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Course Outline
10:00 AM - 11:00 AM
Turning AI Fundamentals into Business Value
Bridge technical AI concepts with practical business applications. Learn how to identify where AI can improve efficiency, customer experience, and decision-making.
11:00 AM - 12:00 PM
Building an AI Strategy
Explore frameworks for integrating AI into business operations. Discuss alignment with organizational goals, ROI considerations, and change management essentials.
12:00 PM - 1:00 PM
Mapping AI Use Cases Across Industries
Examine real-world success stories in sectors such as healthcare, finance, education, and public service. Identify use cases that can translate to your organization.
1:00 PM - 2:00 PM
Lunch Break
2:00 PM - 3:00 PM
Creating an AI Policy Framework
Understand the key elements of an effective AI policy, including governance, data management, privacy, and risk mitigation. Participants begin drafting policy outlines tailored to their context.
3:00 PM - 4:00 PM
Ethics and Responsible Implementation
Discuss fairness, transparency, accountability, and human oversight. Learn how ethical considerations shape sustainable AI adoption and public trust.
4:00 PM - 5:00 PM
Preparing for Generative AI Tools
Introduction to the next phase of AI—generative models like GPT and GitHub Copilot. Understand their business potential and readiness requirements ahead of Day 3’s technical deep dive.
Requirements
- An understanding of basic AI concepts (recommended completion of AI Fundamentals or equivalent experience)
- Experience with general business operations or management decision-making
- No programming experience required
Audience
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Business leaders, managers, and department heads
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Policy and governance professionals exploring responsible AI adoption
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Analysts and consultants guiding organizations through digital transformation
7 Hours
