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AI Training

Understand AI. Make it useful.

Two paths into practical AI: help your team work with today’s tools, or develop the technical judgment to build and evaluate medical AI systems.

FOR ORGANIZATIONS · AVAILABLE

AI Team
Enablement Sprint

For teams that have access to AI but need a clearer view of where it helps and how to use it in their everyday work.

  • Discovery and an AI Opportunity Map
  • Up to three practical workflow designs
  • Customized half-day workshop and follow-up clinic
  • Team AI Playbook and 30-day adoption plan
US$7,5002–3 weeks · Up to 20 participants
See the corporate program
FOR DEVELOPERS · IN DEVELOPMENT

Medical AI
Technical Clarity

A self-paced online course for data scientists, ML engineers, and software developers learning to develop and evaluate medical AI.

  • Define a clinical prediction problem
  • Audit data and avoid patient leakage
  • Build reproducible baselines and evaluate failure
  • Use AI tools while verifying their work
Prerecorded & self-pacedCourse materials in production · Enrollment not open
Explore the course plan

THE TEACHING APPROACH

A decision.
An experiment.
An explanation.

Practical understanding comes from asking a good question, trying an approach, and checking what the result actually means. Training connects ideas to the work you need to do.

Led by Cristiano Aguiar, Ph.D., with 15+ years in applied AI and mentoring experience in MIT Professional Education and Johns Hopkins University programs, delivered in collaboration with Great Learning.

LET’S FIND THE RIGHT STARTING POINT

What does your team need to understand?

Bring the problem, the idea, or the decision you’re working toward.

Book a 30-minute discovery call