Program Overview
This course equips participants with essential knowledge and hands-on skills to strategically apply AI tools—particularly large language models (LLMs)—within their leadership roles. Through practical modules and interactive exercises, participants will learn the art of prompt engineering, explore use cases for AI in market analysis, reporting, and stakeholder communication, and integrate responsible AI practices into day-to-day workflows. The course balances conceptual clarity with actionable tools, helping leaders adopt AI in ways that boost efficiency, enhance decision-making, and foster innovation in business strategy.
Features
- Understand and apply foundational principles of prompt engineering for business use.
- Leverage LLMs to support strategic decision-making and stakeholder communication.
- Use AI to automate reports, summaries, and data-driven tasks effectively.
- Integrate responsible AI practices and iterative improvement into leadership workflows.
Target audiences
- Senior business leaders
- CXOs, VPs and Directors
Curriculum
- 5 Sections
- 27 Lessons
- 1 Day
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- Introduction to AI and Large Language Models (LLMs)5
- 1.1Introduction to AI and its role in business
- 1.2Understanding LLMs: Key players and their functions
- 1.3How LLMs are revolutionizing business decision-making
- 1.4Identifying potential challenges in using AI for leadership
- 1.5Introduction to the basics of prompt engineering and its significance in AI interactions
- Crafting Business-Centric Prompts for Leadership Decisions6
- 2.1Principles of high-quality prompt crafting
- 2.2Business-oriented prompt examples (strategic insights, market analysis)
- 2.3Leveraging AI for drafting reports and presentations
- 2.4Enhancing communication with stakeholders through AI
- 2.5Pre-built templates for leadership decision-making scenarios
- 2.6Activity: Creating and Refining Business-Centric Prompts
- Optimizing AI for Strategic Thinking and Automation5
- 3.1Using AI for strategic insights and market analysis
- 3.2Chain-of-thought prompting for detailed, logical outputs
- 3.3Automating repetitive data tasks and generating formula suggestions
- 3.4Visualizing trends with AI and generating executive-level summaries
- 3.5Enhancing customer engagement and stakeholder management with AI tools
- Advanced Prompting Techniques and Best Practices6
- 4.1Advanced prompting techniques for achieving detailed, actionable insights
- 4.2Best practices for crafting prompts to maximize AI utility
- 4.3Techniques for iterative improvement of AI interactions
- 4.4Troubleshooting: Identifying and resolving output errors and inconsistencies
- 4.5Case studies of successful AI-driven leadership applications
- 4.6Activity: Applying Advanced Prompting Techniques
- Responsible AI Use and Integration into Leadership Workflows5
- 5.1Ethical considerations and responsible AI practices in leadership
- 5.2Guidelines for AI use in decision-making scenarios
- 5.3Recommendations for integrating ChatGPT and other AI tools into existing workflows
- 5.4Practical tips for continued application of prompt engineering
- 5.5Building a curated library of AI prompts tailored for senior leadership
Instructor
