AI Integration in Healthcare

Coursera MOOC / Non-credit USD 49

Enroll now →

AI Integration in Healthcare

About this course

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.

What you'll learn

understanding key AI algorithms used in healthcare
skills in data preparation for AI modeling
knowledge of evaluation techniques for AI models

Skills you'll gain

machine learning decision making model evaluation algorithms unsupervised learning supervised learning health informatics ai in healthcare data preparation reinforced learning

Related courses

Generative AI for Executives and Business Leaders

Intelligent Agents and Search Algorithms

CPMAI Exam: 570+ Updated Practice Questions for 2026

Generative AI Cybersecurity & Privacy for Leaders

Internet of Things and AI Cloud

AI and Sustainability: Leading Responsibly

Introduction to Business Analytics: Communicating with Data

NVIDIA: Large Language Models and Generative AI Deployment

Course details are provided by the platform and may change — always confirm on the provider's site. Links may be affiliate links.