AI for Executives: The Basics gives managers a practical, non-technical introduction to artificial intelligence and machine learning for business decision-making. You’ll learn how AI fits into executive strategy, what ML models can and can’t do, and how to lead data-driven initiatives that create measurable value. Starting with the fundamentals, the course explains algorithms vs. models, core ML tasks, and the lifecycle for building and governing solutions. You’ll then design a data strategy—covering data quality, privacy, and responsible use—before applying techniques such as regression, decision trees, and modern large language models (LLMs) to real executive-level use cases. Finally, you’ll put it together by planning AI pipelines, evaluating model performance and non-functional properties, and knowing when to customize or reuse off-the-shelf models. Hands-on assignments use familiar tools and require no coding. By the end, you’ll be able to map business problems to the right AI approach, communicate with technical teams, and build an informed roadmap for adopting AI across your organization.