University of Colorado System
AI for Healthcare Systems Specialization
University of Colorado System

AI for Healthcare Systems Specialization

Learn to Apply AI in Healthcare. Master strategies and tactics for broad application of AI in healthcare organizations.

Jiban Khuntia

Instructor: Jiban Khuntia

Access provided by ExxonMobil

1,503 already enrolled

Get in-depth knowledge of a subject
4.2

(16 reviews)

Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.2

(16 reviews)

Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Build practical skills to design, evaluate, and apply AI solutions responsibly for healthcare’s most pressing challenges.

  • Harness AI and analytics to transform healthcare systems, improve decisions, and address real-world health challenges.

  • Develop the skills to model, design, and apply AI responsibly in advancing healthcare innovation and patient outcomes.

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Taught in English
Recently updated!

September 2025

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Specialization - 4 course series

What you'll learn

  • After completing this course, you will be able to describe what AI means for healthcare and health systems.

  • Understand how health systems broadly use AI for the enhancement of their capabilities.

  • You will also develop insights into the potential of AI to solve grand healthcare challenges.

Skills you'll gain

Category: Artificial Intelligence
Category: Predictive Modeling
Category: Machine Learning
Category: Chronic Diseases
Category: Digital Transformation
Category: Health Informatics
Category: Health Care
Category: Health Equity
Category: Health Systems
Category: Health Technology
Category: Healthcare Industry Knowledge
Category: Responsible AI

What you'll learn

  • Understand AI’s role in the Data-Information-Analysis-Decision (DIAD) process and how it enhances decision-making in healthcare.

  • Analyze the integration of AI-driven analytics and machine learning algorithms in healthcare models for predictive and operational intelligence.

  • Assess the challenges of AI implementation in healthcare, including data governance, workflow integration, and strategic alignment.

Skills you'll gain

Category: Artificial Intelligence
Category: Data-Driven Decision-Making
Category: Machine Learning Algorithms
Category: Machine Learning
Category: Analytics
Category: Applied Machine Learning
Category: Data Governance
Category: Real Time Data
Category: Business Analytics
Category: Predictive Analytics
Category: Health Informatics
Category: Health Information Management
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Digital Transformation
Category: Data Integration
Category: Health Technology
Category: Artificial Neural Networks
Category: Advanced Analytics
Category: Decision Support Systems

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

Category: Machine Learning
Category: Descriptive Analytics
Category: Unsupervised Learning
Category: Supervised Learning
Category: Artificial Intelligence
Category: Diagnostic Tests
Category: Predictive Modeling
Category: Data Mining
Category: Applied Machine Learning
Category: Human Factors (Security)
Category: Data Modeling
Category: Statistical Modeling
Category: Reinforcement Learning
Category: Machine Learning Algorithms
Category: Decision Support Systems
Category: Health Informatics
Category: Exploratory Data Analysis

What you'll learn

  • Understand the role of agentic AI and AI-driven agents in healthcare exploring their impact on automation, decision-making, and system optimization.

  • Apply theoretical concepts to real-world healthcare challenges, designing and executing a capstone project that addresses issues for patient care.

  • Develop a comprehensive AI-driven healthcare strategy.

Skills you'll gain

Category: Healthcare Ethics
Category: Responsible AI
Category: Agentic systems
Category: Artificial Intelligence
Category: Solution Design
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: AI Personalization
Category: Generative AI Agents
Category: Health Technology
Category: Predictive Modeling
Category: Generative AI
Category: Real Time Data
Category: Health Systems
Category: Data Ethics
Category: AI Product Strategy

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Instructor

Jiban Khuntia
University of Colorado System
4 Courses1,922 learners

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