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Foundations of AI in Healthcare
Course
Foundations of AI in Healthcare
Gain a strong foundation in artificial intelligence for healthcare. Explore healthcare data, ethical considerations, and basic machine learning methods using realistic datasets. Enroll now!
Flexible Schedule
Intermediate Level
Mentor Support
Estimated Time
1-2 hours/week
Course Outline
Video: Course Introduction (3:30)
Reading: Course Overview
Video: Specialization Overview (4:30)
Reading: Learning Objectives and Syllabus
Reading: Grading Scheme
Module Introduction and Learning Objectives
Video: AI Evolution in Medicine: From Expert Systems to Deep Learning (4:08)
Reading: Enablers of Modern Medical AI
Activity: Connect the Pieces – Enablers of Healthcare AI
Video: AI and ML Fundamentals for Healthcare (4:50)
Neural Networks and Deep Learning in Medicine
Reading: Machine Learning Applications in Clinical Practice
Video: AI in Diagnostics and Clinical Decision Support (4:58)
Video: AI in Treatment and Patient Care (5:31)
Activity: Guiding a Hospital on AI Implementation
Module 1 Practice Quiz: Introduction to AI in Healthcare
Module Summary: Introduction to AI in Healthcare
Module 1 Graded Quiz: Introduction to AI in Healthcare
Module Introduction and Learning Objectives
Video: Medical Ethics in the Age of AI (6:00)
Activity: Navigating Medical Ethics in the Age of AI
Video: Bias, Equity, and Fairness in Healthcare AI (6:33)
Video: Ethical Decision-Making Frameworks for AI (6:15)
Lab: Detecting Bias in Medical Datasets
Activity: The Hidden Bias in Your Data
Video: Privacy-Preserving AI Technologies (5:55)
Video: Cybersecurity Framework for Medical AI (5:41)
Reading: Global Regulatory Landscape for Medical AI
Video: Risk Management and Quality Assurance
Reading: Regulatory Compliance Checklist
Activity: Privacy, Cybersecurity, and Regulatory Frameworks
Module 2 Practice Quiz: Ethics, Regulation, and Responsible AI in Healthcare
Reading: Module Summary: Ethics, Regulation, and Responsible AI in Healthcare
Graded Quiz: Ethics, Regulation, and Responsible AI in Healthcare
Module Introduction and Learning Objectives
Video: ML Workflow and Healthcare Applications (5:37)
Video: Supervised vs Unsupervised Learning in Healthcare (4:43)
Reading: Advanced ML Techniques for Medical Data
Video: Feature Engineering for Medical Data (4:54)
Video: Model Validation in Healthcare Settings (4:32)
Reading: Performance Metrics for Medical AI
Video: Clinical Decision Support Integration (4:34)
Video: Future of AI in Healthcare (4:54)
Reading: Implementation Success Factors
Lab: Building a Diagnostic Prediction Model
Activity: Detecting Sepsis Before It’s Too Late
Module 3 Practice Quiz: Machine Learning Applications in Healthcare
Reading: Module Summary: Machine Learning Applications in Healthcare
Module 3 Graded Quiz: Machine Learning Applications in Healthcare
Module Introduction and Learning Objectives
Reading: Final Project Overview
Peer-Review: Final Project Instructions
Reading: Comparing Your Work
Video: Course Summary (3:51)
Reading: Course Glossary
Final Exam
Congratulations and Next Steps
Reading: Team and Acknowledgements
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
Type of certificate
Certificate of Completion
About this course
04 Modules
04 Skills
Includes
Discussion space
02 Hands-on labs
09 Practice quizzes
03 Graded quizzes
01 Project
01 Final exam
Create
Early liver disease detection using AI
Exercises to explore
Jupyter notebook
Python
This course has been created by
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