Strategic Leadership in the Era of AI and Advanced Machine Learning Course
Overview
Focus on the organizational and strategic side of AI — the frameworks, the decisions, and the leadership approaches that determine whether AI initiatives gain traction or stall before they deliver value. With AI transforming how organizations compete, operate, and allocate resources, mid-level managers and functional leaders need the ability to evaluate opportunities, drive adoption, and align people and strategy around a common direction. This starts not with building AI systems, but with understanding how to lead the humans and organizations navigating the transformation.
Many managers today find themselves caught between senior leadership pushing for faster AI adoption and frontline teams that are resistant, skeptical, or simply underprepared. Those who understand how to bridge that gap — evaluating AI opportunities strategically, overcoming organizational resistance, and scaling initiatives responsibly — have the ability not only to drive successful implementation in the short term, but to build the organizational capability that sustains competitive advantage over time.
In this four-week 100% online course, you’ll explore how AI and advanced machine learning are reshaping organizational strategy, cross-functional operations, and the role of the manager in driving technology-enabled transformation. You’ll develop structured frameworks for evaluating AI opportunities, planning and implementing change, and navigating the bias and resistance that derail most AI initiatives before they reach scale. Discover practical approaches for scaling AI across teams and functions — through real-world scenarios that reflect the complexity and competing pressures managers face every day.
What You’ll Learn
AI Transformation, Strategy, and Organizational Barriers
- How AI and advanced machine learning are reshaping organizational strategy and competitive positioning
- The strategic implications of AI across industries and business functions
- How to use structured frameworks to assess and communicate AI strategy to leadership and stakeholders
- How to identify the key organizational barriers that most commonly obstruct AI adoption
Planning and Implementing AI-Driven Change
- How to analyze business problems to determine where AI may be an appropriate solution
- How to evaluate implementation approaches and their constraints
- How to apply structured change management frameworks to plan and support AI adoption
- Why process transformation should follow a logical, step-by-step progression — and what happens when it doesn’t
Overcoming Bias and Resistance in AI Adoption
- The management and organizational biases that most commonly influence AI-related decisions
- How to identify and analyze resistance patterns across different stakeholder groups
- Strategies for building alignment and overcoming hesitation at multiple levels of the organization
- How to turn skeptics into advocates and maintain momentum when progress stall
Scaling and Sustaining AI Initiatives
- Approaches for scaling AI initiatives beyond initial implementation across teams and functions
- How to establish governance structures and performance frameworks for sustained AI adoption
- Strategies to support continuous improvement and ongoing organizational adaptation
- How to build a culture of innovation and experimentation that keeps pace with evolving AI capabilities
Who Should Register?
This course is designed for mid-level and functional managers who are responsible for leading AI initiatives, driving cross-functional change, or aligning their teams with organizational AI strategy — and who need a structured, practical approach to do it effectively. With its focus on strategy, change management, and organizational leadership in AI-driven environments, the course helps managers build the skills to evaluate AI opportunities, overcome resistance, and scale initiatives that deliver lasting results. No technical background is required.
Curriculum
4 Week Course
AI Transformation, Strategy, and Organizational Barriers
- How AI and Advanced Machine Learning Are Reshaping Organizational Strategy
- The Strategic Implications of AI Across Industries and Business Functions
- Using Structured Frameworks to Assess and Communicate AI Strategy
- Identifying Key Organizational Barriers to AI Adoption
- Evaluating AI Opportunities Using Business and Strategic Criteria
- Aligning People, Processes, and Technology with AI-Driven Goals
- Understanding the Competitive Impact of AI on Business Performance
Planning and Implementing AI-Driven Change
- Identifying Business Problems Suited for AI Solutions
- Evaluating Implementation Approaches and Their Constraints
- Pilot Thinking: How to Design and Scope an AI Initiative
- Structured Change Management Frameworks for AI Adoption
- Step-by-Step Process Transformation: A Logical Progression
- Building the Business Case for an AI Initiative
- Managing Stakeholder Expectations During Implementation
- Measuring Progress and Adjusting Plans in Real Time
Overcoming Bias and Resistance in AI Adoption
- Management and Organizational Biases That Influence AI Decisions
- Cognitive Biases and How They Shape Technology Adoption
- Sources of Resistance: Perception, Risk Aversion, and Prior Experience
- Analyzing Resistance Patterns Across Different Stakeholder Groups
- Building Stronger Cases for Change at Every Level of the Organization
- Strategies for Creating Alignment and Overcoming Hesitation
- Leading Through Uncertainty: Maintaining Momentum When Progress Stalls
- From Resistance to Advocacy: Turning Skeptics Into Champions
Scaling and Sustaining AI Initiatives
- Approaches for Scaling AI Beyond Initial Implementation
- Expanding AI Across Teams, Functions, and the Broader Organization
- Governance Structures for Responsible and Accountable AI Adoption
- Risk Management and Performance Frameworks for Sustained AI Use
- Continuous Improvement and Organizational Learning in AI Environments
- Supporting Ongoing Adaptation as AI Capabilities and Tools Evolve
- Building a Culture of Innovation and Experimentation Around AI
- Looking Ahead: Leading Organizations Through Continuous Technological Change
If you’re going to pay by credit card, you can either get started with installment payments or pay in full. Just let your enrollment representative know the option that work best for you.
Corporate and Military Tuition Assistance
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Corporate and Military TA
Corporate tuition assistance is paid by your employer. You will need to provide appropriate forms for processing, prior to enrollment. Air Force tuition assistance is available for active-duty service members. You will need to provide a valid military tuition assistance voucher. Both TA options are subject to employer benefit policies.
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Deferred Corporate TA
Pay tuition now and have your employer reimburse you. Additional documentation will be needed to process this payment. Subject to employer benefit policies.
Military Benefits
Active Duty
Michigan State offers a 15% savings, per certificate course, to active-duty servicemembers, Guardsmen and Reservists (upon verification of military status).
Veterans
Michigan State offers a 15% savings, per certificate course to veterans (upon verification of military status).
Spouses and Family
Michigan State offers a 15% savings, per certificate course, to active-duty servicemembers, veterans, Guardsmen, Reservists and their spouses and dependents (upon verification of military status).
If you are interested in learning more about the steps you need to complete payment, please contact a Student Success Representative. This reduction is valid off the standard tuition fee rate of the listed courses offered by Michigan State University with online administration by Bisk. This reduction is not stackable with other reductions, and you may not use this reduction in conjunction with other reductions.
