AI for Technology Leaders - October 2026

This program occurs on the Fisher College of Business Campus on October 8, 2026. The deadline to register is September 24, 2026.

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Please read the cancellation policy below: *

All cancellations and transfers must be received in writing. Submit your request via email to
Stephanie Medors (medors.15@osu.edu) with the name of the program, followed by
“cancellation” or “transfer” in the subject line.

Cancellations must be made at least thirty (30) days prior to the first day of the
program in order to be eligible for a full refund.
Cancellations must be made at least fourteen (14) days prior to the first day of
the program in order to be eligible for a 50% refund.
Any cancellations made less than fourteen (14) days prior to the first
day of the program will forfeit the registration fee.
If you for any reason are unable to attend the program, please consider
sending someone in your place. Participants can transfer their registration to someone
else within their organization at no charge up to 24 hours before the first day of the program.

I agree to the cancellation policy

Price: $950.00

Your price: $700.00

Qty:

Technology leaders are now being asked to make AI decisions that used to belong to no one in particular: which application pattern fits the problem, which model to use, what it should cost to run, how to govern it, and whether it will ever return the investment. These are calls that reward strong technical instincts, and they require real AI-specific depth. This program supplies that depth.

It is a technical program, but not a coding program. It teaches you to reason about AI the way you already reason about architecture, cost, and risk everywhere else in your stack: choosing the right pattern for the problem, deciding when to build versus buy versus partner, controlling token and inference cost, enforcing governance and guardrails in the system rather than in a policy document, and translating a business ambition into a technical design and then back into measurable return.

You also learn alongside a cohort of accomplished technology executives from different industries and companies. Much of the value of the room comes from that: working through real decisions together, comparing how a pattern or a cost model plays out in a very different environment, and pressure-testing your own thinking against leaders who have solved adjacent problems in other contexts. You leave able to guide your engineers, challenge your vendors, and make the calls that decide whether an AI initiative delivers or drifts.