HelloAI Professional
For practicing clinicians and healthcare professionals who work with AIHelloAI Professional is for practicing clinicians and healthcare professionals who work with AI, or are starting to, and want to apply it safely in real clinical and operational settings. One principle runs through it: the tool can be wrong, and you stay accountable.
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By the end of the module, you'll be able to:
- Reason clearly about what AI in healthcare actually is, where it's already changing care, and what generative AI and large language models do well and where they're confidently wrong.
- Practice AI responsibly: spot how bias enters a model, read AI research critically, integrate AI evidence into decisions, and protect your own clinical skills.
- Stay accountable when a tool is confident and wrong: see the value judgments built into a tool's settings, and keep human oversight that holds up on a busy shift.
- Understand the data, privacy, security, and regulation behind healthcare AI, and the questions to ask of any tool before you trust it.
- Know what it takes to deploy AI in practice: the roles, the organizational barriers, and how to measure whether a tool is actually helping or quietly drifting.
- Handle AI at the point of care, from radiology and ambient scribes to shared decisions, difficult conversations, and patients who arrive with their own AI answers.
Learning that fits your schedule.
54 short courses
About 14 hours, self-paced
Optional guest-expert talks
31 required courses. 23 optional.
Thirty-one short courses, about 5 hours in all, are required for your certificate. We group them here by topic. Another 23 optional courses add depth, most of them with guest experts. Open any group to see its courses. Everything is self-paced, and your progress is saved when you sign in.
Required for your certificate
Getting Started with AI
- A History of AI in Healthcare
- Introduction to AI Applications in Healthcare
- Why AI in Healthcare
- Why AI Fluency, and Why Now
- Generative AI and Large Language Models
- Clinical AI: Diagnostics, Risk, and Decision Support
Required for your certificate
Responsible & Safe AI
- Responsible AI in Healthcare
- How Bias Enters Healthcare AI
- Critically Evaluating AI Research
- Integrating AI Evidence into Clinical Decision Making
- Trust and Acceptance in Healthcare AI
- Protecting Your Clinical Skills in the Age of AI
- The Values Hidden in the Settings
Required for your certificate
Data, Privacy & Security
- How Much Data Does Healthcare Generate?
- Accessing Healthcare Data: Sources and Rules
- Data Governance in Healthcare AI
- Regulatory Requirements in Healthcare AI
- Privacy Risks and Liability in AI-Assisted Care
- Cybersecurity for Healthcare AI
Required for your certificate
Deploying AI in Practice
- Operational AI in Healthcare
- AI in Medical Devices
- Who Does What: Roles in Healthcare AI
- Organizational Readiness and Barriers to Healthcare AI
- AI Deployment and Implementation
- Measuring AI Value and Outcomes
Required for your certificate
AI at the Point of Care
- AI in Radiology
- Multimodal AI in Healthcare
- Ambient AI Scribes
- Shared Decision Making with AI
- Managing Difficult Conversations About AI
- Patient-Facing AI: When Your Patients Use AI
Optional courses
23 optional courses for extra depth
These add depth but aren't needed for your certificate. Most feature guest experts from across healthcare and AI.
Clinical applications
- What is New in AI Rheumatology · Dr. Ilfita Sahbudin
- AI's Role in Connecting Oral Health to Systemic Wellness · Dr. Gordon Barfield
- AI in Alzheimer's Disease Care · Dr. Wim Van Hecke
- Human Out of the Loop: Shortcutting Communication in Pulmonary Embolism Care
- AI-Assisted Medical Image Annotation
- AI in Ultrasound
AI foundations & frontier
- Agentic AI in Healthcare
- The Future Is Here: Generative AI for Healthcare · Dr. Bo Wang
- The ABCs of AI · Patricia MacTaggart
- Scaling AI in Healthcare: Generalization, Trust, and Access
- Physical AI in Healthcare: When AI Can Move
Technical concepts
- Transformer Networks: Attention, Vision, and the Encoder-Decoder
- How Diffusion Models Work
People, systems & impact
- The Economic Impact of AI in Healthcare
- A Sociotechnical System of Systems Lens · Prof. Xenophon Papademetris, Prof. Alka Menon
- The Importance of AI Awareness and Education for Creating Impact · Marieke van Buchem
- How AI Literacy Shapes the Social Fabric of Our Health · Amy Zolotow
- Collaboration in Healthcare AI: A MedTech Vendor View
- Operational AI: Predicting Missed Care Opportunities · Dr. Suzannah McKinney
- From AI Algorithm to AI Solution
Data, privacy & security
- Federated Learning · Dr. Francis Jeanson
- Protecting Health Data: Privacy and De-identification
More optional courses
- The Limits of Human Oversight