34 Artificial Intelligence Preparatory Programs in USA

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

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.

The Rutgers Digital Asset Management (DAM) and Artificial Intelligence (AI) Silver Certificate is a 12-week online program designed to provide a practical foundation in artificial intelligence fundamentals, strategy, and its applications within DAM. You'll gain the skills and knowledge needed for a content-oriented AI strategy to enable the integration and adoption of capabilities that are aligned with your organization's goals.

Build career-ready skills with OHIO's online AI in Business certificate that blends the cutting-edge capabilities of artificial intelligence with strategic thinking, machine learning, and business ethics.

The online Artificial Intelligence graduate specialization from Saint Mary's University of Minnesota trains students to design and deploy AI solutions that improve business outcomes. You will study deep learning, data engineering, and the Internet of Things using a project-based approach. Graduates are qualified for roles like AI developer, data engineer, and data scientist. This certificate can be applied to the M.S. in Business Intelligence and Data Analytics program at Saint Mary's.

This certificate program introduces students to the rapidly growing field of artificial intelligence. With a focus on AI principles, tools, and real-world applications, this program is ideal for professionals looking to expand their technical skills and stay ahead in a digital-first world.

The A.S. Degree in Artificial Intelligence for Business is designed for returning CIS, business, marketing, and data analytics professionals with industry experience or students who have completed CIS courses. The degree offers a balanced set of classes that provides students with the knowledge and skills to obtain jobs in the areas of data science, data analysis, data mining, text mining, business intelligence, machine learning, deep learning, natural language processing, and artificial intelligence research. Students will learn how to make business decisions using different machine learning algorithms and deep learning prediction models of different complexities. Students will learn how to use natural language processing to better understand customer intent through sentiment analysis and gather market intelligence.

The rise of artificial intelligence (AI) has sparked both promises and perils - some proven, others projected. In this course, we will unpack the ethical issues surrounding AI by exploring the basic mechanisms of how AI systems work, examining assumptions about AI's capabilities and limitations, and analyzing the ways humans interact with AI systems.

This course provides an introduction to understanding how emerging media technologies like social media, smartphones, algorithms, and artificial intelligence affect our world. Specifically, we will explore how our experiences with technology affect our psychological well-being and mental health, and the informational well-being of our communities.

Machine Learning and Natural Language Processing define the current state of the art of Artificial Intelligence. These technologies, which are a form of data mining and data analysis, continuously learn from the provided information.

Get ready to explore the future of high-performance computing (HPC) and artificial intelligence (AI) and its influence on the way we live, work and learn, with the HPC-AI Summer Seminar Series by Stanford High-Performance Computing Center and the HPC-AI Advisory Council. This 1-unit course is designed to provide practical insights and thought leadership and discuss topics of great societal importance.

With the recent developments in generative AI, the value of human creativity is increasingly a focus. The course draws from lessons from creativity in the arts to teach engineering students methods for creativity derived from musicians and artists. For our engineering students to learn creativity as a skill that is distinguishable and differentiated from generative artificial intelligence, this course explores, for instance, the anatomy of a Hollywood pop song and the process behind the creation of globally impactful art.

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

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)

Reimagine design work in the age of AI. Enhance your design approach by seamlessly integrating the latest AI-tools and methods for research, idea generation, and project execution.