The vocabulary the exams and the daily work both assume you already have. Every entry gives the definition, the source it is drawn from, and the misreadings that follow from getting it wrong.
265 concepts, page 10 of 14
What counts as an impediment, why most of them are organisational and few are technical, and how a log turns a run of bad days into a visible pattern.
Project Management
Requirements articulate personas and their problems so the right thing gets built. A use scenario puts the problem in a story so the context travels with it.
Prioritisation
Bias, fairness, robustness, safety and veracity treated as things that can be measured and acted on, plus the legal exposure that arrives with generative output.
Artificial Intelligence
The shape a cohort traces over time, what a curve that flattens says about a durable audience, what a curve that reaches zero says about the absence of one, and how far apart day N, unbounded and bracket retention put the same cohort on the same data.
Metrics
A regular inspection of how the work is being done, conducted so that it produces one change with an owner, and never a list of complaints that nobody acts upon.
Project Management
Why every accuracy figure belongs to the data it was measured on, and what happens to a deployed model as the world drifts away from that data.
Artificial Intelligence
Richard Rumelt's three part structure for a strategy, covering the diagnosis of the obstacle, the guiding policy chosen to deal with it and the coherent actions that carry the policy out, and why the three have to chain.
Strategy
The validity check that runs before any result is interpreted, the chi squared arithmetic behind it, the five stages of an experiment where a mismatch is created and why a mismatched test is discarded.
Metrics
The minimum detectable effect, statistical power and the relationship that ties them to the number of people a test needs, a table running from a one per cent improvement to a fifty per cent one with the arithmetic shown, and what follows honestly for a product with modest traffic.
Metrics
The problem of supervising a system on work a person cannot check, the research directions aimed at it, and the control available in the meantime.
Artificial Intelligence
Why capability improves predictably with size while individual abilities appear abruptly, and what that does to the job of testing a model.
Artificial Intelligence
More teams on one product changes nothing about what a product is. One Product Owner, one Product Backlog, one Product Goal and one Increment survive the scaling, and dependencies become the work.
Scrum
Building a model of how work unfolds in time from activities, dependencies and durations, then reading the critical path, the float and the price of every compression it offers.
Project Management
Security across the machine learning lifecycle, what Google's Secure AI Framework is for and what it became, and the Google Cloud tools the Gen AI Leader exam expects a candidate to name.
Artificial Intelligence
Access control, encryption and the shared responsibility model applied to machine learning, plus the attack surfaces that only exist because there is a model in the path.
Artificial Intelligence
Cutting a population so an average stops describing nobody, the cuts that usually pay, and a worked case of Simpson's paradox where a signup rate improves on every device and the combined figure falls from 14.8 per cent to 12.9 per cent.
Metrics
Customers buy, users use, and they are often different people. Segmentation is how a product owner decides whose need wins when two needs conflict.
Discovery
The Scrum Team decides who does what, when and how, and the Scrum Master's job is to make that possible rather than to direct it.
Scrum
A way of leading in which the leader clears obstacles and supplies what the team needs to deliver, and leaves the detailed decisions about the work with the people doing it.
Project Management
Two ways a system does exactly what it was trained to do and still fails, and why that is harder to fix than disobedience would be.
Artificial Intelligence