AI-Augmented Decision-Making for Business Leaders

In this course, you'll gain foundational knowledge, practical tools, and actionable frameworks for integrating AI into your executive decision-making. You’ll explore AI-powered forecasting, strategic planning, risk assessment, and ethical considerations through engaging case studies and hands-on activities. You'll also discover how to build an AI-ready culture, communicate AI-driven insights effectively, and strategically position your organization for the future. This course is tailored for a broad spectrum of business professionals who influence or make strategic decisions. Executives, senior leaders, managers, consultants, and entrepreneurs will benefit from practical tools and insights to apply AI in real-world business contexts. It also welcomes aspiring AI champions and HR professionals eager to build AI-ready cultures and lead technological transformation across their organizations. No prior knowledge of AI, data science, or advanced technology is required to take this course. It is designed to be fully accessible to business leaders with curiosity and a willingness to explore how AI can inform strategic decision-making. Access to AI tools like ChatGPT is recommended for learners who want to experiment and apply concepts hands-on during the course. By the end of this course, learners will understand foundational AI concepts and how data fuels intelligent decision-making. They will be able to evaluate ethical concerns related to AI, apply tools for forecasting and risk analysis, and lead AI integration across teams. Ultimately, participants will be equipped to communicate AI insights effectively and guide their organizations confidently into an AI-powered future

• Explain key AI concepts, relevant data requirements, and the role of AI in executive decision-making processes
• Evaluate ethical considerations by identifying potential biases, transparency issues, and accountability concerns in AI-driven decision-making
• Use AI tools for forecasting, risk assessment, and strategic analysis in organizational contexts
• Lead AI Integration by communicating AI insights, fostering an AI-ready culture, and anticipating emerging trends and challenges in AI leadership

• No deep prior experience is required, but basic computer and internet skills are helpful
• Ability to read course instructions in English and complete short practice activities