Overview
This Deep Learning for Healthcare course offered by Coursera in partnership with University of Illinois is intended for persons involved in machine learning who are interested in medical applications, or vice versa, medical professionals who are interested in the methods modern computer science has to offer to their field. You will cover health data analysis, different types of neural networks, as well as training and application of neural networks applied on real-world medical scenarios.
Applied Learning Project
Learners will be able to apply the theoretical concepts in autograded programming assignments that use training data this course provides for use with different types of neural networking algorithms. The technology used is (among others) Jupyter Notebooks / PyTorch.
Skills You Will Learn:
- Big Data
- Machine Learning
- Deep Learning
- Health Care
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Health Data Science Foundation
- Deep Learning Methods for Healthcare
- Advanced Deep Learning Methods for Healthcare
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 months
- Flexible
Start dates & application deadlines
Language
Delivered
Disciplines
Health Sciences Artificial Intelligence View 140 other Short Courses in Artificial Intelligence in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Advanced level
- Programming experience in Python recommended, as well as knowledge of fundamentals in Machine Learning
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.