Step into a Junior Machine Learning Engineer role and build a model that predicts a gas turbine's energy yield from real sensor data. You will frame the problem, engineer leakage-free features, train and honestly validate a model, tune it, and write a model card a hiring manager would trust. A case study on public data, not affiliated with Siemens Energy.

Become a German condition-monitoring engineer. A motor that sounds fine will seize in three weeks — hear the crack inside the bearing from a sensor on the outside. You build a real fault detector by hand in Python: engineer the vibration features, train a tiny classifier, locate the fault from its frequency signature, test it on bearings it never saw, and set an alarm threshold on cost. Physics-based synthetic data; not affiliated with or endorsed by Schaeffler.

Kickstart your career as a web engineer and ship predictor.html before kickoff: a single-file HTML+CSS+JS prediction game you write line by line in our WebGame Lab, then deploy to a live https URL. Real 2026 fixtures, your own 5/2/0 scoring engine, a bot whose brain you compute from real historical results, a localStorage leaderboard. Graded on scoring, real-data modelling, completeness, and deployment. Not affiliated with FIFA, SAP, the DFB, or GOAL.

Step into SAP's side as a Business AI Associate the morning a German manufacturer's line goes dark, and build the one-page Rescue Plan that diagnoses the real break, scopes a Joule-style copilot with honest guardrails, sizes the payback in euros, and earns a yes from the board. An independent ProoV case study, not affiliated with / endorsed by SAP SE; the customer is a fictional composite and every SAP figure is SAP-reported with public sources shown in-app.

In this German industry project, you build a five-section dossier: score a frozen detector on a synthetic detections table (proportions grounded in the public KITTI/nuScenes benchmarks) in Pyodide, find where pedestrian recall collapses, write the ISO 21448 SOTIF case, then sign the verdict against the real Uber Tempe 2018 crash.

A beginner-friendly intro to tokenized real-world assets — no finance or crypto background needed. Maya covers what tokenization is, the three common products (stablecoins, tokenized Treasuries, tokenized stocks), what can go wrong (depeg, custody, redemption), and you make a first plain-language call. An educational case study inspired by Ondo Finance — not affiliated with or endorsed by Ondo, BlackRock, Circle, or any regulator. Not investment advice.

A 3-week business-analytics sprint. As a junior analyst you investigate why Bosch revenue rose (€82bn → €96bn) while operating profit nearly halved (€11bn → €5bn) — forming hypotheses, auditing data, running SQL, building an executive dashboard, isolating root causes via a Pareto profit bridge, forecasting a recovery, and delivering a boardroom verdict. Capped by a real-world case study on Robert Bosch GmbH using public annual-report data.

Step into the seat of a Robotics Operations Engineer during Black Friday: coordinate a 200+ drive-unit fleet on a warehouse grid using A* search, reservation-table cooperative planning, and surge-aware charging policies. A Proov-owned educational case study inspired by Amazon Robotics (formerly Kiva Systems) - not affiliated with, endorsed by, or sponsored by Amazon.com Inc.

Step into a German SOC on the night shift. As a Tier-1 Security Operations analyst at Falkenstein Automotive, you follow a live intrusion from the first phishing click through log analysis, the kill chain, containment and the GDPR 72-hour breach clock — then meet the real case it is based on: Continental's 2022 LockBit breach, using public data only. You leave with a real incident report and a CompTIA Security+ / BSI readiness map.

Build ML models to predict resale values for VW Golf and Audi A4 using real UK market data. Compare Linear Regression with Random Forest and deliver business recommendations in this simulated case study.

An independent ProoV educational experience using BMW Group as a publicly documented SAP HANA customer (nominative reference). Scenarios and datasets are synthetic, for educational use only — not affiliated with, endorsed by, or sponsored by BMW Group AG or SAP SE. You play a database engineer at Vektor Data GmbH, a fictional consultancy, optimising the SAP HANA cluster behind ConnectedDrive's dealer dashboard: design the schema, rewrite slow SQL, benchmark the gain, and brief the CTO.

An independent ProoV case study using FC Barcelona (not affiliated or sponsored; figures are illustrative or synthetic unless publicly sourced). A beginner Data-Driven Management track that builds data literacy for business decisions — reading tables, shares, growth, and KPIs — with no coding or statistics needed. As a junior commercial analyst you learn how a club earns revenue, segments its fanbase, prices sponsorship assets, runs a negotiation, and proves a campaign worked with KPIs.

Build a strong foundation in Data Analytics and AI using a case study of the global German brand Adidas. In this project, you will explore how raw market data transforms into actionable insights, identify macroeconomic patterns, and train predictive machine learning models to forecast retail revenue like a professional.