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About Course
| Day 1 | Demystifying the AI Landscape | AI, ML, Deep Learning (No-jargon); Generative AI (LLMs, Multimodal AI, Agentic workflows). | C-Suite, Directors | Establishing a common, non-technical AI language and understanding capability limits. |
| Day 2 | The AI-Powered Manager (Personal Productivity) | Advanced Prompt Engineering for Executives (strategic planning); Custom GPTs and Personal Assistants (no-code tool building). | Mid-to-senior Managers | Hands-on mastery of AI tools to automate reporting, synthesis, and decision support. |
| Day 3 | Strategic AI Integration & ROI | Identifying High-Value Use Cases (Quick Wins vs. Moonshots); Calculating AI ROI (build vs. buy, infrastructure, productivity). | Directors, Executives | Frameworks for identifying and quantifying the business value of AI investments. |
| Day 4 | Governance, Ethics, and Risk Management | Managing the “Black Box” (Bias, Hallucinations, Data Privacy/GDPR/AI Act); Shadow AI management; Corporate AI Policies. | C-Suite, Directors | Protecting the organization by formalizing governance and mitigating legal/data risk. |
| Day 5 | Leading the AI-Augmented Workforce | Change Management (Overcoming “Algorithm Aversion”); Designing Human-in-the-loop workflows; Upskilling your team. | Mid-to-senior Managers | Leading successful human-AI transformation and managing organizational change. |
Course Content
Day 1
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Demystifying the AI Landscape
Day 2
Day 3
Day 4
Day 5
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- All Levels
- March 17, 2026
