Generative AI Leader — Information & Free Practice

US · Examination information

200 free questions · Answer explanations · No signup required

Generative AI Leader

Examination outline

Fundamentals of gen AI (30%)
- Describe core generative AI (gen AI) concepts and use cases
- Describe how various data types are used in gen AI and the business implications
- Identify the core layers of the gen AI landscape and the business implications
- Identify the use cases and strengths of Google’s foundation models
Google Cloud’s gen AI offerings (35%)
- Describe Google Cloud's strengths in the field of gen AI
- Describe how Google Cloud’s prebuilt gen AI offerings enable AI powered work
- Describe how Google Cloud’s gen AI offerings improve the customer experience
- Describe how Google Cloud empowers developers to build with AI
- Define the purpose and types of tooling for gen AI agents
Techniques to improve gen AI model output (20%)
- Describe how to proactively overcome foundation model limitations
- Describe prompt engineering techniques and how they drive better results
- Identify grounding techniques and their use cases
Business strategies for a successful gen AI solution (15%)
- Describe the Google Cloud-recommended steps to successfully implement a transformational gen AI solution
- Define secure AI and its importance in protecting AI systems from malicious attacks and misuse
- Describe the importance of responsible AI in business

Examination sources

This examination may be required or accepted as an alternative, depending on the license and application pathway.