• Microsoft Courses

  • Designing Microsoft Azure Infrastructure Solutions

    4 days
    Four-days instructor-led training teaches Azure Solution Architects how to design infrastructure solutions. Course topics cover governance, compute, application architecture, storage, data integration, authentication and identity, networks, high availability, business continuity, and migrations. The course combines lecture with case studies to demonstrate basic architect design principles.

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  • Empower your workforce with MS 365 Copilot Use Cases

    1 day
    This one-day course is composed of two parts – Getting started with Microsoft 365 Copilot and Empower your workforce with Microsoft 365 Copilot Use Cases. The first part of the course introduces you to Copilot for Microsoft 365, examines how you can use Copilot throughout the various Microsoft 365 apps, explores best practices for using Copilot and building effective prompts, and examines how you can extend Copilot.

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  • Exchange Hybrid Configuration and Migration Options

    1 day

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  • Admin. Info. Protection & Compliance in MS 365

    4 days
    Learn how to protect information in your Microsoft 365 deployment. This course focuses on data governance and information protection within your organization. The course covers implementation of data loss prevention policies, sensitive information types, sensitivity labels, data retention policies and Office 365 message encryption among other related topics.

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  • Administering Windows Server Hybrid Core Infrastructure

    4 days
    This course teaches IT Professionals how to manage core Windows Server workloads and services using on-premises, hybrid, and cloud technologies. The course teaches IT Professionals how to implement and manage on-premises and hybrid solutions such as identity, management, compute, networking, and storage in a Windows Server hybrid environment.

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  • Azure Administrator Associate

    4 days
    This course teaches IT Professionals how to secure identities, manage their Azure subscriptions, administer the infrastructure, configure virtual networking, connect Azure and on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, implement web apps and containers, back up and share data, and monitor your solution.

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  • Configuring and Operating Microsoft Azure Virtual Desktop

    4 days
    This course teaches Azure administrators how to plan, deliver, and manage virtual desktop experiences and remote apps, for any device, on Azure. Students will learn through a mix of demonstrations and hands-on lab experiences deploying virtual desktop experiences and apps on Windows Virtual Desktop and optimizing them to run in multi-session virtual environments.

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  • Craft effective prompts for Microsoft 365 Copilot

    1 day
    Discover ways to craft effective and contextual prompts for Microsoft 365 Copilot that create, simplify, transform, and compile content across Microsoft 365 applications. Learn the importance of providing a clear goal, context, source, and expectation in your prompt for the best results. This course covers real world scenarios and examples using Copilot in Microsoft 365 apps like Word, Excel, PowerPoint, Teams, Outlook, OneNote, and Chat.

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  • Designing and Implementing a Data Science Sol. on Azure

    3 days
    Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

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  • Designing and Implementing a Microsoft Azure AI Solution

    4 days
    Describe the considerations for developing AI applications Create, configure, deploy, and secure Azure Cognitive Services To develop applications that analyze text Develop speech-enabled applications To create applications with natural language understanding capabilities To create QnA applications To create conversational solutions with bots Use computer vision services to analyze images and videos Create custom computer vision models To develop applications that detect, analyze and recognize faces To devel

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