Domain 4 of 4
Business Strategies for a Successful Gen AI Solution Choosing a solution for a business need and measuring whether it worked. The Secure AI Framework and the tools around it, then responsible AI as something a business answers for in practice.
Concepts in this domain
01 Adopting generative AI in a business Matching a solution type to a business need, the constraints that decide it, the steps to get it into an organisation, and how to measure whether it worked. 02 Secure AI and the Secure AI Framework 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. 03 Responsible AI in practice 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. 04 Transparency and explainability Why an accurate model nobody can explain is sometimes the wrong choice, the difference between the two words, and what a model card is for. Try a question from this domain
A leadership team wants to begin with generative AI and is debating which model to adopt. What should come first?
A Naming the business outcome to be moved and the constraints around it. B Selecting a model, since every later decision depends on it. C Choosing between building and buying. D Agreeing a budget for infrastructure. 9 questions on this domain.
One per page, with a worked explanation.
Start the set