AI+ Healthcare Foundation™

Transform Healthcare with a Strong Foundation in AI-Driven Innovation
  • Essential Healthcare AI Literacy: Build a clear understanding of how artificial intelligence is transforming diagnostics, care delivery, patient engagement, and operational workflows across modern healthcare systems.
  • Safe & Responsible AI Use: Learn foundational principles for evaluating AI tools, ensuring accuracy, minimizing risks, upholding patient safety, and supporting ethical, compliant decision-making in clinical environments.
  • Data Foundations for Healthcare: Gain practical insight into healthcare data types, EHR systems, and the role of structured, high-quality clinical data in powering reliable AI applications.
  • AI in Public Health & Care Continuity: Explore how AI improves population health management, early detection, disease surveillance, and care coordination, strengthening outcomes across diverse patient communities.
  • Preparing for the Future of Care: Develop the knowledge needed to collaborate with clinicians and technologists, navigate emerging AI trends, and adapt confidently to the evolving digital healthcare landscape.

$195.00

High-Quality Video, E-book & Audiobook
Modules Quizzes
AI Mentor
Access for Tablet & Phone
Online Proctored Exam with One Free Retake
Hands-on Practices

Prerequisites

  • Basic Knowledge of Healthcare: Familiarity with medical terms, processes, and systems.
  • Data Analytics Skills: Proficiency in analyzing healthcare data for insights.
  • Understanding of AI Concepts: Awareness of machine learning, algorithms, and data-driven decision-making.
  • Basic Programming Skills: Ability to work with Python or similar programming languages.
  • Problem-Solving Abilities: Critical thinking to address healthcare challenges with AI solutions.

Exam Details

Exam Blueprint

ModulesPercentage
Introduction to AI20
Introduction to Prompt Engineering20
Data Handling and AI Modeling in Healthcare20
Ethical, Legal, and Societal Considerations20
AI Applications in Healthcare 20

Self Study Materials Included

Videos
Engaging visual content to enhance understanding and learning experience.
Podcasts
Insightful audio sessions featuring expert discussions and real-world cases.
E-Books
Comprehensive digital guides offering in-depth knowledge and learning support.
Audiobooks
Listen and learn anytime with convenient audio-based knowledge sharing.
Module Wise Quizzes
Interactive assessments to reinforce learning and test conceptual clarity.
Additional Resources
Supplementary references and list of tools to deepen knowledge and practical application.
Hands-on
Practical experience through real-world exercises, case studies, and applied learning.

Tools You'll Master

TensorFlow
Keras
Python
Healthcare Data Analytics Tools
Natural Language Processing (NLP) for Medical Text
SQL
Power BI
Healthcare System Integration Platforms
Machine Learning Algorithms for Healthcare
Electronic Health Record (EHR) Integration Tools
Predictive Analytics Platforms
AI-Powered Decision Support Systems
Medical Imaging AI Tools

What Will You Learn?

AI Fundamentals for Healthcare
Learn the core concepts of AI and machine learning, and how they can be applied to solve real-world challenges in healthcare.
Data Analysis and Healthcare Insights
Understand how to analyze healthcare data, derive actionable insights, and use AI tools to improve clinical decision-making and patient outcomes.
Healthcare System Integration with AI
Gain skills in integrating AI technologies into existing healthcare systems to optimize workflows, enhance efficiency, and improve patient care.
AI for Predictive Patient Monitoring
Learn to implement AI-driven solutions for real-time patient monitoring, enabling proactive care and early detection of potential health issues.
Ethics and Privacy in Healthcare AI
Understand the ethical considerations, privacy concerns, and regulatory guidelines involved in deploying AI technologies in healthcare, ensuring patient confidentiality and data security.

Certification Modules

Module 1: Introduction to Artificial Intelligence (AI)
  1. 1.1 Fundamentals of Artificial Intelligence
  2. 1.2 AI in the Healthcare Ecosystem
  3. 1.3 Case Study: Mayo Clinic’s Digital Transformation
  4. 1.4 Case Study: UnitedHealthcare’s Predictive Analytics
  5. 1.5 Case Study: Pfizer and COVID-19 Vaccine Development
  6. 1.6 Case Study: ACO Models in the U.S.
Module 2: Introduction to Prompt Engineering
  1. 2.1 Introduction to Principles of Effective Prompting
  2. 2.2 Giving Direction
  3. 2.3 Formatting Responses
  4. 2.4 Applying the Five Principles
Module 3: Data Handling and AI Modelling in Healthcare
  1. 3.1 Understanding Clinical Data Types—EHRs, Vitals, Lab Results
  2. 3.2 Structured vs. Unstructured Data in Medicine
  3. 3.3 Interactive Activity: AI Assistant for Clinical Note Insights
Module 4: Ethical, Legal and Societal Considerations
  1. 4.1 Introduction to AI Ethics and Social Implications
  2. 4.2 Bias and Fairness in AI
  3. 4.3 Privacy and Security in the Age of AI
  4. 4.4 Responsible AI Development
  5. 4.5 AI and Society: Looking Ahead
Module 5: AI Applications in Healthcare
  1. 5.1 Innovations in AI and Their Impact on Healthcare
  2. 5.2 Interdisciplinary Approaches
  3. 5.3 Preparing for the Future

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Industry Opportunities after Certification Completion

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Frequently Asked Questions

Yes, you’ll gain practical experience in applying AI to healthcare data analysis, system integration, and decision support, allowing you to contribute immediately to healthcare operations and improve patient outcomes.
This course focuses on the integration of AI into healthcare systems, with a strong emphasis on improving operational efficiency, predictive analytics, and clinical decision-making through AI-driven tools and data analytics.
You’ll work on projects such as healthcare data analysis, predictive modeling for patient outcomes, AI-powered decision support systems, and AI integration with Electronic Health Records (EHR) systems.
The course combines theoretical knowledge with hands-on practice, utilizing real-world case studies and healthcare projects to ensure you can apply AI tools effectively across different healthcare scenarios.
You’ll develop AI skills tailored to the healthcare industry, preparing you for roles in data analytics, healthcare system integration, AI-driven clinical decision support, and operations optimization within healthcare organizations.
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