AI Product
AI Product Designer
Designing for AI means designing for uncertainty. The interface has to invite the user to ask anything, but also signal honestly when the model is guessing, hallucinating, or refusing.
AI product designers shape those moments — the empty state of a chat, the disclosure on a suggestion, the gentle correction when a response is wrong. Good work here looks like an experience that feels collaborative rather than oracular, where people leave with more agency than they came in with.
Students grow into this role by treating accessibility and responsible-AI questions as design problems, not compliance checks. If you care about how language, trust, and visual rhythm meet on a screen, this is fertile ground.
- 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 - DesignIntermediateNew
Prototype an Explainability Panel for a Fintech Credit Assistant
You receive: the model's top-10 SHAP-style feature contributions per customer (a feature-importance technique that breaks an ML prediction into per-input contributions), the cur…
- Explainability Design
- Human Ai Interaction
- Figma Prototyping
Human-Computer Interaction for AI Systems - CodeBeginnerNew
Build a Real-Time Operations Wall Display for a Logistics AI Startup
You receive a websocket feed of operational events (around 20 events per second) plus a small KPI definition list (throughput per zone, late-truck count, exception queue depth, …
- Realtime Visualization
- Glanceability
- D3
Data Visualization - DesignIntermediateNew
Design and Pitch an LLM-Powered Tutoring Product
As a 4-person team, deliver: (1) a product concept anchored in Jobs-to-be-Done (when X, I want Y so I can Z); (2) a Figma prototype of the full flow; (3) a partially functional …
- Product Design
- User Research
- LLM Evaluation
AI Software Engineering Group Project 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
- DesignBeginnerNew
Privacy-Preserving Crowd-Density Estimator for Transit Stations
Use a public crowd-counting dataset (e.g., ShanghaiTech or JHU-CROWD) to train a small crowd-density estimator (CSRNet or similar). Wrap it in an on-device pipeline (Python is f…
- Crowd Counting
- Scene Understanding
- Privacy By Design
Visual Intelligence and Visual Reasoning - DesignIntermediateNew
Counterfactual Explanations for an Insurance Pricing Model
You receive a trained LightGBM regression model (premium in GBP), the feature schema (28 features, 14 mutable from the customer's side), and 500 sample quotes. Use DiCE (Diverse…
- Counterfactual Explanations
- Dice Ml
- Interpretability
Explainable and Interpretable AI - DesignBeginnerNew
Build a Participatory Budgeting Decision Tool for a City Government
You will design and prototype a participatory budgeting tool for one neighborhood pilot with around 30 candidate projects and a fixed EUR 2 million budget. Residents vote on wei…
- Participatory Decision Making
- Decision Support Systems
- Portfolio Optimization
Decision Support Systems and Decision Analysis - ResearchBeginnerNew
Build an Accessibility Checklist for a Voice Health Assistant
You receive 20 audio samples spanning accents and speech patterns, the assistant's published dialog state machine, and a list of current voice prompts. Audit the assistant for i…
- Accessibility (Wcag 2.2)
- Interaction Design
- Evaluation
Human-Computer Interaction for AI Systems - Browse challenges
Explore role
Product Manager
Ship product that solves real user problems. Combine user research, prototyping, and stakeholder alignment to turn ambiguous briefs into measurable wins — the role at the centre of modern software teams.
- DesignFoundationalNew
Stakeholder Workshop on AI Risk for a Public-Sector Pilot
You receive a description of the pilot (24/7 LLM chatbot answering questions on municipal services in Spanish and Catalan). Design a 3-hour workshop for around 25 mixed-stakehol…
- Stakeholder Management
- Workshop Design
- Responsible Ai
AI Ethics, Fairness, and Responsible AI - DesignBeginnerNew
Design a Model-Monitoring Dashboard for an MLOps Platform
You receive realistic 30-day metric streams for three production models (a classifier, a regressor, and a ranker) including prediction volume, latency p50/p95, accuracy or RMSE …
- Dashboard Design
- Visual Hierarchy
- Chart Selection
Data Visualization - DesignIntermediateNew
NSGA-II Multi-Objective Design for an Edtech Curriculum Recommender
You receive a synthetic student cohort (300 students with skill profiles), a content catalog (around 1,200 items with difficulty + duration + topic tags), and a simulator that e…
- Nsga Ii
- Multi Objective Optimization
- Metaheuristics
Evolutionary Computation and Metaheuristic Search - DesignBeginnerNew
Design a Trust-Calibration UI for a Domestic Assistive Robot
You will write the interaction patterns first (in a Notion brief), build a paper or Figma prototype, run 4 study sessions in week 2, iterate, and re-test in week 3. The interact…
- Trust Calibration
- Human Robot Interaction
- Interaction Design
Human-Robot Interaction 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
- DesignIntermediateNew
Co-Design a Trust Layer for an Enterprise RAG Assistant
You will plan and run a 5-day remote co-design study with eight pilot users (a mix of plant operators and middle managers). Sessions 1-2: discover where trust breaks down. Sessi…
- Co Design
- User Research
- Trust And Transparency
Human-Computer Interaction for AI Systems - ResearchBeginnerNew
Evaluate a Generative AI Image Tool with a Within-Subjects Study
You will write a study protocol, recruit 20 participants (a Discord callout is fine), counterbalance the two conditions, and run 45-minute sessions over Zoom. Collect three meas…
- Experimental Design
- User Study
- Within Subjects Design
Human-Computer Interaction for AI Systems - DesignBeginnerNew
Build an Attention-Visualization Tool for Translation Quality Audit
You will load a small open-source EN-FR transformer (e.g., Helsinki-NLP Opus-MT-en-fr), build a Streamlit or Gradio demo that lets the user paste English source, see the French …
- Attention Mechanisms
- Neural Mt
- Tool Design
Machine Translation - DesignSeniorNew
Prototype a Gaussian-Splatting Capture App for Consumer AR
You will design and prototype (no app-store deploy required) a 5-step capture-to-share flow: (1) capture about 60 photos with on-screen guidance, (2) upload to a backend job que…
- Gaussian Splatting
- Neural Scene Representation
- Product Design
3D Vision and Multi-View Geometry - DesignBeginnerNew
Conversational UI for a Personal-Finance Assistant
You will work from 4 scripted scenarios: 'how much did I spend on coffee last month', 'why did my rent payment fail', 'help me set up an emergency fund', and an out-of-scope 'is…
- Conversational Ui
- Dialogue Design
- Trust Design
Question Answering and Conversational Systems - 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 - 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 - DesignBeginnerNew
Redesign an AI Chat Sidebar for an Edtech Tutor
You receive a short Loom walkthrough of the live product, a CSV of 5,000 anonymized teacher-flagged sessions, and three teacher interview transcripts. Audit the existing sidebar…
- User Centred Design
- Heuristic Evaluation
- Interaction Design
Human-Computer Interaction for AI Systems - CodeBeginnerNew
Build an Interactive Carbon-Emissions Explorer for a Climate Nonprofit
You receive 20 years of harmonized European industrial emissions data (around 800,000 rows: country, sector, sub-sector, year, emissions in tons CO2e). Design and build an inter…
- Interactive Visualization
- D3
- Observable
Data Visualization - DesignBeginnerNew
Detect Sensor Drift for a Field Inspection Robot Fleet
You receive 60 days of telemetry from 12 robots, including IMU readings, camera exposure stats, and the inspection-quality scores produced downstream. Define drift signals (roll…
- Anomaly Detection
- Change Point Detection
- Sensor Fusion
Robot Perception and Autonomy
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.
Related roles you may want to explore
Browse all roles →AI Product
AI Product Manager
Shipping an AI feature is less like launching a button and more like releasing a new colleague into the company. AI product managers decide what that colleague is good at, where it shouldn't be trusted yet, and how to measure whether it's actually helping. The work blends classic product instincts — talking to users, sequencing roadmaps — with new muscles around evaluation metrics, annotation strategy, and the economics of inference. Strong PMs in this space write crisp definitions of done that include precision and recall alongside user outcomes. Students grow into this role by learning to read a model evaluation the way they'd read a usability test: with curiosity about what the numbers are hiding.
AI Product
AI Solutions Architect
Between a customer who wants "AI" and a cloud bill that won't bankrupt them stands the solutions architect. This is the person sketching whiteboards: which model, which vector store, which guardrails, which inference budget. The role is partly engineering and partly translation — taking what a business is trying to achieve and shaping it into a reference architecture that other teams can build against. Strong architects know that token economics matter as much as accuracy, and that a slow answer is often a wrong answer. Students grow into this path by getting their hands dirty with cloud services like Vertex AI or Bedrock and learning to defend architectural choices with numbers, not vibes.
Industry teams behind a decade of practitioner briefs
Hiring from this pool?
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.
Skills and disciplines shown on this page are derived from the Ewance challenge catalogue. When the median annual salary is available for this role via Adzuna, it will be shown above with the sample size and country.
Portrait: Photo by Laura Chouette on Unsplash.