We've found 11 Cornell Online Education Programs codes, but none are tested yet. No shopper has reported back on these yet. Start with SUMMER50 and tell us how it went.
| Discount | Source | Freshness | Promo code |
|---|---|---|---|
| 30% off ANY AI Certificate | SourceYouTube video | Freshness | MOGHA30 |
Source Found by Wethriftover a year ago | |||
| 30% off with prepayment required | Source | Freshness | CYBERMONDAY |
Source From ecornell.cornell.edu Found by Wethriftover a year ago | |||
| $100 off now | SourceInstagram post | Freshness | COOK100 |
Source Found by Wethriftover a year ago | |||
| 25% off Plant-Based Nutrition Certificate | SourceInstagram post | Freshness | PLANTS25 |
Source Found by Wethriftover a year ago | |||
| 30% off enrollment by July 31 | Source | Freshness | LEARN30 |
| 20% off | Freshness | FOOD20 | |
| 15% off Plant-based Nutrition Certificate | Freshness | NUTRITION15 | |
| 30% off Cornell certificate program | Freshness | HOLIDAY30 | |
| 20% off Plant-Based Nutrition | SourceInstagram post | Freshness | WINTER20 |
| 25% off Plant-Based Nutrition Certificate | Freshness | CYBER25 | |
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About this page
Introducing a more honest way to find coupon codes
Every code has a history, and we track it
Codes fail for boring reasons: they expire, they only cover one category, they only apply to a first order. Calling any of them "verified" would be a guess dressed up as a fact. We publish the chance instead, built from checkout data and shopper answers, and we track it over time.
Likely not workingMixed resultsHigh chance of working
You'll find one of these charts on every code we list, tracking how it has performed over time.
When there is nothing worth trying, we say so
When we don't think there is a working code for a store, we say so right at the top of the page, before you spend time scrolling.
Good chance right now78%
Nothing likely right now9%
A code that works at breakfast can be dead by lunch. Nobody can promise otherwise, so we don't stamp anything here as "working" or "verified". We tell you the chance of a code working instead, based on real shopper feedback and data, and when the chance is poor we say that out loud.
