This course covers essential AI concepts in healthcare, starting with key algorithms and their role in decision-making. Learners will explore the craft of AI modeling, from data preparation to evaluation, and examine different model-based algorithms, based on the learning process, such as supervised, unsupervised, and reinforced learning algorithms.
AI Integration in Healthcare
AI Integration in Healthcare
This course is part of AI for Healthcare Systems Specialization
Instructor: Jiban Khuntia
Access provided by REBOOT
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
8 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Understand key AI algorithms and their applications in healthcare decision-making.
Learn the fundamentals of AI modeling, including data preparation, training, and evaluation.
Explore different AI model types and design principles for effective healthcare integration.
Skills you'll gain
- Diagnostic Tests
- Machine Learning Algorithms
- Statistical Modeling
- Applied Machine Learning
- Exploratory Data Analysis
- Supervised Learning
- Unsupervised Learning
- Data Modeling
- Descriptive Analytics
- Predictive Modeling
- Health Informatics
- Data Mining
- Artificial Intelligence
- Decision Support Systems
- Reinforcement Learning
- Human Factors (Security)
- Machine Learning
Details to know
Shareable certificate
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Assessments
4 assignments
Taught in English
Recently updated!
September 2025
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This course is part of the AI for Healthcare Systems Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
Provides hands-on understanding of learning algorithms, using supervised and unsupervised processes, tailored for healthcare data and applications.
What's included
5 videos1 reading1 assignment
Focuses on building effective AI models, from framing the problem to model training.
What's included
5 videos1 reading1 assignment
Explores categories of AI models, from predictive to diagnostic or descriptive systems.
What's included
4 videos1 reading1 assignment
Examines design principles for creating reliable and user-centered health AI systems.
What's included
4 videos1 reading1 assignment
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