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GAL exam guide for Generative AI Leader

Use this GAL guide to review Fundamentals of generative AI and Google Cloud's generative AI offerings, and additional exam domains, understand the practice format, and organize your preparation around the published skill areas.

About the GAL certification path

Practice generative AI fundamentals, Google Cloud AI offerings, model-output improvement techniques, and business strategies for successful AI solutions.

90 minutes70% practice target100 practice questions

Skills to study

Fundamentals of generative AI

Build practical confidence in Fundamentals of generative AI and use practice results to identify specific concepts that need more review.

Google Cloud's generative AI offerings

Build practical confidence in Google Cloud's generative AI offerings and use practice results to identify specific concepts that need more review.

Techniques to improve generative AI model output

Build practical confidence in Techniques to improve generative AI model output and use practice results to identify specific concepts that need more review.

Business strategies for a successful generative AI solution

Build practical confidence in Business strategies for a successful generative AI solution and use practice results to identify specific concepts that need more review.

GAL preparation workflow

  1. Use the free GAL practice test to establish a baseline.
  2. Review every explanation and group misses by the skill areas shown above.
  3. Study the official Google Cloud objectives and build hands-on experience.
  4. Repeat mixed practice and track whether weak areas improve.
Take the GAL practice test