This unit introduces generative AI and the ‘1-degree world’ connectivity paradigm and examines how these concepts reshape decision-making, leadership, and core manufacturing functions. Learners explore ethical and governance considerations, organizational-scale strategies, culture and workforce transformation, and complete a case study that prepares manufacturing teams for AI adoption, laying the groundwork for implementation in subsequent units.
Learning Objectives
- Analyze foundational principles of generative AI and the 1-degree world by distinguishing key concepts, architectures, causal methodology, and their implications for manufacturing decision-making
- Evaluate the impact of Gen AI across manufacturing functions (marketing, product development, operations, customer service, HR) and organizational scales (small, medium, large) through scenario-based risk/benefit assessments
- Apply causal reasoning and ethical frameworks to critique AI-enabled decisions by identifying bias, governance gaps, and workforce implications and proposing mitigation strategies
- Design a leadership-driven roadmap for AI adoption that specifies culture-building actions, upskilling priorities, change-management steps, and measurable governance milestones for workforce transformation
Curriculum
- 1 Section
- 33 Lessons
- 30 hours
Expand all sectionsCollapse all sections
- Unit 1 — Foundations of Gen AI Leadership33
- 1.1What Is Gen AI?20 mins
- 1.2The 1-Degree World: A New Era of Connectivity20 mins
- 1.3Why Gen AI Matters20 mins
- 1.4The 1-Degree World: A Paradigm Shift in Connectivity20 mins
- 1.5How the 1-Degree World Redefines Decision-Making20 mins
- 1.6The Role of Humans20 mins
- 1.7Causal Methodology20 mins
- 1.8Causal Agents in Decision-Making20 mins
- 1.9Ethical Considerations in the 1-Degree World20 mins
- 1.10Leadership in the 1-Degree World20 mins
- 1.11Embracing the 1-Degree World20 mins
- 1.12Marketing and Sales: Personalization and Content Creation at Scale20 mins
- 1.13Product Development: Accelerating Innovation Cycles20 mins
- 1.14Operations: Enhancing Efficiency with Predictive Analytics20 mins
- 1.15Customer Service: Transforming Customer Interactions with AI20 mins
- 1.16Human Resources: AI for Talent Acquisition and Employee Development20 mins
- 1.17Revolutionizing Key Business Functions20 mins
- 1.18Small Organizations: Leveraging AI for Maximum Impact with Minimal Resources20 mins
- 1.19Medium-Sized Organizations: Balancing Growth and Innovation with AI20 mins
- 1.20Large Organizations: Managing Complexity and Scaling AI Globally20 mins
- 1.21Key Takeaways for Leadership20 mins
- 1.22Why Culture Matters in AI Adoption20 mins
- 1.23Strategies for Building an AI-First Mindset20 mins
- 1.24Leadership’s Role in Shaping Culture20 mins
- 1.25Laying the Foundation for AI Success20 mins
- 1.26Leadership’s Role in Workforce Preparation20 mins
- 1.27The Importance of AI Governance20 mins
- 1.28Upskilling for Ethical AI20 mins
- 1.29Leadership’s Role in Ethical AI20 mins
- 1.30Change Management and Employee Engagement20 mins
- 1.31Promoting Collaboration Between Departments20 mins
- 1.32Creating a Roadmap for AI Workforce Transformation20 mins
- 1.33Case Study: A Manufacturing Company Prepares Its Workforce for AI20 mins
Instructor
Free
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