AI for Medicine Specialization

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This three-course Specialization will give you practical experience in applying machine learning to concrete problems in medicine.
These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. If you are new to deep learning or want to get a deeper foundation of how neural networks work, we recommend taking the Deep Learning Specialization.
WHAT YOU WILL LEARN

  • Diagnose diseases from x-rays and 3D MRI brain images
  • Predict patient survival rates more accurately using tree-based models
  • Estimate treatment effects on patients using data from randomized trials
  • Automate the task of labeling medical datasets using natural language processing
Filter Courses within "AI for Medicine Specialization" (Click to filter)
AI for Medical Diagnosis (Coursera) Coursera
DeepLearning.AI

AI for Medical Diagnosis (Coursera)

Embark on a transformative journey into the intersection of medicine and artificial intelligence with 'AI for Medical Diagnosis'. This course is designed for AI practitioners eager to leverage their coding and mathematical knowledge to tackle healthcare challenges. Gain insights into how AI is revolutionizing medical diagnosis without requiring prior medical expertise. Discover how you can contribute to improving patient outcomes through advanced data analysis and predictive modeling.

Jun 22nd 2026
3 Weeks
AI For Medical Treatment (Coursera) Coursera
DeepLearning.AI

AI For Medical Treatment (Coursera)

Embark on a transformative journey into the intersection of AI and medicine with 'AI For Medical Treatment' on Coursera. Gain practical skills in applying machine learning to diagnose patients more accurately, predict future health issues, and suggest effective treatments. This course is designed for healthcare professionals and data enthusiasts looking to leverage technology for better patient care.

Jun 22nd 2026
3 Weeks
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