Step into one of healthcare's fastest-growing entry-level support roles. This program builds your hands-on skills in Microsoft 365, Microsoft Copilot, Power BI, and Microsoft Foundry, all in the context of real healthcare AI workflows.
You'll learn to coordinate project work across Teams, SharePoint, Outlook, OneDrive, and Excel; draft meeting summaries and status updates with Microsoft Copilot using PHI-safe practices; read and interpret Power BI dashboards to monitor healthcare AI adoption; and review AI outputs from technical teams against Responsible AI and compliance checklists. A dedicated GenAI Literacy module covers responsible AI use in healthcare, and the program concludes with a Capstone in which you produce a project workspace blueprint and a first-30-day governance packet for an entry-level healthcare AI initiative.
By the end of the program, you'll be ready for entry-level roles such as Healthcare AI Coordinator, Clinical AI Project Coordinator, Healthcare AI Implementation Analyst, or Digital Health Project Coordinator—roles that build toward Healthcare AI Program Manager responsibilities over time.
This program is useful for career-changers, recent graduates, project managers, and healthcare professionals who want to support AI projects in healthcare settings. No prior AI development experience is required. General familiarity with professional workflows is helpful but not mandatory.
Applied Learning Project
Each long course includes a hands-on project that integrates skills from across that course into a portfolio-ready deliverable. Projects mirror real entry-level healthcare AI program management work: drafting a healthcare AI initiative brief; configuring a project workspace in Microsoft 365 with RAID logs and trackers in Excel; generating a Copilot-assisted status packet using PHI-safe practices; building a stakeholder engagement package; preparing a Power BI status readout; and reviewing AI outputs against a Responsible AI checklist.
The program closes with a Capstone focused on a single core deliverable—a project workspace blueprint plus first-30-day healthcare AI status and governance packet—with optional appendices to demonstrate breadth.
