AI Business Transformation for Executives with Microsoft AI

Course: 1051

Learn how to apply Microsoft AI technologies to drive your enterprise modernization and business transformation.  Microsoft Copilot, AI agents, generative AI solutions, organizational readiness, responsible AI, and business process transformation strategies while learning how AI integrates across Dynamics 365, Microsoft 365, Power Platform, Azure AI, and Microsoft Fabric.

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  • Duration: 3 days
  • Price: $595.00
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AI Business Transformation for Executives with Microsoft AI

AI-3018: Copilot Foundations Training Course Dynamics Edge

AI Business Transformation for Executives with Microsoft AI

Course Description

This 3-day executive-focused course is designed for business leaders, transformation executives, program managers, and decision-makers seeking to understand how Microsoft AI technologies can drive enterprise modernization and business transformation. The course combines concepts from Microsoft AI fundamentals, generative AI, Microsoft 365 Copilot, and organizational transformation frameworks to help leaders identify AI opportunities, govern AI initiatives, and accelerate business outcomes using Microsoft technologies.

Students will explore Microsoft Copilot, AI agents, generative AI solutions, organizational readiness, responsible AI, and business process transformation strategies while learning how AI integrates across Dynamics 365, Microsoft 365, Power Platform, Azure AI, and Microsoft Fabric.


Audience Profile

  • Executives and Business Leaders
  • CIOs, CTOs, and IT Directors
  • Transformation and Innovation Leaders
  • Dynamics 365 Program Managers
  • Enterprise Architects
  • Government and Federal Leaders
  • Business Analysts and Strategy Teams

Skills Gained

After completing this course, students will be able to:

  • Understand Microsoft AI and Copilot technologies
  • Identify enterprise AI transformation opportunities
  • Develop AI adoption and governance strategies
  • Evaluate AI business use cases and ROI
  • Understand agentic AI and intelligent automation
  • Plan secure and responsible AI initiatives
  • Align Microsoft AI technologies to business transformation goals

Course Prerequisites

  • General understanding of business operations
  • Familiarity with Microsoft business applications helpful but not required
  • Basic awareness of AI and digital transformation concepts

Day 1 – Microsoft AI Foundations & Business Transformation

Module 1: Introduction to AI Business Transformation

Topics

  • Understanding AI-enabled business transformation
  • Evolution of generative AI and enterprise AI
  • Microsoft AI ecosystem overview
  • Business value and strategic outcomes of AI

Subtopics

  1. Defining AI transformation in modern organizations
  2. How AI changes business operations and decision-making
  3. Microsoft AI platform overview
  4. Real-world enterprise AI transformation examples

Module 2: Introduction to Microsoft AI Technologies

Topics

  • Microsoft AI services and architecture
  • Generative AI and large language models
  • Microsoft Copilot ecosystem
  • AI-powered business applications

Subtopics

  1. Azure AI, OpenAI, and Copilot technologies
  2. Understanding prompts, context, and grounding
  3. AI integrations across Microsoft products
  4. AI-powered productivity and automation scenarios

Module 3: Responsible AI, Security & Governance

Topics

  • Responsible AI principles
  • AI governance frameworks
  • Data security and compliance
  • Ethical AI implementation

Subtopics

  1. Microsoft Responsible AI framework
  2. AI governance and policy planning
  3. Data privacy, compliance, and security considerations
  4. Managing AI risk in enterprise environments

Module 4: Identifying High-Value AI Business Opportunities

Topics

  • AI use case discovery
  • Business process analysis
  • AI readiness assessment
  • Measuring AI business value

Subtopics

  1. Identifying repetitive and automatable processes
  2. AI opportunities across departments
  3. Evaluating organizational AI maturity
  4. Measuring ROI and transformation outcomes

Day 2 – Copilot, AI Agents & Intelligent Automation

Module 5: Microsoft 365 Copilot for Executives

Topics

  • Microsoft 365 Copilot capabilities
  • AI productivity transformation
  • Copilot adoption strategies
  • Executive AI use cases

Subtopics

  1. Copilot in Word, Excel, Outlook, and Teams
  2. AI-assisted communication and collaboration
  3. Executive productivity with AI
  4. Secure deployment and governance of Copilot

Module 6: AI Agents & Agentic AI Concepts

Topics

  • Introduction to AI agents
  • Agentic AI business scenarios
  • Autonomous workflow automation
  • Multi-agent collaboration

Subtopics

  1. Understanding AI agents and orchestration
  2. Business use cases for intelligent agents
  3. Agentic workflows and task automation
  4. Future trends in autonomous business systems

Module 7: Intelligent Automation with Power Platform & Copilot Studio

Topics

  • Power Platform automation
  • Copilot Studio overview
  • AI-powered workflows
  • Low-code AI solutions

Subtopics

  1. Power Automate and AI integration
  2. Building copilots with Copilot Studio
  3. AI workflow orchestration scenarios
  4. Automating approvals, communications, and operations

Module 8: AI Transformation Across Business Functions

Topics

  • AI in finance and operations
  • AI-driven customer engagement
  • AI for workforce productivity
  • AI-enabled decision intelligence

Subtopics

  1. AI scenarios in Dynamics 365 ERP
  2. AI-powered customer service and CRM
  3. Workforce transformation with Microsoft 365 AI
  4. AI-driven analytics and insights with Fabric and Power BI

Day 3 – Enterprise AI Strategy, Adoption & Transformation Planning

Module 9: Building an Enterprise AI Strategy

Topics

  • AI transformation roadmaps
  • Organizational readiness
  • AI operating models
  • Aligning AI to business goals

Subtopics

  1. Creating an AI transformation vision
  2. Prioritizing AI initiatives and investments
  3. Defining AI governance and operating models
  4. Aligning stakeholders and leadership teams

Module 10: Change Management & AI Adoption

Topics

  • Managing organizational change
  • AI workforce readiness
  • Training and adoption strategies
  • Building an AI culture

Subtopics

  1. Addressing employee concerns and resistance
  2. Upskilling and AI workforce enablement
  3. AI adoption communication strategies
  4. Creating a culture of innovation and experimentation

Module 11: Secure AI for Enterprise & Government

Topics

  • AI security architecture
  • Compliance and regulatory frameworks
  • Secure AI implementation
  • AI in regulated industries

Subtopics

  1. AI security best practices
  2. Microsoft security and compliance tools
  3. Secure AI in GCC, GCC High, and Federal environments
  4. Governance for regulated and sensitive environments

Module 12: Executive AI Transformation Workshop

Topics

  • AI transformation planning
  • Business use case development
  • AI roadmap creation
  • Executive strategy presentations

Subtopics

  1. Developing an AI transformation roadmap
  2. Defining business outcomes and KPIs
  3. Identifying technology and organizational requirements
  4. Executive presentation and strategy review

Labs & Workshops

  • AI Use Case Discovery Workshop
  • Copilot Executive Productivity Exercises
  • AI Governance Planning Workshop
  • AI Transformation Roadmap Development
  • Executive AI Strategy Presentation

Technologies Covered

  • Microsoft Copilot
  • Microsoft 365 Copilot
  • Azure AI
  • Azure OpenAI Service
  • Microsoft Fabric
  • Power Platform
  • Copilot Studio
  • Dynamics 365 AI capabilities
  • Power BI
  • Microsoft Security & Compliance tools

Related Microsoft Course Foundations

  • AI-900: Microsoft Azure AI Fundamentals
  • AI-3016: Develop Generative AI Apps in Azure
  • MS-4004: Empower your workforce with Microsoft 365 Copilot Use Cases
  • AB-7001: Introduction to Business Transformation with AI

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