AI for Executives

Most courses on AI for executives are developed from a business perspective, so they typically do not contain materials about general ideas behind AI methods and their applications. Technical courses on AI also go very deep into the algorithms and mathematics, so they are not appropriate for people without a technical background.
We provide an intermediate approach between these two. We provide some training on the technologies and the ideas behind them and then guide the managers how to apply those technologies in their companies.

The course covers an introduction to AI, AI tools and applications, AI strengths and limitations, what an AI project looks like, and how to move towards an AI-based company.

The introduction allows students from various backgrounds to learn basic concepts in AI, data science, and machine learning from a non-technical point of view, but not that shallow to not being able to differentiate different technologies. Then, the students are familiarized with some of the essential AI tools, such as machine learning, deep learning, and others. Students will learn about the rationale and ideas behind the AI tools and their applicability. Examples are given of what AI can do and cannot do. Ethical issues and challenges are covered, such as privacy, discrimination, and security. In the final parts, the main components of a successful AI project are outlined, and how to move forward towards an AI-based company and the issues and challenges a traditional may face in this journey. Students are expected to bring real case studies from their organizations and discuss the strengths and limitations of AI in their case studies of interest.