A Crash Course in Artificial Intelligence

Stanford Continuing Studies

Stanford Continuing Studies

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About the course

Everything you wanted to know about artificial intelligence (AI) but were afraid to ask! AI, inspired by our understanding of how the human brain learns and processes information, has given rise to powerful techniques known as neural networks and deep learning. This workshop will provide a high-level overview of these and other artificial intelligence techniques. Through pre-built hands-on exercises, we will discuss how current AI platforms compare with how the brain works, how systems actually “learn,” and how to build and apply neural networks. We will also discuss the societal and ethical issues surrounding the real-world applications of neural networks. By the end of the course, students will understand how AI techniques work so they can: (1) converse with neural network practitioners and companies; (2) 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 workshop is ideal for product managers who interact with data scientists, software engineers who wish for more AI exposure, and anyone in the general public who wants to know how current AI works.

Experts

Ronjon Nag

Ronjon Nag has deployed artificial intelligence systems for mobile devices over three decades, working on neural networks at Cambridge, where he received a PhD in engineering; at Stanford, where he was a Harkness Fellow; and at MIT, where he received an MS. He received the IET Mountbatten Medal a...

A Crash Course in Artificial Intelligence at Stanford Continuing Studies

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

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