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

About This Course

In this course, participants will acquire the skills to design and develop services that interact with local and remote data from diverse sources. Additionally, learners will master the process of deploying services to hybrid environments, encompassing both on-premises servers and Microsoft Azure.

Audience Profile

Primary: .NET developers seeking to learn how to create services and deploy them within hybrid environments.
Secondary: .NET developers with prior web application development experience who are interested in building new applications or migrating existing ones to Microsoft Azure.

At Course Completion

Upon finishing this course, students will be equipped 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 offerings.
• Design and develop data-centric applications utilizing Visual Studio 2017 and Entity Framework Core.
• Design, implement, and consume HTTP services using ASP.NET Core.
• Extend HTTP services via ASP.NET Core.
• Host services both on-premises and within Microsoft Azure.
• Deploy services to on-premises and cloud environments, and manage their service interfaces and policies.
• Select appropriate data storage solutions, and manage data caching, distribution, and synchronization.
• Monitor, log, and troubleshoot services.
• Describe claim-based identity concepts and standards, and implement authentication and authorization using Azure Active Directory.
• Create scalable service applications.

Acquire the essential skills required to design Azure AI solutions by constructing a customer support chatbot leveraging artificial intelligence on the Microsoft Azure platform. This includes implementing language understanding capabilities and utilising pre-built AI functionalities available through 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. The program is not intended to train students to become professional data scientists or software developers; instead, it aims to build awareness of common AI workloads and the ability to identify appropriate Azure services to support them. Designed as a blended learning experience, the course combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises are based on 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 designed for anyone interested in understanding the types of solutions that artificial intelligence (AI) enables, 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 basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities involving data work and code execution, so a knowledge of fundamental programming principles will be helpful.

At Course Completion

After 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 course equips IT Professionals with the skills to manage Azure subscriptions, secure identities, administer infrastructure, configure virtual networking, connect Azure with 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 your solutions.

This course is designed for Azure Administrators. The Azure Administrator manages, implements, and monitors identity, governance, storage, compute, and virtual networks within a cloud environment. The Azure Administrator provisions, sizes, monitors, and adjusts resources as necessary.

About This Course

This course equips learners with a comprehensive understanding of Azure SQL Database, providing essential guidance on migrating MySQL and PostgreSQL workloads to the Azure SQL Database platform.

Audience Profile

The primary audience comprises database developers planning to transition their MySQL or Postgres database workloads to Azure SQL DB. The secondary audience includes MySQL and Postgres administrators seeking to enhance their awareness of the features and benefits offered by Azure SQL DB.

At Course Completion

Upon completing this course, students will have acquired the ability to:

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

About This Course

In this course, learners will gain an understanding of database concepts within a cloud setting, acquire foundational skills in cloud data services, and develop a solid grasp of cloud data services on Microsoft Azure. Participants will identify and describe essential data concepts, including relational, non-relational, big data, and analytics, and examine how these technologies are applied using Microsoft Azure. The course also covers the roles, tasks, and responsibilities associated with the data field. Students will investigate relational data solutions, including provisioning and deploying relational databases, as well as querying relational data through Azure cloud solutions. Additionally, learners will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores within Microsoft Azure. The curriculum also addresses the processing options available for constructing data analytics solutions in Azure, including Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Finally, students will learn about Power BI, its core components, and how they function together.

Audience Profile

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

At Course Completion

Upon finishing 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 intensive three-day programme is designed for IT professionals who possess hands-on experience in managing on-premises Windows Server environments. It aims to equip these professionals with the skills needed to plan, implement, and manage infrastructures that incorporate Azure IaaS-hosted Windows Server workloads. Key topics include leveraging Azure’s hybrid capabilities, migrating virtual and physical server workloads to Azure IaaS, and effectively managing and securing Azure virtual machines running Windows Server 2019.