This comprehensive course bridges machine learning fundamentals with specialized healthcare AI applications, guiding students through the complete AI model lifecycle from data preprocessing to production deployment. You'll master core ML algorithms and deep learning architectures while gaining hands-on experience building medical imaging analysis systems, predictive models for patient outcomes, and clinical NLP applications using Azure AI services including Azure Machine Learning, Cognitive Services, and Computer Vision. The curriculum emphasizes healthcare-specific challenges including rigorous clinical validation methodologies that satisfy regulatory requirements, comprehensive bias detection and mitigation strategies to ensure equitable performance across diverse patient populations, and secure HIPAA-compliant data handling practices. Through practical labs and real-world case studies, you'll develop skills in model training, hyperparameter optimization, performance evaluation using clinical metrics (sensitivity, specificity, AUC), MLOps implementation with CI/CD pipelines, and creating compelling data visualizations that communicate AI insights to clinical stakeholders.
Machine Learning and AI Applications in Healthcare
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Machine Learning and AI Applications in Healthcare
This course is part of Microsoft Azure AI in Healthcare Professional Certificate
Instructor: Microsoft
Included with
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Build and deploy machine learning models using healthcare datasets and Azure AI tools.
Create predictive analytics solutions for patient outcomes and clinical decision support.
Evaluate and interpret AI models to ensure fairness, reliability, and actionable insights in healthcare.
Skills you'll gain
- Health Equity
- Azure Synapse Analytics
- Image Analysis
- Machine Learning
- Model Evaluation
- Predictive Analytics
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Visualization Software
- Responsible AI
- Data Presentation
- MLOps (Machine Learning Operations)
- Machine Learning Methods
- Model Training
- Medical Imaging
- Dashboard Creation
- Predictive Modeling
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2026
Taught in English
91% of learners achieved a positive career outcome
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Build your Machine Learning expertise
This course is part of the Microsoft Azure AI in Healthcare Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Microsoft
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