Responsible AI
If you like applying Responsible AI, every challenge here gives you a chance to practice it on a real industry brief.
- 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 
StrategyFoundationalNewStrategy Memo on AI in University Assessments
You receive: the current academic-integrity policy, faculty survey data from 320 academic staff, a student survey of 1,800 students, and 3 case studies of how peer universities …
- Education Policy
- Ai Workforce Strategy
- Assessment Design
AI in Education and Learning Analytics- 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 - CodeIntermediateNew
Constitutional AI Critique Loop for Hallucination Reduction
You receive the meal-planning prompts (60 test cases with dietary constraints), an unrevised baseline (single-pass instruction-tuned model), and an empty nutrition-constraint co…
- Constitutional Ai
- Self Critique
- Alignment Prompting
Machine Learning from Human Preferences (RLHF and Alignment) 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
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 - ResearchIntermediateNew
Red-Team Evaluation of a Refusal Policy
You receive the lab's written refusal policy (version 2.3) and a starter set of 60 red-team prompts (10 per category). Extend the set to 240 prompts (40 per category) using docu…
- Red Team Operations
- Refusal Policy
- Alignment Evaluation
Machine Learning from Human Preferences (RLHF and Alignment) - 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 - 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 - 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.
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
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.