This course covers deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large project.

About this Course
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Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 3 of 3 in the
Advanced Level
We recommend a solid foundation in one of the fields adjacent to the topic of the course, such as Computer Science, Data Science, Medicine.
Approx. 16 hours to complete
English
Skills you will gain
- Graphs
- Unsupervised Learning
- Autoencoder
- Deep Learning
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 3 of 3 in the
Advanced Level
We recommend a solid foundation in one of the fields adjacent to the topic of the course, such as Computer Science, Data Science, Medicine.
Approx. 16 hours to complete
English
Start working towards your Master's degree
This course is related to the 100% online Master of Computer Science from University of Illinois at Urbana-Champaign. It will provide you with a preview of the topics, materials and instructors so you can decide if the full online degree program is right for you.
Syllabus - What you will learn from this course
5 hours to complete
Week 1 - Attention Models
5 hours to complete
4 videos (Total 30 min), 3 readings, 2 quizzes
5 hours to complete
Week 2 - Graph Neural Networks
5 hours to complete
5 videos (Total 36 min), 2 readings, 2 quizzes
3 hours to complete
Week 3 - Memory Networks
3 hours to complete
8 videos (Total 87 min), 2 readings, 1 quiz
3 hours to complete
Week 4 - Generative Models
3 hours to complete
4 videos (Total 55 min), 2 readings, 1 quiz
About the Deep Learning for Healthcare Specialization

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