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Manufacturing
Leadership, Governance, and AI Scaling
Curriculum
1 Section
33 Lessons
30 hours
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Unit 2 — Leadership, Governance, and AI Scaling
33
1.1
The Critical Role of Leadership in Building an AI-Ready Workforce
20 mins
1.2
Assessing Business Needs
20 mins
1.3
Conducting AI Pilot Projects
20 mins
1.4
Building the Right Infrastructure and Selecting Tools
20 mins
1.5
Scaling AI Solutions Across the Organization
20 mins
1.6
Continuous Measurement and Refinement
20 mins
1.7
Example: Implementing Gen AI in a Financial Services Firm
20 mins
1.8
Key Takeaways for Leadership
20 mins
1.9
Case Study 1: Enhancing Quality Control in Electronics Manufacturing
20 mins
1.10
Case Study 2: Predictive Maintenance in Automotive Manufacturing
20 mins
1.11
Case Study 3: AI-Augmented Product Design in Automotive Engineering
20 mins
1.12
Case Study 4: AI-Driven Supply Chain Optimization in Beverage Production
20 mins
1.13
Case Study 5: AI-Enabled Energy Optimization in Glass Manufacturing
20 mins
1.14
Agentic AI in Manufacturing: Successes, Challenges, and Failures
20 mins
1.15
Insights for Manufacturing Leaders
20 mins
1.16
Conclusion: Restating the Case for AI in Manufacturing
20 mins
1.17
Advancements in AI Models and Capabilities
20 mins
1.18
Emerging Applications Across Industries
20 mins
1.19
Enhanced Personalization and Customer Engagement
20 mins
1.20
AI-Enhanced Decision-Making and Automation
20 mins
1.21
Ethical and Regulatory Challenges in AI Implementation
20 mins
1.22
Preparing for Quantum AI and Other Emerging Technologies
20 mins
1.23
AI-Driven Transformation
20 mins
1.24
Strategic Considerations for Leadership
20 mins
1.25
The Role of Leadership in AI Governance
20 mins
1.26
The Need for Leadership-Driven AI Governance in Manufacturing
20 mins
1.27
Leadership’s Role in Ethical AI Practices
20 mins
1.28
Leadership Strategies for Ethical AI Governance in Manufacturing
20 mins
1.29
Building an Ethical AI Culture in Manufacturing
20 mins
1.30
Case Study: Leadership in AI Governance at a Global Manufacturing Company
20 mins
1.31
Conclusion: AI Governance as a Competitive Advantage in Manufacturing
20 mins
1.32
Defining Success: Aligning AI Metrics with Business Goals
20 mins
1.33
Key Performance Indicators for Evaluating AI Success
20 mins
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