CAIP (AIP-210) case studies
CAIP (AIP-210) · Put your knowledge to work in context.
The Certified Artificial Intelligence Practitioner (CAIP) is CertNexus' BUILD-level certification in its AI product line. It is aimed at practitioners who want to demonstrate a vendor-neutral, cross-industry skill set in AI with a focus on machine learning - specifically the ability to design, implement, and hand off an AI solution or environment. The CAIP (AIP-210) case studies are 5 cases and about 2,938 words.
1Fraud Model Validation with Repeated Cards and Bursty Fraud
A payments processor has 18 months of card-not-present transactions: 42 million rows and a 0.28% fraud rate. The data science team trains a gradient-boosted classifier on a random 80/20 split and reports ROC-AUC 0.986 and PR-AUC 0.71.
656 words, about 3 min2Intermittent Demand and Cold-Start Forecasting for Grocery Replenishment
A regional grocery chain operates 240 stores and forecasts 18,000 store-SKU combinations weekly. About 60% of series have zero sales in more than half of weeks, and 1,200 new items launch each year.
569 words, about 3 min3Churn Model Degradation After a Billing Migration and Delayed Labels
A B2B SaaS company deployed a churn propensity model nine months ago. At launch, offline AUC was 0.82; the latest out-of-time validation shows 0.74.
598 words, about 3 min4Support Ticket Classifier with Noisy Outage Labels
A SaaS support organization has 200,000 historical tickets labeled into 14 routing categories by an offshore vendor. A quality audit of 1,000 tickets finds 9% labels disagree with an internal taxonomy expert; disagreement is 31% for the outage category and 4% for billing.
536 words, about 3 min5Real-Time Fraud Scoring Under a 120 ms Latency Budget
A retail bank has a fraud scoring model used at online checkout. The current model is a 2.1 GB ensemble of 40 gradient-boosted trees plus a feature pipeline that joins 12 real-time aggregates from Redis and a customer profile table.
579 words, about 3 min