The founding course / 01
AI in Oncology
Practice Foundations.
Understand the technology. Evaluate the evidence. Decide where AI belongs in your oncology workflow—and where to pause.
Beginner to intermediate · 8 modules · Self-paced
Your learning path
From the first question
to a defensible decision.
Move through four stages: understand, evaluate, apply and decide. Each module pairs a teaching point with practice before you continue.
Understand
What AI Is Good At, Bad At, and Dangerous At
Distinguish useful support from unsafe reliance.
Evaluate
Clinical Safety and Validation Floor
Ask whether evidence fits the intended use.
Evaluate
Data, Privacy, and Workflow Boundaries
Map the data, permissions and human review.
Apply
Oncology Workflow Fit
Measure the whole workflow, including review.
Apply
Buying, Governance, and Accountability
Name who approves, monitors and pauses a tool.
Decide
Applied Use-Case Memo
Turn an AI proposal into a reviewable memo.
Decide
Oncology AI Triage Board
Explain what should proceed, wait or stop.
Completion, clearly defined
A record of learning.
With clear boundaries.
Complete the course requirements and pass the final assessment to receive a downloadable, verifiable Certificate of Completion.
Oncology AI Academy
Certificate of Completion
The public certificate shows completion, not your numerical score. This is not CME, accredited training, medical advice or a professional credential.
Your next step
Be part of the founding cohort.
Tell us where AI meets your work. We’ll use your interest to shape the founding cohort and keep you informed about enrollment.
Joining the list does not enroll you or collect payment.
Explore Module 1 while you waitCourse faculty
Jivesh Sharma, M.D.
Medical Oncologist · OncologyIT Academy
Clinician-led education in practical AI, workflow safety, privacy and accountable adoption.