8 Artificial Intelligence Course Programs in USA

At its core, the University of Waterloo AI-CTO program merges technology mastery, AI innovation, strategic influence, and enterprise transformation. It equips leaders with a performance toolkit that turns strategy into execution, innovation into ROI, and ideas into enterprise-scale impact.

This course explores ISO/IEC 42001 for AI Management Systems (AIMS), ensuring responsible AI development. Addressing ethical concerns like trustworthiness, robustness, resilience, reliability, accuracy, safety, security, and privacy enables organisations to manage AI risks and opportunities. This ISO standard ensures a balanced approach to innovation and governance. (ChatGPT generated based on the course content and edited by the Course Writer)

Understand the applications, opportunities, and transformative potential of AI in your health care context.

Gain the knowledge and confidence to support the integration of AI into your organization.

Innovations in technology, big data, and artificial intelligence have consequences that deserve thoughtful, intentional consideration. How is big data used? What about privacy? Or bias? How do machines influence humans? What is responsible technology?

Learn to use machine learning in Python in this introductory course on artificial intelligence.

This minor or certificate require completion of four courses (12 credits) with a minimum grade of "C." Students must ensure that they have the necessary prerequisites for the selected courses. Waiver of prerequisites will be made on a case-by-case basis. Students cannot apply for both the minor and certificate in Interdisciplinary Applications of AI. Students can apply to one track at most.

Organizations in every industry are accelerating their use of artificial intelligence and machine learning to create innovative new products and systems. This requires professionals across a range of functions, not just strictly within the data science and data engineering teams, to understand when and how AI can be applied, to speak the language of data and analytics, and to be capable of working in cross-functional teams on machine learning projects.