Beginner Challenges
Real-world scenarios at the beginner level. Earn verified credentials as you practice the work your degree prepares you for.
- AnalysisBeginnerNew
Evaluate Speech-to-Text Quality for a Contact-Center Analytics Vendor
You receive 200 anonymized call-recording snippets (2-4 minutes each, ~67 per language) with reference transcripts plus a domain glossary of about 600 product terms. Run all thr…
- Speech Recognition
- Sequence Models
- Model Evaluation
Machine Perception - CodeBeginnerNew
Predict Subscription Churn for an EdTech Platform
You receive a CSV with about 18,000 student-month rows: features include login frequency, session length, quiz scores, parent app opens, and plan tier. The target is whether the…
- Supervised Learning
- Logistic Regression
- Gradient Boosting
Machine Learning (Undergraduate) - DesignBeginnerNew
Optimizing Inventory for a Toronto D2C Cosmetics Brand
Your task is to design a multidimensional data model (star schema) for inventory management, create an ETL pipeline to load sample data (provided as CSV files), and develop an O…
- Data Warehousing
- Etl
- Olap
Open coursework - StrategyBeginnerNew
Launch a Luxury Skincare Line for a Fashion House
Develop a go-to-market plan for a 5-SKU skincare line. Constraints: no animal testing; retail price between €80-€250; launch in France and the US initially. Success means achiev…
- Product Launch
- Pricing Strategy
- Luxury Distribution
Luxury Brand Management Practice your coursework on real scenarios.
Every challenge is shaped from real-world context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- CodeBeginnerNew
Implement Async Message-Passing for an IoT Gateway
Receive the current gateway source (Python 3.11, single-threaded paho-mqtt client + a serial HTTP forwarder, ~1,100 lines), a sensor-simulator that fans out 500 mock sensors at …
- Async Programming
- Message Passing
- Asyncio
Concurrent and Parallel Programming - AnalysisBeginnerNew
Predict 30-Day Churn for a Direct-to-Consumer Cosmetics Brand
Working only from the two materials you are given (a subscriber behavior sample dataset and a one-page stakeholder brief from the head of retention), build a binary classificati…
- Python
- Scikit Learn
- Logistic Regression
Open coursework - CodeBeginnerNew
Open-Domain QA over Product Documentation
You receive a snapshot of the documentation (Markdown) and 120 real support questions with the URLs of pages containing the answer. Build an open-domain QA pipeline: chunk the d…
- Open Domain Qa
- Passage Retrieval
- Reading Comprehension
Open coursework - ResearchBeginnerNew
Run a Human-Preference Study Comparing Two Coding Assistants
Design a blinded paired-comparison study: 12 developer participants, each gets the same 8 realistic coding tasks (refactor, write a function, debug, test), each task is solved b…
- Experiment Design
- Statistical Evaluation
- Human Evaluation
AI Measurement and Evaluation - Browse challenges
Explore role
Marketing Analyst
Plan and measure campaigns that grow the business. Funnel analytics, attribution, segmentation, and the rigorous measurement that lets marketing defend its budget at the leadership table.
- StrategyBeginnerNew
Launch Campaign for Singapore D2C Cosmetics Brand
You are the marketing intern at GlowSG. Your task is to develop a comprehensive campaign plan including media mix, budget allocation, key messaging, and a timeline. Success mean…
- Integrated Marketing Communication
- Media Planning
- Budget Allocation
Open coursework - AnalysisBeginnerNew
Hedging Currency Risk for a German Exporter
You are a junior financial analyst at Mittelstand GmbH. The company has a firm order of €10 million from a US client, payable in USD in 6 months, and a £5 million order from a U…
- Currency Hedging
- Derivatives Pricing
- Risk Management
Financial Markets and Institutions - CodeBeginnerNew
Build a Wake-Word Detector for a Smart-Speaker Startup
You receive a small public Japanese-speech dataset, 30 hours of recorded wake-phrase utterances from 50 volunteers, and 200 hours of background-noise recordings. Train a lightwe…
- Keyword Spotting
- Speech Recognition
- On Device Ml
Open coursework - AnalysisBeginnerNew
Audit a Hiring-Screen Classifier for Fairness Across Cohorts
You receive the classifier as a black-box API and a synthetic-but-realistic dataset of 8,000 CVs with imputed demographic proxies (gender, age band, regional cluster) and labele…
- Fairness Evaluation
- Disparate Impact
- Audit Methodology
Trustworthy AI, Robustness, and Safety Build a verifiable portfolio.
Submissions become evidence. Reviewers with shipping experience score against a rubric; the result becomes a credential anyone can verify.
Why Ewance
- AnalysisBeginnerNew
Stress-Test a Hiring-Funnel Model for Bias
You receive a synthetic-but-realistic dataset of 25,000 past applicants with features (years of experience, education tier, prior role tags) and outcome labels (advanced past th…
- Model Evaluation
- Fairness Metrics
- Logistic Regression
Machine Learning (Undergraduate) - AnalysisBeginnerNew
Cache Configuration Study for a Memory-Bound Workload
Profile the existing inner loop on a workstation with perf to baseline L1/L2/L3 miss rates and miss latencies. Run the same loop through gem5's classic cache model under 6 confi…
- Caches
- Memory Subsystems
- Performance Modeling
Computer Architecture - DesignBeginnerNew
Design a Hybrid Work Model for a Bangalore D2C Cosmetics Startup
Your task is to develop a hybrid work model for the startup. Analyze the current remote work challenges, propose a structured hybrid schedule (e.g., fixed office days, core coll…
- Hybrid Work Design
- Remote Team Management
- Organizational Culture
Open coursework - AnalysisBeginnerNew
Optimizing Last-Mile Delivery for a Vienna D2C Cosmetics Brand
As a logistics consultant, you must analyze Glow Naturals' current delivery data (provided in a simulated dataset), identify bottlenecks, and propose an optimized last-mile stra…
- Last Mile Delivery
- Cost Benefit Analysis
- Route Optimization
Open coursework - AnalysisBeginnerNew
Refit a Pricing Model for an Insurance Comparison Site
You receive 9 months of quote-impression data (about 14 million events) with about 60 features and click labels. Refit logistic regression with elastic-net regularization plus a…
- Regularized Regression
- Feature Interactions
- Calibration
Statistical Machine Learning - AnalysisBeginnerNew
Streamlining Returns for a Tokyo D2C Cosmetics Startup
Your task is to model the current (as-is) returns process in BPMN, analyze it for inefficiencies, and design a to-be process that automates key steps, reduces handling time by 5…
- Bpmn Modeling
- Process Analysis
- Bottleneck Identification
Open coursework - StrategyBeginnerNew
Design a GmbH Governance Framework for a São Paulo Cosmetics Startup
Working only from the materials provided, design the governance framework for the startup's planned German holding company and explain how it resolves the current founder deadlo…
- Corporate Governance
- Shareholders Agreement
- Gmbh Law
Open coursework - CodeBeginnerNew
Ship a Churn-Prediction Mini-Project End to End
You receive a 12-month anonymized dataset of subscriber events (logins, lesson completions, payment history, support tickets) for around 200,000 users. Define churn precisely (n…
- Feature Engineering
- Model Evaluation
- Gradient Boosting
Open coursework - CodeBeginnerNew
Hybrid Search RAG for a HR-Policy Assistant
You receive 1,800 pages of policy documents (Markdown) and 150 labeled question-answer pairs with the gold source policy IDs. Build a hybrid retrieval pipeline: BM25 + dense emb…
- Hybrid Search
- Bm25
- Dense Retrieval
Open coursework - CodeBeginnerNew
Build a Video-Question-Answering Demo on a Budget
Pick the model (Video-LLaVA, VideoChat2, or LLaVA-Video) and justify on the A10G budget. Build a Streamlit demo: upload video, ask question, get answer with cited frame timestam…
- Video Language Models
- Multimodal Fusion
- Streamlit
Open coursework - PresentationBeginnerNew
Crafting a Persuasive Investor Pitch for a Madrid D2C Cosmetics Startup
Your task is to create a 10-slide investor pitch deck and a 5-minute spoken pitch. The deck must include a clear problem statement, solution, market size, business model, tracti…
- Persuasive Writing
- Presentation Design
- Storytelling
Open coursework - CodeBeginnerNew
Stack Five Models for a Kaggle-Style Forecasting Bake-Off
You receive a pseudonymized dataset of 24 months of daily shipment volumes across about 200 origin-destination lanes plus weather and holiday features. Train 5 base models, use …
- Ensemble Methods
- Time Series Forecasting
- Feature Engineering
Advanced Machine Learning
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
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