learn modules, and students are encouraged to use Learn content as a reference to reinforce classroom learning and explore topics in greater depth.

Audience Profile

The Azure AI Fundamentals course is tailored for anyone eager to understand the types of solutions enabled by artificial intelligence (AI) and 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 expected. Some course concepts 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, knowledge of basic programming principles will be beneficial.

At Course Completion

Upon 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

This programme 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 solutions.

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

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

Audience profile

This course is ideal for Azure Security Engineers preparing for the associated certification exam or those handling security tasks in their daily roles. It is also beneficial for engineers seeking to specialize in securing Azure-based digital platforms and playing a key role in protecting an organization's data.

Skills gained

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

About This Course

This course equips students with a solid understanding of Azure SQL Database and guides them through the requirements for migrating MySQL and PostgreSQL workloads to Azure SQL Database.

Audience Profile

The primary target audience for this course consists of database developers who intend to migrate their MySQL or Postgres database workloads to Azure SQL DB. The secondary audience includes MySQL/Postgres administrators seeking to gain awareness of the features and benefits of Azure SQL DB.

At Course Completion

Upon completing this course, students will have learned how to:

• Migrate on-premises MySQL to Azure SQL DB for MySQL
• Migrate on-premises PostgreSQL to Azure SQL DB for PostgreSQL

About This Programme

In this programme, participants will acquire a solid understanding of database principles within cloud environments, develop essential skills in cloud data services, and build a strong foundational knowledge of cloud data offerings on Microsoft Azure. Learners 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 also covers the various roles, tasks, and responsibilities within the data industry. Participants will examine relational data services, learn how to provision and deploy relational databases, and query relational data through cloud data solutions on Azure. Additionally, the programme explores non-relational data offerings, including the provisioning and deployment of non-relational databases and data stores on Azure. Students will investigate the processing options available for creating data analytics solutions in Azure, focusing on Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Finally, participants will gain insight into Power BI, understanding its key components and how they function together.

Target Audience

This programme is designed for individuals seeking to understand the fundamentals of database concepts in cloud environments, gain basic proficiency in cloud data services, and establish a foundational knowledge of cloud data services within the Microsoft Azure ecosystem.

Learning Outcomes

Upon completing this programme, participants will be able to:

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

This three-day programme is designed mainly for IT professionals who already have experience managing on-premises Windows Server environments. Its goal is to equip participants with the skills needed to plan, implement, and manage settings that incorporate Azure IaaS-hosted Windows Server workloads. The content explores how to utilise Azure’s hybrid capabilities, how to move virtual and physical server workloads to Azure IaaS, and how to manage and secure Azure VMs running Windows Server 2019.