Executive Leadership Development Workshop
This course is designed to arm C-suite leaders with the knowledge, tools, and ethical frameworks necessary to navigate the rapidly changing business landscape. Focusing on artificial intelligence (AI), future-proofing strategies, and the dynamics of growth and scale, this program integrates leadership doctrine with cutting-edge strategy methodologies.
By the end of this course, participants will be eligible to test for the Certified Organizational Strategy Professional credential, depending on their focus, demonstrating their readiness to lead with purpose, agility, and insight. All participants who complete the course will earn the Organizational AI Strategy Micro Credential.
Part 1: Foundations of Strategic Leadership in the AI Era
Objective: Build a strong foundation in strategic thinking, emphasizing ethical considerations and AI's transformative role.
Module 1: The Role of Strategy in the 21st Century
Learning Goals:
Define strategy as a profession and its relevance in today’s economy.
Recognize the influence of AI on strategic decision-making.
Activities:
Lecture on historical and modern strategy practices.
Discussion: How AI disrupts traditional strategic frameworks.
Reading:
Leadership: The Greatest Profession on Earth by Mark Nitz.
Practical Exercise: Case study analysis on companies leveraging AI for competitive advantage.
Certification Options: Certified Corporate Strategy Professional.
Module 2: Ethical Leadership and AI
Learning Goals:
Understand the ethical implications of AI in leadership and decision-making.
Develop a framework for ethical AI integration.
Activities:
Workshop: Identifying ethical dilemmas in AI use cases.
Group discussions on balancing profitability and societal responsibility.
Reading: Critical Thinking Is About Asking Better Questions.
Practical Exercise: Role-playing ethical decision-making scenarios.
Part 2: Core Competencies for Scalable Leadership and Growth
Objective: Equip leaders with tools to foster innovation, manage risk, and scale effectively.
Module 3: Scaling Strategies in a Digital Economy
Learning Goals:
Assess organizational readiness for scale.
Leverage AI to optimize operations and enhance agility.
Activities:
Strategic mapping workshops for scale.
Simulation: AI-driven supply chain optimization.
Reading: Keep Strategy Simple by Graham Kenny.
Module 4: Risk Management in the Age of AI
Learning Goals:
Implement risk management frameworks that account for AI-driven uncertainties.
Communicate risks effectively across organizational tiers.
Activities:
Develop and test risk mitigation plans.
Case study: AI model failures and corporate resilience.
Part 3: Advanced Decision-Making and Strategic Foresight
Objective: Enhance decision-making capabilities through critical thinking and AI-based forecasting.
Module 5: Data-Driven Leadership
Learning Goals:
Integrate AI insights into decision-making processes.
Understand the limitations and biases of AI tools.
Activities:
Workshop: Building dashboards for executive decision support.
Scenario planning: How to pivot based on AI forecasts.
Module 6: Continuous Learning and Adaptability
Learning Goals:
Cultivate a mindset of lifelong learning in leadership.
Build teams that adapt to technological advancements.
Activities:
Coaching sessions on personal leadership growth.
Develop a continuous learning plan for executive teams.
Reading: Leadership Doctrine.
Unique Value of the Course
AI-Centric: Directly addresses AI's role in decision-making, operational efficiency, and competitive strategy.
Ethics-Driven: Ensures leaders are equipped to make morally sound decisions in complex environments.
Scalable Frameworks: Teaches how to sustain growth while managing the intricacies of large organizations.
Future-Ready: Positions leaders to anticipate and adapt to shifts in technology, markets, and stakeholder expectations.
This course is designed to arm C-suite leaders with the knowledge, tools, and ethical frameworks necessary to navigate the rapidly changing business landscape. Focusing on artificial intelligence (AI), future-proofing strategies, and the dynamics of growth and scale, this program integrates leadership doctrine with cutting-edge strategy methodologies.
By the end of this course, participants will be eligible to test for the Certified Organizational Strategy Professional credential, depending on their focus, demonstrating their readiness to lead with purpose, agility, and insight. All participants who complete the course will earn the Organizational AI Strategy Micro Credential.
Part 1: Foundations of Strategic Leadership in the AI Era
Objective: Build a strong foundation in strategic thinking, emphasizing ethical considerations and AI's transformative role.
Module 1: The Role of Strategy in the 21st Century
Learning Goals:
Define strategy as a profession and its relevance in today’s economy.
Recognize the influence of AI on strategic decision-making.
Activities:
Lecture on historical and modern strategy practices.
Discussion: How AI disrupts traditional strategic frameworks.
Reading:
Leadership: The Greatest Profession on Earth by Mark Nitz.
Practical Exercise: Case study analysis on companies leveraging AI for competitive advantage.
Certification Options: Certified Corporate Strategy Professional.
Module 2: Ethical Leadership and AI
Learning Goals:
Understand the ethical implications of AI in leadership and decision-making.
Develop a framework for ethical AI integration.
Activities:
Workshop: Identifying ethical dilemmas in AI use cases.
Group discussions on balancing profitability and societal responsibility.
Reading: Critical Thinking Is About Asking Better Questions.
Practical Exercise: Role-playing ethical decision-making scenarios.
Part 2: Core Competencies for Scalable Leadership and Growth
Objective: Equip leaders with tools to foster innovation, manage risk, and scale effectively.
Module 3: Scaling Strategies in a Digital Economy
Learning Goals:
Assess organizational readiness for scale.
Leverage AI to optimize operations and enhance agility.
Activities:
Strategic mapping workshops for scale.
Simulation: AI-driven supply chain optimization.
Reading: Keep Strategy Simple by Graham Kenny.
Module 4: Risk Management in the Age of AI
Learning Goals:
Implement risk management frameworks that account for AI-driven uncertainties.
Communicate risks effectively across organizational tiers.
Activities:
Develop and test risk mitigation plans.
Case study: AI model failures and corporate resilience.
Part 3: Advanced Decision-Making and Strategic Foresight
Objective: Enhance decision-making capabilities through critical thinking and AI-based forecasting.
Module 5: Data-Driven Leadership
Learning Goals:
Integrate AI insights into decision-making processes.
Understand the limitations and biases of AI tools.
Activities:
Workshop: Building dashboards for executive decision support.
Scenario planning: How to pivot based on AI forecasts.
Module 6: Continuous Learning and Adaptability
Learning Goals:
Cultivate a mindset of lifelong learning in leadership.
Build teams that adapt to technological advancements.
Activities:
Coaching sessions on personal leadership growth.
Develop a continuous learning plan for executive teams.
Reading: Leadership Doctrine.
Unique Value of the Course
AI-Centric: Directly addresses AI's role in decision-making, operational efficiency, and competitive strategy.
Ethics-Driven: Ensures leaders are equipped to make morally sound decisions in complex environments.
Scalable Frameworks: Teaches how to sustain growth while managing the intricacies of large organizations.
Future-Ready: Positions leaders to anticipate and adapt to shifts in technology, markets, and stakeholder expectations.
This course is designed to arm C-suite leaders with the knowledge, tools, and ethical frameworks necessary to navigate the rapidly changing business landscape. Focusing on artificial intelligence (AI), future-proofing strategies, and the dynamics of growth and scale, this program integrates leadership doctrine with cutting-edge strategy methodologies.
By the end of this course, participants will be eligible to test for the Certified Organizational Strategy Professional credential, depending on their focus, demonstrating their readiness to lead with purpose, agility, and insight. All participants who complete the course will earn the Organizational AI Strategy Micro Credential.
Part 1: Foundations of Strategic Leadership in the AI Era
Objective: Build a strong foundation in strategic thinking, emphasizing ethical considerations and AI's transformative role.
Module 1: The Role of Strategy in the 21st Century
Learning Goals:
Define strategy as a profession and its relevance in today’s economy.
Recognize the influence of AI on strategic decision-making.
Activities:
Lecture on historical and modern strategy practices.
Discussion: How AI disrupts traditional strategic frameworks.
Reading:
Leadership: The Greatest Profession on Earth by Mark Nitz.
Practical Exercise: Case study analysis on companies leveraging AI for competitive advantage.
Certification Options: Certified Corporate Strategy Professional.
Module 2: Ethical Leadership and AI
Learning Goals:
Understand the ethical implications of AI in leadership and decision-making.
Develop a framework for ethical AI integration.
Activities:
Workshop: Identifying ethical dilemmas in AI use cases.
Group discussions on balancing profitability and societal responsibility.
Reading: Critical Thinking Is About Asking Better Questions.
Practical Exercise: Role-playing ethical decision-making scenarios.
Part 2: Core Competencies for Scalable Leadership and Growth
Objective: Equip leaders with tools to foster innovation, manage risk, and scale effectively.
Module 3: Scaling Strategies in a Digital Economy
Learning Goals:
Assess organizational readiness for scale.
Leverage AI to optimize operations and enhance agility.
Activities:
Strategic mapping workshops for scale.
Simulation: AI-driven supply chain optimization.
Reading: Keep Strategy Simple by Graham Kenny.
Module 4: Risk Management in the Age of AI
Learning Goals:
Implement risk management frameworks that account for AI-driven uncertainties.
Communicate risks effectively across organizational tiers.
Activities:
Develop and test risk mitigation plans.
Case study: AI model failures and corporate resilience.
Part 3: Advanced Decision-Making and Strategic Foresight
Objective: Enhance decision-making capabilities through critical thinking and AI-based forecasting.
Module 5: Data-Driven Leadership
Learning Goals:
Integrate AI insights into decision-making processes.
Understand the limitations and biases of AI tools.
Activities:
Workshop: Building dashboards for executive decision support.
Scenario planning: How to pivot based on AI forecasts.
Module 6: Continuous Learning and Adaptability
Learning Goals:
Cultivate a mindset of lifelong learning in leadership.
Build teams that adapt to technological advancements.
Activities:
Coaching sessions on personal leadership growth.
Develop a continuous learning plan for executive teams.
Reading: Leadership Doctrine.
Unique Value of the Course
AI-Centric: Directly addresses AI's role in decision-making, operational efficiency, and competitive strategy.
Ethics-Driven: Ensures leaders are equipped to make morally sound decisions in complex environments.
Scalable Frameworks: Teaches how to sustain growth while managing the intricacies of large organizations.
Future-Ready: Positions leaders to anticipate and adapt to shifts in technology, markets, and stakeholder expectations.