Course Overview

Create your own data model and canvas app to support a scenario for a fictional company. You’re provided high-level specifications on the custom tables, columns and canvas app needed to complete this project.

Course Content

Get started with Power Apps canvas apps

This module introduces the learner to Power Apps. It starts with an introduction video briefly describing the “why” (case for Power Apps) and the “what” for what users can do with Power Apps. The units then take users through the “how” instilling in them the confidence that they can use Power Apps to interact with their data.

  • Introduction to Power Apps
  • Start Power Apps
  • Exercise – Create your first app in Power Apps
  • Power Apps data sources
  • Exercise – Create an app from Excel using Copilot
  • Use Power Apps with Power Automate and Power BI
  • Designing a Power Apps app
  • Check your knowledge
  • Summary

Customize a canvas app in Power Apps

In this module, we’ll show learners how to customize their app, a necessary skill for taking advantage of the capabilities of Power Apps. This unit builds upon the app produced in the first unit.

  • Improve your app by making basic customizations
  • Explore controls and screens in canvas apps
  • Exercise – Introduction to formulas in canvas apps
  • Exercise – Create basic screen navigation for a canvas app
  • Check your knowledge
  • Summary

How to build the User Interface in a canvas app in Power Apps

In this module, learners will learn how to build UI for their app including theming, icons, images, personalization, form factors and controls. In their learning path, thus far, learners have used basic controls with little to no customization. This unit shows how to make an app more personal and help it fit branding or personal requirements.

  • Use themes to quickly change the appearance of your app5 min
  • Brand a control
  • Icons
  • Images
  • Personalization
  • Build for phones or tablets
  • Exercise – Create and adjust UI for a new canvas app
  • Check your knowledge
  • Summary

Work with external data in a Power Apps canvas app

Do you need to connect an app to access data? Then this module is for you. It focuses on connecting your app to a data source.

  • Introduction
  • Data-source overview
  • Add a data source
  • Add Office 365 users to your application
  • Display and interact with your data in a gallery
  • Move data between collections and data sources by using Collect
  • Exercise – Work with external data in a canvas app
  • Check your knowledge
  • Summary

Write data in a Power Apps canvas app

Forms can be used to view, edit, and create records. This module demonstrates how to use forms to write data to your data source. Topics will include form setup, the different form modes, and how to configure a submit button.

  • Introduction to forms
  • Form modes
  • Adding and customizing an Edit form
  • Submit your form
  • Special properties
  • Exercise- Working with forms
  • Check your knowledge
  • Summary

Publish, share, and maintain a canvas app

You’ve built your first app. Now, it’s time to publish, share it with others, and maintain subsequent versions of the app.

  • Introduction
  • Exercise – Publish your app
  • Exercise – Share your app
  • Exercise – Maintain your app
  • Application lifecycle management
  • Check your knowledge
  • Summary

Guided Project – Create and manage canvas apps with Power Apps

Create your own data model and canvas app to support a scenario for a fictional company. You’re provided high-level specifications on the custom tables, columns and canvas app needed to complete this project.

  • Introduction
  • Prepare
  • Exercise – Create a canvas app that connects to a data source
  • Knowledge check
  • Summary

Course Overview

Get started with Power Automate by create and manage automated processes with Power Automate. Including creating triggers for cloud flows, configuring actions, implementing conditional logic for a cloud flow, testing a cloud flow, creating and configuring approvals by using Power Automate, and sharing cloud flows.

Course Content

Module 1 Get started with Power Automate

Power Automate is an online workflow service that automates actions across the most common apps and services.

Module 2 Build approval flows with Power Automate

Power Automate is an online workflow service that automates actions across the most common apps and services. In this module, you build approval flows to streamline your business, save time, and work more efficiently.

Module 3 Build flows to manage user information

Power Automate is an online workflow service that automates actions across the most common apps and services. In this module, you build more flows to manage user information.

Module 4 Power Automate’s deep integration across multiple data sources

Power Automate is an online workflow service that automates actions across the most common apps and services. In this module, you’ll build flows across multiple data sources.

Module 5 Guided Project – Create and manage automated processes with Power Automate

Create your own data model and flow to support a scenario for a fictional company. You’ll be provided with high-level specifications on the custom tables, columns, and flow needed to complete this project.


Course Overview

Copilots are quickly becoming a popular way to use with AI models, automate tasks, and improve productivity. In this learning path, you’ll explore options for adopting, using, and creating copilots

Course Objectives

By the end of this course, you are able to:

  • Understand generative AI’s place in the development of artificial intelligence.
  • Understand language models and their role in intelligent applications.
  • Describe examples of copilots and good prompts.
  • Create copilots.
  • Test copilots.
  • Analyze performance.
  • Describe core features and capabilities of Azure AI Studio
  • Use Azure AI Studio to provision and manage an Azure AI resource
  • Use Azure AI Studio to create and manage an AI project
  • Understand when to use Azure AI Studio
  • Identify the need to ground your language model with Retrieval Augmented Generation (RAG)
  • Index your data with Azure AI Search to make it searchable for language models
  • Build a copilot using RAG on your own data in the Azure AI Studio

Course Content

Fundamentals of Generative AI

In this module, you explore the way in which language models enable AI applications and services to generate original content based on natural language input. You also learn how generative AI enables the creation of copilots that can assist humans in creative tasks.

Get started with Microsoft Copilot Studio

Microsoft Copilot Studio allows organizations to quickly create copilots based on business scenarios their customers and employees can easily interact with as needed. In this module, you’re introduced to key concepts for copilots.

Introduction to Azure AI Studio

Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Azure AI Studio brings these services together in a single unified experience for AI development on the Azure cloud platform.


Build a RAG-based copilot solution with your own data using Azure AI Studio

Copilots can work alongside you to provide suggestions, generate content, or help you make decisions. Copilots use language models as a form of generative artificial intelligence (AI) and will answer your questions using the data they were trained on. To ensure a copilot retrieves information from a specific source, you can add your own data when building a copilot with the Azure AI Studio

Course Overview

Discover how to successfully drive adoption of Microsoft Copilot for Microsoft 365 in your organization.

Learn how to drive adoption of Microsoft Copilot for Microsoft 365 using the Microsoft 365 adoption framework to create and implement a robust adoption plan.

This course has been created by Microsoft as a “Bring Your Own Environment” course, allowing individuals to use their personal devices and settings.  If a student wants to complete the hands-on activities, the individual must bring their own CoPilot environment.  Otherwise, demonstrations and lectures will be conducted by the instructor

Course Objectives

Students will learn to,

  • Explore adoption methods and strategies for the adoption of Microsoft Copilot for Microsoft 365
  • Envision a successful adoption of Copilot for Microsoft 365
  • Onboard and empower your employees to use Copilot for Microsoft 365 efficiently
  • Drive value and maximize the impact of Copilot for Microsoft 365 within your organization

Course Content

Module 1: Explore adoption methods and strategies for the adoption of Microsoft Copilot for Microsoft 365

  • Describe the People First strategy and the three key principles within its framework.
  • Describe the Microsoft 365 adoption framework.
  • Describe the rapid adoption method.
  • Discover insights from an organization who adopted Copilot for Microsoft 365 to transform their business.

Module 2: Envision a successful adoption of Copilot for Microsoft 365

  • Understand the key roles needed to assemble the appropriate technology enablement team.
  • Define a user experience strategy.
  • Identify and prioritize scenarios.
  • Establish success measures and reporting plan.
  • Assess your organization’s readiness.

Module 3: Onboard and empower your employees to use Copilot for Microsoft 365 efficiently

  • Prepare your technical environment for Copilot for Microsoft 365.
  • Build your own Microsoft Copilot Center of Excellence.
  • Build a Champion and an Early Adopters Program.
  • Build an engagement strategy.
  • Build a training strategy and implement rapid adoption motions.

Module 4: Drive value and maximize the impact of Copilot for Microsoft 365 within your organization

  • Gather feedback from users and stakeholders.
  • Track end user adoption through distribution of surveys.
  • Review and track adoption score and usage reports in the Microsoft 365 admin center.
  • Encourage ongoing engagement of Copilot for Microsoft 365.

Course Overview

Microsoft Copilot for Microsoft 365 applies the power of AI to boost productivity, unlock creativity, and help users understand information better with a simple chat. By integrating large language models (LLMs) with tenant data from Microsoft Graph and the Microsoft 365 apps, Copilot for Microsoft 365 helps turn natural language words into a powerful productivity tool.

Copilot for Microsoft 365 transforms work in three meaningful ways:

  • Unleash creativity. Copilot helps you create content faster and more efficiently.
  • Unlock productivity. Copilot helps you focus on what matters most.
  • Up-level skills. Copilot makes you better at what you’re good at and helps you quickly master what you have yet to learn.

This course has been created by Microsoft as a “Bring Your Own Environment” course, allowing individuals to use their personal devices and settings.  If a student wants to complete the hands-on activities, the individual must bring their own CoPilot environment.  Otherwise, demonstrations and lectures will be conducted by the instructor

Course Objectives

  • Introduction to Copilot for Microsoft 365
  • An executive’s guide to creating effective prompts in Copilot for Microsoft 365
  • Transform executive productivity with Copilot for Microsoft 365

This course is focused on :

  • Empowers executives to leverage Microsoft Copilot to boost productivity and decision-making.
  • Enhances strategic and operational capabilities using AI within Microsoft 365.
  • Provides interactive learning experiences for real-world applications of Copilot.
  • Focuses on streamlining workflows and making data-driven decisions.
  • Prepares leaders to optimize strategic initiatives with Copilot’s AI features.

Course Content

Module 1: Introduction to Copilot for Microsoft 365

This module explores the intricacies of Copilot for Microsoft 365, offering insights into its functionality and Microsoft’s dedication to implementing AI responsibly and ethically.

  • Describe the purpose and functionalities of Copilot for Microsoft 365.
  • Outline the working principles behind Copilot for Microsoft 365.
  • Identify the core components integral to Copilot for Microsoft 365.
  • Articulate Microsoft’s dedication to responsible AI practices.

Module 2: An executive’s guide to crafting effective prompts in Copilot for Microsoft 365

Master the art of crafting effective prompts for Microsoft Copilot for Microsoft 365. This Module is designed to enhance your skills in creating prompts that generate precise and useful results across various Microsoft 365 apps, including Word, PowerPoint, Teams, and Outlook.

  • Understand and apply the principles of crafting effective prompts.
  • Use Copilot Lab to discover and employ pre-made prompts.
  • Efficiently manage your email communications and weekly planning with Copilot in Outlook.
  • Enhance meeting summaries in Teams by highlighting key decisions and action items.

Module 3: Transform executive productivity with Copilot for Microsoft 365

Interact with and explore the capabilities of Copilot for Microsoft 365, and discover how generative AI can enhance your workflow and productivity.

  • Use Microsoft Copilot to synthesize your emails and chats.
  • Use Copilot in Word to create and review documents.
  • Use Copilot in PowerPoint to create and refine presentations.

Course Overview

This course teaches IT Professionals to configure advanced Windows Server services using on-premises, hybrid, and cloud technologies. The course teaches IT Professionals how to leverage the hybrid capabilities of Azure, how to migrate virtual and physical server workloads to Azure IaaS, and how to secure Azure VMs running Windows Server. The course also teaches IT Professionals how to perform tasks related to high availability, troubleshooting, and disaster recovery. The course highlights administrative tools and technologies including Windows Admin Center, PowerShell, Azure Arc, Azure Automation Update Management, Microsoft Defender for Identity, Azure Security Center, Azure Migrate, and Azure Monitor.

Course Objectives

  • Secure Windows Server on-premises and hybrid infrastructures
  • Implement Windows Server high availability
  • Implement disaster recovery in Windows Server on-premises and hybrid environments
  • Migrate servers and workloads in on-premises and hybrid environments
  • Monitor and troubleshoot Windows Server environments

Course Content

Secure Windows Server on-premises and hybrid infrastructures

  • Implement Windows Server IaaS VM network security
  • Audit the security of Windows Server IaaS Virtual Machines
  • Manage Azure updates
  • Create and implement application allowlists with adaptive application control
  • Configure BitLocker disk encryption for Windows IaaS Virtual Machines
  • Implement change tracking and file integrity monitoring for Windows IaaS VMs
  • Secure Windows Server DNS
  • Secure Windows Server user accounts
  • Hardening Windows Server
  • Windows Server update management

Implement Windows Server high availability

  • Introduction to Cluster Shared Volumes
  • Implement Windows Server failover clustering
  • Implement high availability of Windows Server VMs
  • Implement Windows Server File Server high availability
  • Implement scale and high availability with Windows Server VM

Implement disaster recovery in Windows Server on-premises and hybrid environments

  • Implement Hyper-V Replica
  • Implement hybrid backup and recovery with Windows Server IaaS
  • Protect your on-premises infrastructure from disasters with Azure Site Recovery
  • Protect your Azure infrastructure with Azure Site Recovery
  • Protect your virtual machines by using Azure Backup

Migrate servers and workloads in on-premises and hybrid environments

  • Migrate on-premises Windows Server instances to Azure IaaS virtual machines
  • Upgrade and migrate Windows Server IaaS virtual machines
  • Active Directory Domain Services migration
  • Migrate file server workloads using Storage Migration Service
  • Migrate Windows Server roles
  • Containerize and migrate ASP.NET applications to Azure App Service

Monitor and troubleshoot Windows Server environments

  • Monitor Windows Server IaaS Virtual Machines and hybrid instances
  • Monitor your Azure virtual machines with Azure Monitor
  • Monitor Windows Server performance
  • Manage and monitor Windows Server event logs
  • Implement Windows Server auditing and diagnostics
  • Troubleshoot on-premises and hybrid networking
  • Troubleshoot Windows Server Virtual Machines in Azure
  • Troubleshoot Active Directory

Course Overview

The Event Manager component of IBM Cloud Pak for Watson AIOps is a carrier-class service assurance system. It collects and consolidates events and alarms from a wide variety of IT environments in real time. These include servers, mainframes, Windows systems, applications, circuit switches, voice switches, IP routers, SNMP devices, network management applications, existing management systems and frameworks, among many others.

IBM Cloud Pak for Watson AIOps Event Manager also adds intelligence to your events, allowing you to cast a wide net to ingest relevant data from any source, process it in an intelligent, automated way, analyze the data, see which applications or parts of the infrastructure are impacted, share it and even suggest guided steps to mitigate or resolve issues automatically.

One key benefit of Event Manager’s machine learning features is a reduction in the number of events. By detecting, correlating, grouping, and suppressing the “noise” that IT systems generate, your operators can focus their attention on key events that represent actual problems.

This 2-day course teaches you how to configure IBM Cloud Pak for Watson AIOps Event Manager for productive use. Through hands-on lab activities, you learn how to configure a new installation of Event Manager to:

  • Connect to event sources and enrich incoming events
  • Apply machine learning to find relationships among events
  • Add topology data to identify groups of connected resources and calculate root cause
  • Create automated fixes for known problems and match them to incoming problem events

You also get hands-on practice with other common configuration tasks, such as user management and database customization. This course focuses on IBM Cloud Pak for Watson AIOps Event Manager running on the Red Hat OpenShift Container Platform.

Virtual Learning

This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.

Course Objectives

  • Describe the event management capabilities of the IBM Cloud Pak for Watson AIOps
  • Connect Event Manager to incoming data sources
  • Work with Temporal and seasonal event analytics
  • Configure the Event Manager topology service
  • Create scope-based groups
  • Create runbooks and map them to incoming events
  • Work with triggers
  • Manage users

Course Content

  • Course introduction
  • Unit 1. IBM Cloud Pak for Watson AIOps overview
  • Exercise 1. About your lab environment
  • Unit 2. Installing IBM Cloud Pak for Watson AIOps AI Manager
  • Exercise 2. Installing IBM Cloud Pak for Watson AIOps AI Manager
  • Unit 3. Installing IBM Cloud Pak for Watson AIOps Event Manager
  • Exercise 3. Installing IBM Cloud Pak for Watson AIOps Event Manager
  • Unit 4. Installing the Event Manager Gateway
  • Exercise 4. Installing the Event Manager Gateway
  • Course summary

Course Overview

Exclusive – This course teaches Azure administrators how to plan, deliver, and manage virtual desktop experiences and remote apps, for any device, on Azure.

Lessons include implementing and managing networking for Azure Virtual Desktop, configuring host pools and session hosts, creating session host images, implementing, and managing FSLogix, monitoring Azure Virtual Desktop performance and health, and automating Azure Virtual Desktop management tasks. Students will learn through a mix of demonstrations and hands-on lab experiences deploying virtual desktop experiences and apps on Azure Virtual Desktop and optimizing them to run in multi-session virtual environments. Candidates of this course must have solid Azure administration skills. This course assumes prior experience, including virtualization, networking, identity, storage, backup and restore, and disaster recovery. Students should have knowledge of on-premises virtual desktop infrastructure technologies as they relate to migrating to Azure Virtual Desktop. Students are expected to have used the tools common to the Azure environment, such as the Azure PowerShell and Cloud Shell.

Course Objectives

Students will learn to:

  • Plan an Azure Virtual Desktop implementation
  • Implement an Azure Virtual Desktop infrastructure
  • Manage access and security for Azure Virtual Desktop
  • Manage user environments and apps for Azure Virtual Desktop
  • Monitor and maintain an Azure Virtual Desktop infrastructure

Course Content

Plan an Azure Virtual Desktop implementation

  • Azure Virtual Desktop Architecture
  • Design the Azure Virtual Desktop architecture
  • Design for user identities and profiles

Implement an Azure Virtual Desktop infrastructure

  • Implement and manage networking for Azure Virtual Desktop
  • Implement and manage storage for Azure Virtual Desktop.
  • Create and configure host pools and session hosts for Azure Virtual Desktop
  • Create and manage session host image for Azure Virtual Desktop

Manage access and security for Azure Virtual Desktop

  • Manage access for Azure Virtual Desktop
  • Manage security for Azure Virtual Desktop

Manage user environments and apps for Azure Virtual Desktop

  • Implement and manage FSLogix
  • Configure user experience settings
  • Install and configure apps on a session host

Monitor and maintain an Azure Virtual Desktop infrastructure

  • Monitor and manage performance and health
  • Plan and implement updates, backups, and disaster recovery

Course Overview

This course teaches Azure administrators and Azure Stack Hub operators how to plan, deploy, package, update, and maintain the Azure Stack Hub infrastructure. Lessons cover deploying Azure Stack Hub, managing the Azure Stack Hub Marketplace, offering App Services and Event Hub resource providers, managing Azure Stack Hub registration, and maintaining system health.

Course Objectives

Upon completion of this course, students will

know how to:

• Prepare for Azure Stack Hub deployment

• Manage infrastructure certificates for Azure

Stack Hub

• Manage Azure Stack Hub registration

• Configure an Azure Stack Hub home directory

• Provision a service principal for Azure Stack

Hub

• Recommend a business continuity disaster

recovery (BCDR) strategy

• Manage Azure Stack Hub by using privileged

endpoints

• Manage Azure Stack Hub Marketplace

• Offer App Services and Event Hub resource

providers

• Manage usage and billing

Course Content

HQ7A0S (hpe.com)


Course Overview


Get started with Microsoft Sentinel security operations by configuring the Microsoft Sentinel workspace, connecting Microsoft services and Windows security events to Microsoft Sentinel, configuring Microsoft Sentinel analytics rules, and responding to threats with automated responses.

Course Content

Module 1 : Create and manage Microsoft Sentinel workspaces

Learn about the architecture of Microsoft Sentinel workspaces to ensure you configure your system to meet your organization’s security operations requirements.

  • Introduction
  • Plan for the Microsoft Sentinel workspace
  • Create a Microsoft Sentinel workspace
  • Manage workspaces across tenants using Azure Lighthouse
  • Understand Microsoft Sentinel permissions and roles
  • Manage Microsoft Sentinel settings
  • Configure logs
  • Knowledge check
  • Summary and resources

Module 2: Connect Microsoft services to Microsoft Sentinel

  • Learn how to connect Microsoft 365 and Azure service logs to Microsoft Sentinel.
  • Introduction
  • Plan for Microsoft services connectors
  • Connect the Microsoft Office 365 connector
  • Connect the Microsoft Entra connector
  • Connect the Microsoft Entra ID Protection connector
  • Connect the Azure Activity connector
  • Knowledge check
  • Summary and resources

Module 3: Connect Windows hosts to Microsoft Sentinel

One of the most common logs to collect is Windows security events. Learn how Microsoft Sentinel makes this easy with the Security Events connector.

  • Introduction
  • Plan for Windows hosts security events connector
  • Connect using the Windows Security Events via AMA Connector
  • Connect using the Security Events via Legacy Agent Connector
  • Collect Sysmon event logs
  • Knowledge check
  • Summary and resources

Module 4: Threat detection with Microsoft Sentinel analytics

In this module, you learned how Microsoft Sentinel Analytics can help the SecOps team identify and stop cyber attacks.

  • Introduction
  • Exercise – Detect threats with Microsoft Sentinel analytics
  • What is Microsoft Sentinel Analytics?
  • Types of analytics rules
  • Create an analytics rule from templates
  • Create an analytics rule from wizard
  • Manage analytics rules
  • Exercise – Detect threats with Microsoft Sentinel analytics
  • Summary

Module 5: Automation in Microsoft Sentinel

By the end of this module, you’ll be able to use automation rules in Microsoft Sentinel to automated incident management.

  • Introduction
  • Understand automation options
  • Create automation rules
  • Knowledge check
  • Summary and resources

Module 6: Configure SIEM security operations using Microsoft Sentinel

In this module, you learned how to configure SIEM security operations using Microsoft Sentinel.

  • Introduction
  • Exercise – Configure SIEM operations using Microsoft Sentinel
  • Exercise – Install Microsoft Sentinel Content Hub solutions and data connectors
  • Exercise – Configure a data connector Data Collection Rule
  • Exercise – Perform a simulated attack to validate the Analytic and Automation rules
  • Summary