Information Technology Challenges
Explore information technology challenges on Ewance to develop skills companies are actively hiring for. Work on briefs covering cloud, infrastructure, security, and platform engineering.
Most Popular
- AnalysisBeginnerNew
Audit a Hiring-Screening Model for Demographic Bias
You receive: (a) inference API access to the production model (black-box), (b) a 12,000-resume audit benchmark with self-declared gender and age-band labels (consented, GDPR-com…
- Fairness Metrics
- Bias Auditing
- Model Evaluation
AI Ethics, Fairness, and Responsible AI - DesignBeginnerNew
Draft a Model Card for a Generative Image Product
You receive the model's training-data summary, evaluation metrics, intended-use statement, and known failure modes from the ML team. Write: (a) a 3-page plain-language model car…
- Model Cards
- Transparency Documentation
- Responsible Ai
AI Ethics, Fairness, and Responsible AI - ResearchBeginnerNew
Case-Study Analysis of a Public AI Incident
Pick one public AI incident (suggestions: a chatbot's harmful response that went viral, a facial-recognition false-arrest case, a financial-model bias scandal). Produce a 6-page…
- Incident Analysis
- Responsible Ai
- Case Study Research
AI Ethics, Fairness, and Responsible AI - StrategyBeginnerNew
Design an Internal AI-Use Policy for a Mid-Cap Bank
You receive the bank's existing IT-acceptable-use policy and a description of which AI tools are being rolled out (an internal Anthropic Claude wrapper for general use; a code-c…
- Ai Governance Frameworks
- Policy Design
- Responsible Ai
AI Ethics, Fairness, and Responsible AI 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
- StrategyBeginnerNew
Frame an AI Opportunity for a Mid-Cap Insurance Carrier
You receive: line-of-business P&Ls, customer-journey maps, and a list of 18 candidate AI initiatives the operating teams have proposed over the last year. Score each candidate o…
- Ai Workforce Strategy
- Opportunity Scanning
- RICE Prioritization
AI for Business and AI Product Management - DesignBeginnerNew
Build the PRD for an Internal RAG Knowledge Assistant
You receive: a description of the CS workflows (post-sale onboarding, escalation, renewal), an inventory of internal knowledge sources (Notion, Salesforce, Zendesk macros, 3 pro…
- Product Management
- RAG Architectures
- Evaluation Design
AI for Business and AI Product Management - StrategyBeginnerNew
AI Make-or-Buy Analysis for a Climate-Tech Series-B
You receive: the company's headcount and ML capability map, vendor RFP responses from 3 vendors per category, and 18-month strategic context. For each model category, build a ma…
- Ai Workforce Strategy
- Make Or Buy Analysis
- Vendor Evaluation
AI for Business and AI Product Management - DesignBeginnerNew
Design the Onboarding for a Consumer-AI Copilot App
You receive: current funnel analytics (1M trial sign-ups over the last 90 days, current activation rate, current D1/D7/D30 retention), a competitor teardown deck, and the founde…
- Product Design
- User Onboarding
- A/B Testing & Experimentation
AI for Business and AI Product Management - 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.
- AnalysisBeginnerNew
Cost-Model a Foundation-Model API Migration
You receive: 90 days of API logs (request volume, token distributions), the customer's golden eval set of 200 prompts, the incumbent and new pricing schedules, and quality ratin…
- Cost Modeling
- Ai Workforce Strategy
- Model Evaluation
AI for Business and AI Product Management - CodeBeginnerNew
Build a Math Intelligent-Tutoring Assistant for High Schoolers
You receive: a curated set of 40 algebra problems with worked solutions, the company's pedagogy rubric ('hint, don't reveal' principle), and a baseline 'just answer' chatbot for…
- Intelligent Tutoring
- Prompt Patterns
- Ai Agents
AI in Education and Learning Analytics - AnalysisBeginnerNew
Analyze a Learning-Analytics Dataset for At-Risk Detection
You receive an anonymized dataset of LMS engagement features (logins, assignment submissions, forum posts, video-watch time), grade history, and a binary label for end-of-semest…
- Learning Analytics
- Classification
- Fairness Metrics
AI in Education and Learning Analytics - DesignBeginnerNew
Design an Automated Essay-Feedback System
You receive 20 anonymized middle-school essays scored by 2 human teachers on a 4-dimension rubric (structure, evidence, voice, mechanics). Design an LLM-based feedback system th…
- Automated Assessment
- Rubric Design
- Prompt Patterns
AI in Education and Learning Analytics 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
- CodeBeginnerNew
Build a Credit-Card Fraud Detector for a Singapore Neobank
You receive 9 months of anonymized authorization data (around 8 million transactions, around 0.4 percent fraud) plus current rule outcomes. Split temporally and train at least t…
- Classification Modeling
- Class Imbalance
- Model Calibration
AI and Quantitative Finance - PresentationBeginnerNew
Pitch an LLM Earnings-Call Analyst to an Equity Long-Short Team
Pick 3 publicly available US tech earnings-call transcripts (from a free source like sec.gov filings or company investor-relations pages) and build a retrieval-augmented LLM wor…
- Prompt Patterns
- RAG Architectures
- LLM Evaluation
AI and Quantitative Finance - CodeBeginnerNew
Predict Catalyst Properties for a Green-Hydrogen Pharma Spinout
Use an open catalyst dataset (e.g., Open Catalyst Project subset, or a Materials Project pull) where each candidate has descriptors and a target activity property. Train a tabul…
- Tabular Modeling
- Uncertainty Quantification
- Feature Engineering
AI for Science and Engineering - CodeBeginnerNew
Implement a Constraint Solver for a Lisbon Tourism Scheduler
Model the next-week schedule as a CSP: variables are (guide, day, slot) assignments; domains are available routes; constraints encode language requirements, max consecutive tour…
- Constraint Satisfaction
- Backtracking Search
- Python Or Javascript
Introduction to Artificial Intelligence - CodeBeginnerNew
Reason about Drone Mission Plans with Probabilistic Logic
Build a small Bayesian network (around 12 nodes) capturing weather, no-fly-zone proximity, battery state, operator certification, and mission risk. Implement exact inference (va…
- Bayesian Networks
- Probabilistic Inference
- Knowledge Representation
Introduction to Artificial Intelligence - CodeBeginnerNew
Compare MDP Solvers for a Smart-Grid Battery Dispatch Pilot
Model home-battery dispatch as a finite MDP: state is (state-of-charge, hour-of-day, current price tier), actions are charge/hold/discharge with realistic efficiency losses, tra…
- Markov Decision Processes
- Value Iteration
- Policy Iteration
Artificial Intelligence: Principles and Techniques - StrategyBeginnerNew
Pitch a Regulatory Sandbox Application for an Edtech AI Product
Read the EU AI Regulation's regulatory-sandbox provisions. Pick a member-state sandbox program (Spain, Norway-as-EEA, or a German-state pilot are publicly documented options) an…
- Regulatory Analysis
- Ai Governance Frameworks
- Product Strategy
AI Law, Policy, and Regulation - CodeBeginnerNew
Build a Fairness Evaluation Harness for a Credit-Score Model
Implement a Python module that, given model predictions, ground truth, and group identifiers, computes demographic parity difference, equal-opportunity difference, predictive-pa…
- Algorithmic Fairness
- Statistical Evaluation
- Python Or Javascript
AI Measurement and Evaluation - 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…
- Experimental Design
- Statistical Evaluation
- Human Evaluation
AI Measurement and Evaluation - AnalysisBeginnerNew
Diagnose Churn Drivers for a B2B SaaS Workflow Tool
You receive three CSV exports: 18 months of weekly product-usage events for about 1,800 accounts, the full support-ticket history, and account firmographics (industry, size, pla…
- Exploratory Data Analysis
- Data Wrangling
- Feature Engineering
Applied Data Analysis and Practical Data Science - AnalysisBeginnerNew
Build a Reproducible Pricing Analysis for a DTC Skincare Brand
You receive 24 months of order-line data (around 480,000 lines), a Shopify-style customer export, and a discount-code log. Build a Python pipeline that produces: SKU-level price…
- Data Wrangling
- Exploratory Data Analysis
- Cohort Analysis
Applied Data Analysis and Practical Data Science - AnalysisBeginnerNew
Audit a Climate-Tech Sensor Dataset for Production Readiness
You receive 18 months of raw sensor readings from 1,200 sensors (about 800M rows), plus a sensor-metadata table (location, firmware version, deployment date). Profile the data f…
- Data Quality Audit
- Data Profiling
- Time Series Analysis
Applied Data Analysis and Practical Data Science
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.
Industry teams behind a decade of practitioner briefs
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Sponsor a challenge and meet candidates through actual work.
Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.