COR 737 - AI Literacy for Leaders: Practical Skills for Managing Teams in the Modern Workplace
Course Description
As Artificial Intelligence (AI) transforms the way we work, there is a growing demand for leaders who can confidently use, guide, and make ethical decisions about AI, rather than just understand it technically. This course is structured to help leaders, such as managers and supervisors, integrate AI technology into how they manage people and work – without losing human touch. This is essential for organizations because it can facilitate knowledge acquisition and improve everyday decision-making, workforce planning, and people management.
Through practical examples and reflective exercises, the course guides leaders in identifying opportunities to use AI to lead more effectively, make better decisions, improve team productivity, and future-proof their leadership competence and employee coaching approach.
Course Details
Upon completing this course, successful students will be able to:
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Identify key concepts of artificial intelligence and digital transformation as they relate to frontline leadership and supervision.
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Recognize how AI technologies can enhance or challenge traditional supervisory functions, employee engagement and communication.
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Examine how AI-enabled tools can improve task performance, workflow efficiency and decision-making within their teams.
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Explore the strategic and operational dimensions that AI is used for to enhance leadership effectiveness in digital workplaces, including decision-making, conflict resolution, performance management, and organizational culture.
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Apply people-centered and ethical supervisory approaches to integrate AI responsibly into team management, employee engagement, and process improvements.
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Examine opportunities for integrating AI responsibly in team operations, while maintaining empathy and inclusivity.
Topics of Instruction
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Artificial Intelligence (AI): Theory, Background in Workplace Contexts
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AI Fundamentals for Non-Technical Leaders (Key concepts, use cases, and myths)
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AI-Ready Leadership Model: Integrating Technology, People, and Purpose
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Supervision in the Age of AI: employee engagement, and Emotional Intelligence and Human Skills (Coaching and Mentoring Employees)
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Supervision in the Age of AI: Scenario planning, Decision making, risk mitigation and continuous improvement processes (task performance, workflow efficiency)
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Building AI Confidence in Leadership: Augmenting Supervisory Competence and Accountability
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Delegation of Tasks: Integrating AI into Workload Delegation
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Stakeholder Engagement: Driving Effective Cross-Functional Collaboration and Influence using AI support