FALL 2019: ARTIFICIAL INTELLIGENCE COURSES
We offer a spectrum of artificial intelligence courses designed to help you understand our rapidly approaching technological future. Current offerings are listed below.Course: Artificial Intelligence: Deep Learning, Human-Centered AI, and Beyond
Instructors: Ronjon Nag, Fellow, Stanford Distinguished Careers Institute; Fellow, Stanford Center for the Study of Language and Information
Schedule: 8 weeks, Oct 8–Dec 3, 7:00–9:00 pm, $455
Format: On campus
Artificial intelligence (AI) is inspired by our understanding of how the human brain learns and processes information and has given rise to powerful techniques known as neural networks and deep learning. This course will provide an introductory overview of these artificial intelligence techniques. By the end of the course, students will have a greater understanding of neural networks and deep learning so they can (1) converse with neural network practitioners and companies; (2) be able to critically evaluate AI news stories and technologies; and (3) consider what the future of AI can hold and what barriers need to be overcome with current neural network models.
This introductory course is open to students of all levels. No computer science or programming experience is needed, but an understanding of simple algebra is expected.
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Course: Artificial Intelligence: From Neural Networks to Artificial Consciousness
Instructor: Sohila Zadran, Neuroscientist
Schedule: 1 day, Novemer 2, 10:00 am–, $245
Format: On campus
The age of artificial intelligence (AI) is undoubtedly here. In 2015 alone, more than $10 billion of investment went into developing “smarter” computer systems that use neuroscience to perform tasks that require high-level intellect. In this course, students will look at the neuroscience concepts and techniques that underpin artificial intelligence and the design of intelligent computer systems. Guest speakers from academia, industry, and AI companies will discuss their innovations and new AI technologies. By the end of the course, students will have a basic understanding of artificial intelligence and its roots in neuroscience, and how it contributes to existing and new technologies.
This introductory course is open to students of all levels. No background in neuroscience, artificial intelligence, or computer science is needed.
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Course: Statistics for Artificial Intelligence, Machine Learning, and Data Science: An Introduction — NEW!
Instructors: Gregory Ryslik, Chief Data Officer, Celsius Therapeutics; Adjunct Assistant Professor of Statistics, Pennsylvania State
Schedule: 9 weeks, Sept 23–Nov 22, 1 unit, $530
Format: Online
There have been tremendous advancements in artificial intelligence (AI) and machine learning (ML) in recent years across a variety of fields ranging from autonomous driving, to disease prediction, to natural language processing. All of these advancements, however, are deeply rooted in the fields of statistics and computer science. This online course will give students a high-level overview of some of the most common concepts in statistics that make AI and ML possible. The course will cover two broad areas of statistics: inference and prediction. Real-world examples will be used from the fields of healthcare, genetics, marketing, and manufacturing. By the end of the course, students will have a high-level understanding of common statistical tools used in AI and ML algorithms and be able to derive their own conclusions from statistical studies.
This course has no specific prerequisites and can be taken on a variety of levels.
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Course: Product Management in the Artificial Intelligence Era — NEW!
Instructor: Adnan Boz, Lead Product Manager, eBay
Schedule: 2 days, Oct 12–Oct 19, 10:00 am–4:00 pm, $445
Format: On-campus
How are product and service development changing in the artificial intelligence (AI) era? How is AI affecting the product management profession? And what do you need to learn in order to stay current in the industry? This workshop will answer these questions and others, bringing you up to speed with the business side of AI and strengthening your core product management skills when working in this sphere. We will learn from Silicon Valley industry experts how high tech companies like Yahoo, eBay, Google, and Amazon created new market opportunities by utilizing AI, and how their operations differ from non-AI companies. By the end of the course, you will have the crucial know-how and frameworks to create impactful AI-driven products and services and successfully lead AI teams, practices, and partnerships.
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Course: Artificial Intelligence and Machine Learning: Make Your Business More Effective and Profitable — NEW!
Instructor: Giancarlo Mori, CEO and Chief Architect, Movyl TechnologiesGregory Ryslik, Vice President, Data Science, Mindstrong; Adjunct Assistant Professor of Statistics, Pennsylvania State
Schedule: 1 day, October 12, 10:00 am–4:00 pm, $320
Format: On campus
Artificial intelligence (AI) and machine learning (ML) are taking the business world by storm. For many entrepreneurs and executives, though, it is hard to go beyond the hype to clearly see how AI can help make your business more effective and profitable. AI/ML can be a great competitive advantage, or a drain on money and resources. This workshop will give you the practical tools you need to identify and act on the many advantages AI and ML can offer. By the end of the day, you will have a solid understanding of the trends driving the AI revolution, as well as the processes and tools needed to successfully bring AI to your business.
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