Practice
Workplace simulations and interview practice. Optional beyond the weekday lessons; studios embed selected scenarios. Everything simulated is labelled.
- 100scenarios
- 25capabilities covered
- 62 hof simulated work
- 150interview questions
Scenarios by capability100
Production incident
Senior code review
Stakeholder simulation
Messy real-world data
ADR centre
Live coding and SQL
- SQL gym: rolling and same-weekday features with window functions30 min
- Python gym: entity-safe lag and rolling features in pandas30 min
- SQL gym: consecutive nearly-full streaks and why the first query lies35 min
- Python gym: turning cumulative booking curves into pickup in pandas35 min
- SQL gym: booking pace against the same weekday last year40 min
ML system design
Ambiguous business case
Verbal defense
Statistical traps
Ablations
Decision theory and value
Robustness and stress tests
Paper reproduction
RAG evaluation workbench
LLM failure lab
- Unsupported citations and broken JSON in a claims assistant35 min
- Injected instructions and a looping helpdesk agent40 min
- A claims summariser that never saw its last document35 min
- A refund assistant that paid twice, in the wrong unit35 min
- An oversized voucher late in a long baggage-claim conversation40 min
Multi-agent company
End-to-end lifecycle
Golden test set and regression
Hiring committee
AI cost–quality
Agents vs workflows
Teach-back and Socratic interviewer
Executive presentation
Research reading protocol
- Read a churn paper before believing its abstract35 min
- Read an agent benchmark paper before adopting its framework35 min
- Does long context make retrieval obsolete? Read the claim40 min
- A language-model judge that agrees with humans 85% of the time35 min
- LoRA matches full fine-tuning: how much can 400 invoices show?35 min
Interview gym159
- Users of an internal HR-policy assistant report confident but wrong answers. Product wants to swap in a bigger LLM. How do you find out what is actually wrong before changing anything?senior15 min
- You are building an email assistant agent that reads incoming customer emails, looks up bookings and can send replies and issue travel vouchers.senior15 min
- A team proposes an autonomous agent to process flight-disruption refund requests end to end. The process has clear eligibility rules but messy inputs (free-text emails, attachments).senior12 min
- Your production RAG system uses a 1,024-dimension embedding model over 4 million chunks. The provider announces that the model will be retired in six months and offers a new model with a different…senior15 min
- An internal agent has 20 tools (booking lookup, fare rules, refunds, vouchers, email send, and so on), each with a short description and a JSON schema.senior15 min
- Whiteboard case. Design an internal RAG assistant for a company of 20,000 employees. Documents live in many systems (wiki, tickets, drive, HR) with their own permissions;senior35 min
- A research agent for an airline's network-planning team calls a search tool, a SQL tool and a spreadsheet tool in a loop, up to eight steps per task.senior15 min
- A support assistant answers policy questions with retrieval over the policy library. Policies are re-published under the same title, and the index contains the current version and up to two…senior15 min