Program profile · official sources
AI for Medicine Specialization
The AI for Medicine Specialization by DeepLearning.AI on Coursera is an intermediate-level, three-course program designed to give practical experience applying machine learning to concrete problems in modern medicine. Instructed by Eddy Shyu and others, the curriculum teaches how to diagnose diseases from x-rays and 3D MRI brain images using convolutional neural networks, estimate patient survival rates with tree-based models, and predict treatment effects using data from randomized trials. Students also learn to automate the task of labeling medical datasets using natural language processing. The self-paced online program has a provider estimate of two months at ten hours a week to complete. Earning the shareable career certificate requires completing all three courses and their applied learning projects.
Facts checked 30 Sep 2026
- Price
- See pricing
No specific total price is stated. The FAQ describes subscription access; the paid completion route has no numeric amount in the captured page. Financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
- Time
- 2 months to complete at 10 hours a week.
- Level
- Intermediate level
- Credential
- Provider-issued course certificate
Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
- Format
- 100% online, self-paced course
- Prerequisites
- Working knowledge of deep neural networks, particularly convolutional networks, and proficiency in Python programming at an intermediate level will be essential. If relatively new to machine learning, it is advised to take the Deep Learning Specialization first. No prior medical expertise is required.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- AI for Medical Diagnosis
- AI for Medical Prognosis
- AI For Medical Treatment
Prerequisites: Working knowledge of deep neural networks, particularly convolutional networks, and proficiency in Python programming at an intermediate level will be essential. If relatively new to machine learning, it is advised to take the Deep Learning Specialization first. No prior medical expertise is required.
What you actually do
What the credential is
- Credential type
- Provider-issued course certificate · www.coursera.org / ai-for-medicine
- Credential
- Career certificate · www.coursera.org / ai-for-medicine
- Issuer
- DeepLearning.AI · www.coursera.org / ai-for-medicine
- Sharing
- Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. · www.coursera.org / ai-for-medicine
- Exam requirement
- The page describes course completion and applied learning assignments/projects; it does not explicitly establish whether an exam is required. · www.coursera.org / ai-for-medicine
Who should skip it
Alternatives in the registry
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Change log
- : Initial recorded review of official program details. · Source