Curated collection of the best courses for mastering AI in healthcare, from fundamentals to advanced clinical applications.
DeepLearning.AI / Coursera
Master deep learning fundamentals, including neural networks, CNNs, RNNs, and sequence models.
Coursera / Stanford
Comprehensive course covering CNN architectures for medical image analysis, including X-ray, CT, and MRI interpretation.
DeepLearning.AI
Build AI models for medical diagnosis including chest X-ray analysis and brain tumor detection.
Harvard Online
Learn to analyze clinical datasets, EHRs, and conduct healthcare analytics research.
Cochrane Training
Master the gold standard methodology for conducting systematic reviews and meta-analyses.
DeepLearning.AI / Coursera
by Andrew Ng
Master deep learning fundamentals, including neural networks, CNNs, RNNs, and sequence models.
Coursera / Stanford
by Stanford AI Lab
Comprehensive course covering CNN architectures for medical image analysis, including X-ray, CT, and MRI interpretation.
DeepLearning.AI
by Pranav Rajpurkar
Build AI models for medical diagnosis including chest X-ray analysis and brain tumor detection.
MIT OpenCourseWare
by MIT Faculty
Clinical machine learning applications including risk prediction, diagnosis support, and treatment optimization.
Google Cloud
by Google Health Team
NLP techniques for clinical text mining, medical record analysis, and literature synthesis.
Udacity
by AI Healthcare Team
Learn U-Net, nnU-Net, and transformer architectures for precise medical image segmentation.
IBM / Coursera
by IBM Skills Network
Foundation course for Python programming with focus on data science and AI applications.
TensorFlow
by Google Brain Team
Build production-ready healthcare AI models using TensorFlow and Keras.
Harvard Online
by Harvard Medical School
Learn to analyze clinical datasets, EHRs, and conduct healthcare analytics research.
MIT
by MIT CSAIL
Apply machine learning to drug discovery, molecular design, and pharmaceutical research.
Cochrane Training
by Cochrane Collaboration
Master the gold standard methodology for conducting systematic reviews and meta-analyses.
Fast.ai
by Jeremy Howard
Practical deep learning for radiology using PyTorch and fast.ai library.