Domain 1 of 4

Fundamentals of Gen AI

The vocabulary, the three ways a model learns, the machine learning lifecycle, how a team chooses a foundation model for a use case, what data quality means in practice, the five layers of the landscape and Google's own models.

7
Concepts
~30%
Of the exam
18
Practice questions
Concepts in this domain
01Supervised, unsupervised and reinforcement learningThe three ways a model learns, what each one needs from the data, and how to tell which problem is actually in hand.02The machine learning lifecycleThe stages between a business question and a model in production, why the work does not stop at deployment, and where each cloud vendor's tooling sits along the line.03Foundation models and how they workTokens, embeddings and transformers explained for somebody who has to make decisions about a model, with nothing in it about building one.04Choosing and configuring a foundation modelThe criteria that actually separate one model from another, and what temperature, top p and output length do to the answers that come back.05Data for generative AIWhat makes data usable by a model, the difference between structured and unstructured data and between labelled and unlabelled data, and why accessibility decides more projects than volume does.06The five layers of the gen AI landscapeInfrastructure, models, platforms, agents and applications, and why the layer an organisation buys at decides what it is responsible for.07Google's foundation modelsGemini, Gemma, Imagen and Veo, what each is for, and how an organisation chooses between an open model it hosts and a managed one it calls.
Try a question from this domain

A retailer wants a customer service assistant that answers from its own returns policy, checks an order in its warehouse system, and issues a refund where the policy allows it. Which layer of the gen AI landscape does this describe?

  • AModels, because a foundation model produces every response.
  • BAgents, because the system plans steps, calls tools and acts rather than only answering.
  • CInfrastructure, because it requires compute to serve requests.
  • DApplications, because customers interact with it directly.
18 questions on this domain.

One per page, with a worked explanation.

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