Microsoft Azure AI Fundamentals (authorized training course AI 900T00) Training Course

About This Course

In this course, students will gain the skills needed to design and develop services that can access local and remote data from a variety of 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 who are interested in learning how to create and deploy services to hybrid environments.
Secondary: .NET developers with experience in web application development who are considering developing new applications or migrating existing ones to Microsoft Azure.

At Course Completion

Upon 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 for compute, data, and application hosting.
• Design and develop a data-centric application using Visual Studio 2017 and Entity Framework Core.
• Create 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 policies for these services.
• Select a data storage solution, implement caching, distribute, and synchronize data.
• Monitor, log, and troubleshoot services effectively.
• Understand 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 for designing an Azure AI solution 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 three-day course is tailored to help AWS (Amazon Web Services) developers learn how to create end-to-end solutions using Microsoft Azure. Throughout the course, you will gain hands-on experience in building Azure App Service Web Apps and Azure Functions, utilizing blob or Cosmos DB storage, implementing secure cloud solutions with user authentication and authorization, managing APIs, developing event- and message-based solutions, and monitoring, troubleshooting, and optimizing your Azure applications. You will also explore how developers use Azure services, focusing on the unique features and tasks that differ from AWS, providing you with valuable insights as you transition to developing applications hosted on Azure.

Audience Profile

The course is designed for experienced AWS developers who are interested in expanding their skills into Azure development.

This course equips IT Professionals with the skills to manage their 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 the overall solution.

This course is designed for Azure Administrators. The role of an Azure Administrator involves implementing, managing, and monitoring identity, governance, storage, compute, and virtual networks in a cloud environment. Azure Administrators are responsible for provisioning, sizing, monitoring, and adjusting resources as needed to ensure optimal performance.

About This Course

This course is designed to guide developers through the process of creating comprehensive solutions in Microsoft Azure. Participants will gain expertise in implementing Azure compute solutions, developing Azure Functions, managing and deploying web apps, leveraging Azure storage, and integrating authentication and authorization mechanisms. They will also learn how to enhance security using KeyVault and Managed Identities. Additionally, the course covers connecting to and utilizing both Azure services and third-party services, as well as incorporating event- and message-based models into their solutions. The curriculum also includes essential skills in monitoring, troubleshooting, and optimizing Azure solutions.

Audience Profile

• This course is tailored for developers who are interested in Azure development or who aim to pass the Microsoft Azure Developer Associate certification exam.

This course equips participants with the knowledge and skills necessary to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, utilize source control, scale Git for enterprise-level projects, consolidate artifacts, develop a dependency management strategy, manage secrets, implement continuous integration, create a container build strategy, design a release strategy, set up a release management workflow, execute deployment patterns, and optimize feedback mechanisms.

Audience profile

This course is designed for individuals who are interested in designing and implementing DevOps processes or preparing for 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 determine key performance indicators (KPIs)
• Create a team with an agile organizational structure
• Design a tool integration strategy
• Develop a license management strategy for Azure DevOps and GitHub users
• Plan for end-to-end traceability from work items to working software
• Design authentication and access strategies
• Create a plan 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 addressing technical debt with SonarCloud and other tools
• Build organizational knowledge on code quality practices
• Explain how to structure Git repositories
• Describe various Git branching workflows
• Leverage pull requests for collaboration and code reviews
• Use Git hooks for automation tasks
• Promote inner source development across the organization using Git
• Explain the role of Azure Pipelines and its components
• Set up agents for use in Azure Pipelines
• Understand the importance of continuous integration
• Implement continuous integration with Azure Pipelines
• Define Site Reliability Engineering (SRE)
• Create processes to measure end-user satisfaction and analyze user feedback
• Design processes to automate application analytics
• Manage alerts to reduce meaningless and non-actionable notifications
• Conduct blameless retrospectives and foster a just culture
• Develop an infrastructure and configuration strategy for release pipelines and application infrastructure
• Implement compliance and security measures in your application infrastructure
• Discuss the challenges of 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

This course equips IT Security Professionals with the knowledge and skills required to implement security controls, maintain an organization's security posture, and identify and address security vulnerabilities. The curriculum 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 in their daily job. It will also be beneficial for engineers looking to specialize in securing Azure-based digital platforms and play a crucial role in protecting 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, encompassing users, groups, and multi-factor authentication.
• Deploy Azure AD Identity Protection, which includes risk policies, conditional access, and access reviews.
• Utilize Azure AD Privileged Identity Management for managing Azure AD roles and Azure resources.
• Configure Azure AD Connect to handle authentication methods and on-premises directory synchronization.
• Implement perimeter security measures using Azure Firewall.
• Enforce network security through Network Security Groups and Application Security Groups.
• Apply host security strategies, such as endpoint protection, remote access management, update management, and disk encryption.
• Secure containers with Azure Container Instances, Azure Container Registry, and Azure Kubernetes.
• Manage Azure Key Vault for 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 databases with authentication, data classification, dynamic data masking, and always encrypted features.
• Utilize Azure Monitor for connected sources, log analytics, and alerts.
• Leverage Azure Security Center for security policies, recommendations, and just-in-time virtual machine access.
• Deploy Azure Sentinel to manage workbooks, incidents, and playbooks.

This training enables participants to enhance their skills in designing Microsoft Azure solutions.

Upon completing this training, participants will gain a comprehensive understanding of the features and capabilities of Azure services, enabling them to identify trade-offs and make informed decisions for designing public and hybrid cloud solutions.

Throughout the training, participants will define the appropriate infrastructure and platform solutions to meet the necessary functional, operational, and deployment requirements throughout the solution lifecycle.

The Azure Bot Service integrates the capabilities of the Microsoft Bot Framework and Azure Functions to facilitate the rapid development of intelligent bots.

In this instructor-led, live training, participants will learn how to efficiently create an intelligent bot using Microsoft Azure.

By the end of this training, participants will be able to:

• Understand the basics of intelligent bots
• Learn how to develop intelligent bots using cloud applications
• Gain insight into utilizing the Microsoft Bot Framework, the Bot Builder SDK, and the Azure Bot Service
• Discover how to design bots using bot patterns
• Create their first intelligent bot using Microsoft Azure

Audience

• Developers
• Hobbyists
• Engineers
• IT Professionals

Format of the course

• Part lecture, part discussion, exercises, and extensive hands-on practice

About This Course

This course is designed to help students gain a comprehensive understanding of Azure SQL Database and the steps required to migrate MySQL and PostgreSQL workloads to Azure SQL Database.

Audience Profile

The primary audience for this course includes database developers who are planning to migrate their MySQL or Postgres DB workloads to Azure SQL DB. The secondary audience comprises MySQL/Postgres administrators who want to familiarize themselves with the features and benefits of Azure SQL DB.

At Course Completion

By the end of this course, students will have learned how to:

• Migrate on-premises MySQL databases to Azure SQL Database for MySQL
• Migrate on-premises PostgreSQL databases to Azure SQL Database for PostgreSQL

About This Course

In this course, students will delve into the fundamentals of database concepts within a cloud environment. They will gain essential skills in cloud data services and build a solid foundation in Microsoft Azure's cloud data services. The curriculum covers core data concepts such as relational, non-relational, big data, and analytics, with a focus on how these technologies are implemented using Microsoft Azure. Students will explore the various roles, tasks, and responsibilities within the data landscape. They will also learn about relational data offerings, including provisioning, deploying, and querying relational databases through cloud solutions in Azure. The course delves into non-relational data offerings, covering the provisioning and deployment of non-relational databases and data stores with Microsoft Azure. Additionally, students will explore the different processing options available for building data analytics solutions in Azure, such as Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. They will also gain an understanding of Power BI, including its components and how they work 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 a foundational knowledge base 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 the principles of relational data in Azure
• Understand the concepts of non-relational data in Azure
• Identify the components of a modern data warehouse in Azure

In this instructor-led, live training in Slovakia (onsite or remote) participants will learn the fundamental concepts, components, and services of Microsoft Azure as they step through the creation of a sample cloud application.

By the end of this training, participants will be able to:

• Understand the basics of Microsoft Azure
• Understand the different Azure tools and services
• Learn how to use Azure for building cloud applications

The Internet of Things (IoT) is a network infrastructure that connects physical devices and software applications wirelessly, enabling them to communicate and exchange data through network communications, cloud computing, and data capture. Azure offers a comprehensive suite of cloud services, including an IoT Suite with preconfigured solutions designed to help developers expedite the development of IoT projects.

In this instructor-led, live training, participants will learn how to develop IoT applications using Azure.

By the end of this training, participants will be able to:

• Grasp the fundamental concepts of IoT architecture
• Install and configure the Azure IoT Suite
• Understand the advantages of using Azure for programming IoT systems
• Implement various Azure IoT services such as IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, and IoT Device Management
• Build, test, deploy, and troubleshoot an IoT system using Azure

Audience

• Developers
• Engineers

Format of the course

• Part lecture, part discussion, exercises, and extensive hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.

This three-day course is primarily designed for IT professionals with experience in managing on-premises Windows Server environments. The aim is to equip these professionals with the skills needed to plan, implement, and manage environments that incorporate Azure IaaS-hosted Windows Server-based workloads. The course delves into leveraging the hybrid capabilities of Azure, migrating both virtual and physical server workloads to Azure IaaS, and effectively managing and securing Azure VMs running Windows Server 2019.