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Hands-On A.I. Programming Course

Beginner, 4-Week Course (10 Hrs/Week)

This is a self-paced hands-on course introducing you to the art of A.I. programming with the popular deep learning A.I. library PyTorch. The course will guide you through step-by-step all the basics of developing real-world A.I. projects including how to curate datasets, build neural networks, training and inference.  Beginner Python programming experience is required.  Enroll today and get started!

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Self-Paced, Access Anywhere

This course can be taken at your own pace and accessed from anywhere, including your mobile phone. 

No Special Hardware

All coding assignments will be completed in Google Colab so you will not need special hardware to complete the course.

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Certificate of Completion

Receive a Certificate of Completion to add to your resume and show prospective employers.

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Instructor Feedback

Get personalized feedback on all your project submissions from the instructor.

Learn to Build Real-World A.I. Projects

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Detect Birds

Learn how to use a pre-trained state-of-the-art neural network to build a bird detector.

Old car with 12 MPG prediction of fuel efficiency

Predict Efficiency

Learn to build a neural network that can predict the miles per gallon of a car using a real-world tabular dataset.

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Classify Flowers

Learn to build a state-of-the-art flower image classifier using a real-world vision dataset (daisy, tulip etc.).

Try FREE for 2 Days

Get full access to the entire first module of the course for 2 days.

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Code in Python

You will complete all projects and homework assignments using the popular Python programming language.  You will learn how to leverage commonly used open source libraries including PyTorch, numpy and others.

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coding using the pytorch library

PyTorch:  Most Popular A.I. Library on the Planet

PyTorch is an open-source Python library used by companies around the world to build powerful, large-scale A.I. deep-learning projects.  You will be introduced to the library and use it to build your own A.I. projects.

Download Complete Course Syllabus

(2 Page, PDF)

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