Google AI for JavaScript developers with TensorFlow.js

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متاح الآن إلى 2025-01-06
24.50 ساعة تعليمية
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Are you a web engineer, designer, or creative thinker looking to apply AI or use Machine Learning in your next web application but are unsure where to begin? Or maybe you’re overwhelmed by other courses that focus more on the mathematical proofs than actually enabling you to use these new technologies for real world applications? This course offers a solution and the knowledge to be the "missing manual" for JavaScript users without a background in Machine Learning.

Machine Learning (ML) on the web is growing faster than ever so now is the time to take your first steps too. Learn what the difference is between Artificial Intelligence, Machine Learning, and Deep Learning but also how to use such techniques practically through real examples using TensorFlow.js - Google's leading ML library for JavaScript.

Supercharge your next web app with superpowers - from classifying text in a blog post comment to automatically block spam, to using sensors like a webcam on your mobile device to alert you when your dog is on the couch after you left the house. The knowledge you learn could be applied to any business OR creative idea you have for your next project no matter what industry you may be working in.

Better yet, JavaScript is one of few programming languages that can run everywhere enabling you to leverage the knowledge from this course and apply it client side, server side, via native apps, and even IoT devices allowing you to reuse what you learn across multiple environments.

​This course aims to educate, inspire, and enable you to rapidly create your next ML powered idea in this rapidly emerging industry while providing you with a solid foundation to understand the field and confidence to explore the industry further.

Web applications are evolving, so sign up, join the fun, and get an edge over the competition. No background in ML is required to take the course. A basic, working knowledge of web technologies such as HTML, CSS, and JavaScript is highly recommended.


Jason Mayes
Jason Mayes

Jason is the public face of TensorFlow.js, helping web engineers globally take their first steps with machine learning in JavaScript. He also combines his knowledge of the technical and creative worlds to develop innovative prototypes for Google's largest customers and internal teams with over 15 years experience working within web engineering and investigating emerging technologies.

He holds an MEng in Computer Science, is a member of the British Computing Society, and is a certified information privacy technologist. Jason loves sharing knowledge online which has attracted a global following.