Practical AI Use in Leadership
Practical AI Use in Leadership
This course is part of Microsoft Leadership and Innovation Professional Certificate
Instructor: Microsoft
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What you'll learn
Use Microsoft Copilot to support, but not replace, leadership decision-making
Interpret Copilot-generated insights responsibly and critically
Apply ethical, feasibility, and strategic judgment aligned with Microsoft Responsible AI principles
Learn from outcomes to continuously improve Copilot-supported decisions
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June 2026
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There are 4 modules in this course
Practical AI Use in Leadership prepares you to use Microsoft Copilot as a decision support capability while retaining judgment and accountability. Leaders are expected to expand insight responsibly without outsourcing critical thinking.
You will practice framing open-ended leadership decisions, interpreting Copilot-generated insights, and evaluating ethical, feasibility, and reputational risks. The course follows the leadership decision lifecycle: frame β interpret β judge β learn. AI is positioned as a capability amplifierβnot a substitute for responsibility. You will assess assumptions, articulate trade-offs, and evaluate outcomes in alignment with Microsoft Responsible AI principles. By the end of this course, you will be able to integrate AI-supported insight into leadership workflows responsibly, support structured decision-making, and demonstrate ownership of outcomes in AI-supported environments.
This module develops the ability to frame ambiguous business situations into decision-ready problems and use Microsoft Copilot to explore strategic options. Emphasis is placed on leadership ownership of framing and assumptions, rather than treating Copilot output as an answer.
What's included
3 videos1 reading1 assignment
3 videosβ’Total 17 minutes
- Why Microsoft leaders own decision framing (even with Copilot)β’4 minutes
- Decision-ready problem statements for Copilot useβ’6 minutes
- Using Copilot to explore strategic optionsβ’7 minutes
1 readingβ’Total 10 minutes
- Framing leadership decisions for Copilot at Microsoftβ’10 minutes
1 assignmentβ’Total 30 minutes
- Framing decisions effectively with Copilotβ’30 minutes
This module focuses on interpreting Copilot-generated outputs and data summaries and translating them into leadership insight. Learners practice separating signal from noise and constructing narratives that support Microsoft leadership judgment rather than replacing it.
What's included
3 videos1 reading2 assignments
3 videosβ’Total 15 minutes
- Strengthening leadership judgment with Copilotβ’3 minutes
- Interpreting Copilot-generated signalsβ’6 minutes
- From Copilot output to strategic hypothesesβ’6 minutes
1 readingβ’Total 10 minutes
- Turning Copilot output into Microsoft leadership narrativesβ’10 minutes
2 assignmentsβ’Total 45 minutes
- Translating Copilot insight into leadership judgmentβ’30 minutes
- Interpreting Copilot-driven insightβ’15 minutes
This module develops leadership judgment when Copilot recommendations raise ethical, feasibility, or reputational concerns. Learners evaluate Copilot-supported options through Microsoftβs Responsible AI principles and decide when to proceed, adapt, or pause.
What's included
3 videos1 reading1 assignment
3 videosβ’Total 14 minutes
- Why Microsoft leaders retain accountability when using Copilotβ’3 minutes
- Common risk and bias patterns in Copilot outputsβ’5 minutes
- Applying leadership judgment to Copilot recommendationsβ’6 minutes
1 readingβ’Total 10 minutes
- Responsible AI judgment for Copilot use at Microsoftβ’10 minutes
1 assignmentβ’Total 30 minutes
- Exercising judgment with Copilotβ’30 minutes
This module focuses on evaluating outcomes of Copilot-supported decisions and turning results into learning. Learners practice reviewing variance, refining metrics, and improving future Copilot use in line with Microsoftβs growth mindset.
What's included
3 videos1 reading3 assignments
3 videosβ’Total 16 minutes
- Why Microsoft leaders must learn from Copilot-supported outcomesβ’3 minutes
- Measuring outcomes beyond Copilot activityβ’6 minutes
- Conducting leadership outcome reviewsβ’6 minutes
1 readingβ’Total 10 minutes
- Outcome evaluation and learning loops for Copilot useβ’10 minutes
3 assignmentsβ’Total 120 minutes
- Learning from Copilot-supported decisionsβ’30 minutes
- Portfolio project: Copilot-supported leadership decision reviewβ’75 minutes
- Evaluating Copilot-supported outcomesβ’15 minutes
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Frequently asked questions
This Advanced Professional Certificate is designed for experienced professionals who are currently leading teams, projects, or cross-functional initiatives and want to strengthen leadership judgment, innovation capability, and execution discipline. It is ideal for managers preparing for expanded scope, greater accountability, or broader leadership responsibility within complex, collaborative organizations.
Learners should have experience leading projects or teams and familiarity with basic business strategy concepts. Experience working in collaborative, matrixed environments and using Microsoft workplace tools is recommended. This program builds on existing leadership responsibility rather than introducing entry-level management concepts.
No coding or technical AI development experience is required. The program focuses on responsible AI-supported leadership decision-making using Microsoft Copilot as a decision-support tool. Emphasis is placed on judgment, ethical evaluation, and execution discipline rather than programming or model development.
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ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.
