- Harvard
- Stanford
- Johns Hopkins
- MIT Sloan
AIMOCS compared with Harvard, Stanford, Johns Hopkins and MIT Sloan
Six rows, from each program's own published material. Rigorous and often excellent programs, weighed fairly.
AIMOCS is not affiliated with, endorsed by or sponsored by any institution named on this page. Names and logos identify the programs compared.
The programs, side by side
AIMOCS
- Last content review
- Syllabus v2026.Q3; all 129 lessons written Sep 2026
- Generative + agentic AI
- Core to two of four tracks: LLMs end to end, agentic AI engineering, scribes, golden-set evals, MCP, EHR agents, and governance. A separate course covers working with Claude
- What you build
- A hands-on exercise in every one of 129 lessons, across ten courses
- What continues after
- The member community, live events and replays, and the research briefing
- Format & time commitment
- Courses are self-paced for members. The cohort is live, one at a time
- Prerequisites
- None. The Build tracks start with programming foundations
Johns Hopkins
- Last content review
- Re-taught live with each 10-week online cohort [1]
- Generative + agentic AI
- Curriculum runs from LLMs to goal-directed agentic AI, plus an n8n masterclass [1]
- What you build
- Guided projects + masterclass build [1]
- What continues after
- Program ends at certificate [1]
- Format & time commitment
- Online certificate program, cohort-based [1]
- Prerequisites
- None stated [1]
Harvard
- Last content review
- Runs as a live 3-day program [2]
- Generative + agentic AI
- Curriculum covers generative AI; hands-on sessions are demonstrations [2]
- What you build
- Demonstrations only [2]
- What continues after
- Program ends at certificate; alumni events vary [2]
- Format & time commitment
- Live 3-day program [2]
- Prerequisites
- None stated; aimed at practicing clinicians [2]
Stanford
- Last content review
- Core content released 10 Aug 2023; CME renewed through 9 Aug 2029 [3a][3b]
- Generative + agentic AI
- No agentic-AI module in the published syllabus; core CME content released Aug 2023 [3][3a]
- What you build
- Recorded exercises + capstone [3]
- What continues after
- Program ends at certificate [3]
- Format & time commitment
- Self-paced specialization [3]
- Prerequisites
- None stated for the specialization [3]
MIT Sloan
- Last content review
- 6-week cohort course [4]
- Generative + agentic AI
- Published syllabus contains no generative or agentic modules [4]
- What you build
- Case discussions and a capstone assignment [4]
- What continues after
- Program ends at certificate [4]
- Format & time commitment
- 6 weeks, ~6–8 h per week [4]
- Prerequisites
- None stated [4]
Sources, checked 1 August 2026
- [1] Johns Hopkins: AI in Healthcare Certificate Program
- [2] Harvard Medical School: “AI in Clinical Medicine”
- [3] Stanford: AI in Healthcare Specialization (Coursera)
- [3a] Stanford: Fundamental Machine Learning for Healthcare (CME first released 10 Aug 2023; renewed through 9 Aug 2029, as rechecked 9 Sep 2026)
- [3b] Stanford: Evaluations of AI Applications in Healthcare (same CME window)
- [4] MIT Sloan: Artificial Intelligence in Health Care (online short course)
Where these programs are ahead of us
A name on your CV
Each institution carries a name that needs no explanation.
Live and cohort teaching
Harvard runs live; Johns Hopkins re-teaches each cohort [1][2].
Start any day
Stanford's specialization is self-paced [3].
A certificate ends. The network continues.
Join the network to keep learning with colleagues after the course.