Google Cloud publishes exactly what the GenAI Leader tests and how much each part is worth. Here it is — every domain, its weight, the topics inside it, and the lessons that cover them.
Domain 1
Fundamentals of gen AI
Core generative AI concepts and use cases, data types, the gen AI landscape layers, and Google’s foundation models. Official (approximate) weighting ~30%.
4 topics in this domain
- Describe core generative 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
Domain 2
Google Cloud's gen AI offerings
Google Cloud's strengths in gen AI, its prebuilt offerings, customer-experience tools, developer platforms, and agent tooling. Official (approximate) weighting ~35%.
5 topics in this domain
- 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
Domain 3
Techniques to improve gen AI model output
Overcoming foundation-model limitations, prompt engineering, and grounding techniques. Official (approximate) weighting ~20%.
3 topics in this domain
- 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
Domain 4
Business strategies for a successful gen AI solution
Implementing a transformational gen AI solution, securing AI systems, and responsible AI in business. Official (approximate) weighting ~15%.
3 topics in this domain
- Describe the Google Cloud-recommended steps to implement a transformational gen AI solution
- Define secure AI and its importance in protecting AI systems
- Describe the importance of responsible AI in business