Master AI concepts, strategy, and ethics. Gain a multidimensional understanding of AI's impact on business and society. No coding required.
Master AI concepts, strategy, and ethics. Gain a multidimensional understanding of AI's impact on business and society. No coding required.
This course offers a comprehensive introduction to Artificial Intelligence (AI) concepts, strategy, and ethics. It provides a multidimensional understanding of AI's implications for individuals, organizations, and society. The course focuses on three key dimensions: Practice, Principles, and Strategy. It aims to impart a simplified philosophical understanding of AI's nature and capabilities, improve comprehension of AI concepts and ideas, provide a foundation in AI ethics and risks, and encourage strategic thinking about AI's future. Notably, this course does not emphasize coding, machine learning, or specific AI technologies, making it accessible to a wide range of professionals and students interested in AI's broader impact and strategic implications.
Instructors:
English
What you'll learn
Gain a comprehensive understanding of AI concepts and their strategic implications
Develop a philosophical perspective on AI's nature and capabilities
Understand AI ethics and potential risks associated with AI implementation
Explore emerging trends in AI, including Generative AI and Large Language Models
Learn to think strategically about AI's future and its impact on various sectors
Acquire knowledge to make informed decisions about AI adoption and strategy
Skills you'll gain
This course includes:
6 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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There are 4 modules in this course
This course provides a comprehensive introduction to Artificial Intelligence (AI) concepts, strategy, and ethics. It focuses on three key dimensions: Practice, Principles, and Strategy. The curriculum is designed to give students a multidimensional understanding of AI's implications for individuals, organizations, and society at large. Key topics include AI capabilities, emerging trends, ethical considerations, and potential risks. The course also covers advanced concepts such as Generative AI, Foundation Models, and Large Language Models. Unlike many technical AI courses, this program emphasizes strategic thinking and philosophical understanding rather than coding or specific AI technologies. It's ideal for business executives, government officers, managers, and anyone interested in AI's broader impact on business and society.
AI: Introduction
Module 1 · 2 Hours to complete
AI Capabilities –Principles for Innovation (Wk2)
Module 2 · 2 Hours to complete
Principles of AI Risks – Imminent and Imagined (Wk3)
Module 3 · 2 Hours to complete
Generative AI, Foundation Models, LLMs & Critical AI Ethics (Wk 4)
Module 4 · 6 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Leading Expert in Information Science and Artificial Intelligence
Dr. Samuel is a distinguished information and artificial intelligence (AI) scientist and professor at Rutgers University, a prestigious institution in the United States. His theoretical research focuses on the interaction between human intelligence and artificial intelligence, as well as information philosophy. In his applied research, Dr. Samuel utilizes advanced textual analytics, natural language processing (NLP), natural language understanding (NLU), and machine learning techniques to examine human behavior and public perception informatics. He has significant expertise in generative AI, data analytics, public informatics, and natural language generation (NLG). With considerable industry experience in finance, technology, and consulting, Dr. Samuel has published numerous influential papers and holds editorial roles, including Editor-in-Chief. At Rutgers, he teaches an artificial intelligence strategy course and an NLP studio while also developing multiple data science and AI courses and graduate programs. As a business leader, he has facilitated global investments across various asset classes. Dr. Samuel is a sought-after speaker and thought leader, addressing the philosophical and future socioeconomic implications of AI.
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Frequently asked questions
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