Will I earn university credit for completing the Specialization?

All videos and quizzes are linked in such a way that you won't need to repeat them, should you later decide to enroll in our degree program. However, programming assignments are going to be more extensive in the degree course, and as such they can't be credited.

What will I be able to do upon completing the Specialization?

You will have the wherewithall to engage in a professional career in computer supported healthcare. There is high demand in this field, so you'll not be waiting for a long time to get great opportunities, be it in academia or industry.

Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Deep Learning for Healthcare Specialization

Deep Learning for Healthcare Specialization

Neural Networks in Applied Medicine. Learn the latest cutting-edge methods in Deep Learning for Medical Applications

Instructor: Jimeng Sun

Included with Coursera Plus

Learn more

3 course series

Get in-depth knowledge of a subject

3.3

(44 reviews)

Advanced level

Recommended experience

2 months to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 course series

Get in-depth knowledge of a subject

3.3

(44 reviews)

Advanced level

Recommended experience

2 months to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

This specialization 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. We 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 we provide for use with different types of neural networking algorithms. The technology used is (among others) Jupyter Notebooks / PyTorch.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

12 practice exercises

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from University of Illinois Urbana-Champaign

Specialization - 3 course series

Applied Learning Project

Health Data Science Foundation

Course 124 hours

What you'll learn

Machine Learning, Health Data Processing

Skills you'll gain

Artificial Neural Networks, Computer Vision, Health Care, Health Informatics, Deep Learning, Medical Science and Research, Program Development, Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), and Unsupervised Learning

Deep Learning Methods for Healthcare

Course 222 hours

What you'll learn

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.

The first phase of the course will include video lectures on different DL and health applications topics, self-guided labs and multiple homework assignments. In this phase, you will build up your knowledge and experience in developing practical deep learning models on healthcare data. The second phase of the course will be a large project that can lead to a technical report and functioning demo of the deep learning models for addressing some specific healthcare problems. We expect the best projects can potentially lead to scientific publications.

Skills you'll gain

Deep Learning, Artificial Neural Networks, Python Programming, Applied Machine Learning, Health Informatics, Machine Learning, Medical Imaging, Feature Engineering, Network Architecture, Dimensionality Reduction, Image Analysis, Predictive Modeling, Computer Vision, and Unsupervised Learning

Advanced Deep Learning Methods for Healthcare

Course 316 hours

What you'll learn

Skills you'll gain

Python Programming, Deep Learning, Graph Theory, Health Informatics, Predictive Modeling, Tensorflow, Image Analysis, Generative Model Architectures, PyTorch (Machine Learning Library), Applied Machine Learning, Artificial Neural Networks, Data Synthesis, Machine Learning Methods, Natural Language Processing, and Unsupervised Learning

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Prepare for a degree

Taking this Specialization by University of Illinois Urbana-Champaign may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.

Instructor

Jimeng Sun

University of Illinois Urbana-Champaign

4 Courses10,998 learners

Offered by

University of Illinois Urbana-Champaign

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Frequently asked questions

The specialization consists of three courses with four modules each. The common understanding is that a module equals to one week, so a total of 12 weeks will be needed.

We recommend having at least an undergraduate degree in Computer Science or Medicine, or equivalent professional experience.

The courses are intended to be completed in the sequence they are posted.

Deep Learning for Healthcare Specialization

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Advance your subject-matter expertise