Turn learning into demonstrable evidence. Master Data Engineering and enterprise workflows by building real pipelines for a simulated business.
Live automation pipelines for Northline Supply Co.
Write your own data engineering scripts and connect them directly to your synthetic company's validated APIs.
Every successful automation generates verifiable portfolio evidence for your instructor and future employers.
Don't just write code in a vacuum. Deploy your ML models and automations into synthetic companies operating across major industry sectors.
Build fraud detection algorithms and automate financial reporting pipelines.
Process synthetic patient datasets and predict facility resource requirements.
Optimize inventory routing, predict churn, and automate vendor communications.
Train product recommendation engines and parse unstructured customer reviews.
Work inside a continuing synthetic business. Each module adds a new perspective, a new challenge and a new piece of evidence to your portfolio.
Name your company, configure its settings, and interact with simulated customers, products and native sales processes.
Clean and map synthetic data in Python. Build your own n8n workflows and deploy AI models against your company's live API.
Bring together records, analysis, decisions and reflection. Submit evidence for instructor review as your skills grow.
Your company address and prior work stay with you. Your instructor assigns scenarios and missions around your current courses and the capabilities you have already developed.
Explore the learning pathwaysReceive an instructor-assigned synthetic business context and source datasets.
Choose its name, configure the business and tackle your course missions.
Add new capabilities and evidence through future enrolments.