Why Choose This AI Certification?
Workforce training in AI governance is essential to equip healthcare professionals with the knowledge and skills to manage emerging AI risks effectively. This includes understanding how to mitigate potential biases, ensuring compliance with regulatory requirements, and safeguarding patient data. Additionally, well-trained teams are better equipped to oversee the ethical implications of AI decisions, thus fostering trust and transparency in AI-driven healthcare.
100% online and self-paced, designed for busy professionals
Specialized knowledge in AI healthcare compliance, a rapidly growing field.
Affordable cost for maximum career value.
“Through our collaboration with ALIGNMT AI, we’re committed to providing healthcare professionals with the foundational skills necessary to navigate the complexities of AI and make informed, ethical decisions that benefit both their organizations and patients.”
Todd Nelson, Chief Partnership Executive of HFMA
AI Governance Certification: An Overview
ALIGNMT AI’s Governance Certification equips healthcare professionals with the knowledge and tools to implement robust AI oversight frameworks. Specialized courses cover key topics such as regulatory compliance, risk mitigation, governance committee operations, and real-world monitoring of AI systems. Designed for technical, clinical, operational, and compliance professionals, the program provides actionable insights to ensure AI deployments are transparent, safe, and aligned with evolving regulations like ONC’s HTI-1.
Our Certification Credentials
Sample AI Certification Courses
Course 1 — Foundation: Enterprise AI Governance Essentials
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What you'll learn: By the end of this course, you'll be able to distinguish between the four types of healthcare AI (rule-based, machine learning, GPAI, and agentic) and how each type changes what governance has to look like; apply the five agentic AI governance guardrails to a deployment scenario; describe the opportunities AI creates across clinical, administrative, and population health functions; navigate the four-layer regulatory environment for healthcare AI; classify AI-related risks across technical, human factors, systemic, and agentic-specific categories; and use the NIST AI Risk Management Framework's four functions as the organizing structure throughout.
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Prerequisites: None.
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Estimated time: 58 minutes.
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Delivery method: Self-paced, online.
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Assessment & passing criteria: A final assessment with a minimum score of 80% required to pass. Missed questions may be retaken up to 4 attempts each.
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Technical requirements: A modern web browser and internet connection. Mobile-responsive and accessible on any device.
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Support: Questions before, during, or after this course can be directed to info at alignmt.ai
Course 2 — AI Governance Committee Operations
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What you'll learn: By the end of this course, you'll be able to run the committee's incident response process for a live AI safety event — selecting the right immediate actions, identifying the top investigation priority, and matching the correct message to each stakeholder group (clinical staff, patients, regulators, vendor); apply the correct weekly, monthly, quarterly, and emergency meeting cadence to specific governance activities; identify what must be documented under CMS's AI patient safety requirements; assign NIST AI RMF function ownership across committee roles; walk through the decommissioning checklist for a high-risk AI system; and distinguish data drift, algorithmic bias, and alert fatigue as related but separate incident signals.
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Prerequisites: None.
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Estimated time: ~1.25 hours.
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Delivery method: Self-paced, online.
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Assessment & passing criteria: A final assessment with a minimum score of 80% required to pass. Missed questions may be retaken up to 4 attempts each.
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Technical requirements: A modern web browser and internet connection. Mobile-responsive and accessible on any device.
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Support: Questions before, during, or after this course can be directed to info at alignmt.ai.
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