AB-731: Microsoft AI Transformation Leader

Get an overview of what comes next in the course as we move from foundational AI concepts into Microsoft Copilot, Microsoft 365 Copilot, Copilot Studio, and Microsoft Foundry.

Get introduced to Microsoft 365 Copilot, including what it is, how it works across Microsoft 365 apps, and how it helps users improve productivity in everyday business tasks.

Learn how to begin working with Microsoft 365 and understand the environment that will be used for the Copilot-related demonstrations in the course.

Walk through the process of subscribing to Microsoft 365 Business Standard trial licenses and setting up the required Microsoft 365 environment for course labs.

Continue the Microsoft 365 setup process by completing the registration steps required to access the tenant and begin configuring users and services.

Get a quick overview of the Microsoft 365 Admin center and understand how administrators can manage users, licenses, settings, and services from a central location.

Learn how to create a new user in the Microsoft 365 tenant, which is useful for demonstrating Copilot features, collaboration scenarios, and organization-based workflows.

Explore Microsoft 365 Copilot Chat and understand how users can interact with Copilot to ask questions, generate content, summarize information, and improve productivity.

Understand how security and enterprise data protection apply to Microsoft 365 Copilot, including how organizational data is protected when users interact with Copilot.

Walk through the process of subscribing to Microsoft Business Premium and the Copilot trial so that the required features can be enabled for hands-on demonstrations.

Learn how to assign Microsoft 365 and Copilot licenses to users so they can access the required Copilot features within the Microsoft 365 environment.

Explore the Microsoft 365 Copilot app experience and understand how Copilot brings together chat, content generation, app integration, and organizational context.

Learn how Microsoft 365 Copilot can work with organization documents and use available business content to help users summarize, analyze, and generate useful responses.

See how Copilot can be used in Outlook to summarize email threads, identify action items, draft responses, and improve email productivity.

Learn how Copilot can assist in Microsoft Word by helping draft documents, rewrite content, summarize information, and improve the overall document creation process.

Understand what agents are in Microsoft Copilot, how they extend Copilot capabilities, and how they can help users complete more focused business tasks.

Explore the Analyst Agent in Microsoft 365 Copilot and learn how it can help analyze data, identify trends, and generate insights from business information.

Learn how the Researcher Agent can help gather, analyze, and organize information to support research, planning, and business decision-making tasks.

Get introduced to Microsoft Copilot Studio and understand how it can be used to create, customize, and manage agents for business scenarios.

This chapter just looks into Copilot connectors within Copilot Studio

Walk through the process of building a simple agent in Microsoft Copilot Studio and understand the key steps involved in creating a useful business-focused agent.

Get introduced to Microsoft Foundry and understand how it provides tools and services for building, deploying, and managing AI-powered applications and solutions.

Understand Azure as a cloud computing platform and learn why it is important for hosting, managing, and scaling modern AI and application workloads.

Walk through the process of creating an Azure free account, which will be used to access Azure services and explore Microsoft Foundry tools.

Learn how to get started with Microsoft Foundry, including accessing the portal, exploring the interface, and understanding the available AI development options.

Learn how to deploy a model in Microsoft Foundry and understand the basic steps involved in making a model available for use in AI applications

Explore Azure AI Vision within Microsoft Foundry and understand how vision capabilities can be used to analyze images and extract useful information.

Learn how Azure Language can be used to perform sentiment analysis and identify whether text expresses positive, negative, neutral, or mixed sentiment.

Explore named entity recognition using Azure Language and learn how AI can identify people, places, organizations, dates, and other important entities in text.

Learn how Azure Language can detect personally identifiable information in text and help organizations identify sensitive information that may need protection.

Explore Translator and Speech services in Microsoft Foundry, including how AI can translate text and work with speech-based input and output.

Learn what Azure Document Intelligence is and how it can be used to extract structured information from documents, forms, receipts, and other business files.

Learn how to delete Azure resources after completing the demonstrations to avoid unnecessary charges and keep the Azure environment clean.

Get introduced to Azure Machine Learning and understand how it helps data scientists and developers build, train, manage, and deploy machine learning models.

Learn the typical workflow of a machine learning project, including preparing data, training models, evaluating performance, and deploying the final solution.

Understand the role of content filtering in Microsoft Foundry and how it helps detect and manage potentially harmful or inappropriate AI-generated content.

Learn the key considerations for adopting AI in an organization, including planning, governance, training, use case selection, and long-term implementation strategy.

Understand how the Copilot Control System supports security, governance, compliance, and administrative control when organizations adopt Microsoft Copilot.

Learn what an AI Center of Excellence is and how it helps organizations guide AI adoption, define best practices, support teams, and scale AI initiatives responsibly.

Understand the main cost factors when using models in Microsoft Foundry, including model selection, input tokens, output tokens, and usage-based pricing considerations.

Learn what Azure AI Search is and how it helps organizations build search experiences over their data, especially when combined with AI services and retrieval-based solutions.