Learn the work behind Data, AI & Forward Deployed Engineering
Practical explanations, career decisions and reproducible workflows. Read the reasoning, inspect the evidence and follow the next skill into a real programme.
Build a baseline before choosing a complex model
A baseline establishes what a simple, reproducible method achieves under the same target and evaluation conditions as a candidate model. Without that comparison, a standalone score does not show whether additional modell
Build a business glossary retrieval assistant
A business glossary assistant should return the right definition for the requested context, identify its version and ask for clarification when the term is unsupported. Retrieving a similarly worded paragraph is not enou
Build a chart annotation standard for recurring reports
A chart annotation standard should identify events that change how a reader interprets the data: definition changes, missing observations, provisional values, revisions and relevant operating context. Use consistent word
Build a command-line report with argparse
A command-line interface makes a report's inputs visible: source file, reporting period and output location become arguments rather than edits inside a script. That helps a colleague or scheduler reproduce the same opera
Build a customer health score without hiding missing inputs
A customer health score combines several signals into a summary for a particular decision. Its value depends on the quality of those signals, the meaning of the weights and the action attached to the result. A precise-lo
Build a data analyst portfolio around three defensible decisions
Build an analyst portfolio around decisions you can explain and defend: which number is trustworthy, what action the available evidence supports and whether a recurring report is ready for use. Three projects with clear
Build a data science resume with verifiable project evidence
A project bullet should help a reviewer ask a useful technical question. “Built a world-class churn model” has no defined comparison, evidence or scope. A smaller claim tied to a split manifest and metric file is easier
Build a delivery risk register with accountable owners
A risk register should change behavior. A list of generic concerns without triggers or owners becomes stale reporting and gives no one authority to act.
Build a deployment checklist for a student ML project
A deployment checklist should block unsupported claims. Passing model evaluation is necessary, but a service also needs schema, artifact, error, monitoring and rollback evidence. “Runs on my laptop” is a development mile
Build a distinct-customer measure with clear eligibility rules
A distinct-customer measure needs a population contract: which transactions qualify, which identifier represents a customer and how unknown identities are treated. Counting a customer dimension answers how many customer
Build a domain analytics capstone from a vague business question
A strong analytics capstone begins with a decision the available evidence can support. “Improve sales” is a business ambition, not yet an analytical specification. Convert it into a bounded question, state what data can
Build a durable workflow for a multi-day business process
A process that waits days for approval cannot depend on a live request, a model conversation or one worker’s memory. Durability comes from explicit state, persisted history and repeatable transitions. The model may propo
Not sure which programme fits?
Tell us your background and we will map it to the right entry point — including saying so when a cheaper programme is the better fit. A counsellor replies within one working day.