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Course Outline
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.
Building an AI Strategy
- Explore frameworks for integrating AI into business operations. Discuss alignment with organizational goals, ROI considerations, and change management essentials.
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.
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.
Ethics and Responsible Implementation
- Discuss fairness, transparency, accountability, and human oversight. Learn how ethical considerations shape sustainable AI adoption and public trust.
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
- Business leaders, managers, and department heads
- Policy and governance professionals exploring responsible AI adoption
- Analysts and consultants guiding organizations through digital transformation
7 Hours
