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Microsoft AI for Business Leaders (AI-3017)

This half-day course introduces business leaders to the opportunities, challenges, and strategic considerations of adopting Artificial Intelligence within their organizations.

Duration · Half dayVirtual + In-PersonInstructor-Led

Course Description

This half-day course introduces business leaders to the opportunities, challenges, and strategic considerations of adopting Artificial Intelligence within their organizations. Participants will learn how Microsoft AI solutions can improve productivity, support innovation, enhance decision-making, and create measurable business value while maintaining responsible governance and oversight.

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Audience Profile

This course is intended for:

  • Executives
  • Business Leaders
  • Directors
  • Managers
  • Department Heads
  • Digital Transformation Leaders
  • Decision Makers

Prerequisites

Before enrolling, you should have:

  • None

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Course Outline

Module 1

AI Fundamentals for Business Leaders (45 Minutes)

  • What is Artificial Intelligence?
  • Generative AI vs. Traditional AI
  • Understanding Large Language Models (LLMs)
  • Microsoft AI Ecosystem Overview
  • Microsoft Copilot
  • Microsoft 365 Copilot
  • Azure AI Services
  • Azure OpenAI Service
  • AI Trends Impacting Business
  • Discussion: How organizations are using AI today

Module 2

Driving Business Value with AI (75 Minutes)

  • Business Use Cases for AI
  • Productivity and Efficiency
  • Customer Service
  • Knowledge Management
  • Data Analysis and Decision Support
  • Building an AI Business Case
  • Measuring Success and ROI
  • AI Adoption Considerations
  • Change Management and Workforce Readiness
  • Interactive Exercise
  • Identifying AI Opportunities Within Your Organization

Module 3

Responsible AI and Governance (45 Minutes)

  • Responsible AI Fundamentals
  • Fairness
  • Reliability and Safety
  • Privacy and Security
  • Transparency
  • Accountability
  • AI Risk Management
  • Data Governance Considerations
  • Establishing AI Policies and Oversight
  • Group Discussion: AI governance challenges and best practices

Module 4

Building an AI Strategy and Roadmap (45 Minutes)

  • Creating an AI Vision
  • Prioritizing AI Projects
  • Pilot Programs and Quick Wins
  • Scaling AI Across the Enterprise
  • Executive Leadership's Role in AI Success
  • Future AI Trends
  • Interactive Exercise
  • AI Strategy Planning Workshop
  • Course Wrap-Up and Executive Action Plan (30 Minutes)

The Big Picture

Key Takeaways

  • Understanding AI opportunities and limitations
  • Creating business value with AI
  • Implementing responsible AI governance
  • Developing an AI adoption strategy
  • Preparing the workforce for AI transformation

Note: Course outlines are provided as a general guide. Content, pacing, labs, and instructional emphasis may vary based on instructor expertise, student experience levels, and customer-specific learning objectives.

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