Generative AI Leader Full Exam Course - CoursesDigest Training

Course Content

Section 1: Fundamentals of gen AI

1.1 Describe core generative AI (gen AI) concepts and use cases.

1.2 Describe how various data types are used in gen AI and the business implications.

1.3 Identify the core layers of the gen AI landscape and the business implications.

1.4 Identify the use cases and strengths of Google’s foundation models.

Section 2: Google Cloud’s gen AI oerings

2.1 Describe Google Cloud’s strengths in the eld of gen AI.

2.2 Describe how Google Cloud’s prebuilt gen AI oerings enable AI powered work.

2.3 Describe how Google Cloud’s gen AI oerings improve the customer experience.

2.4 Describe how Google Cloud empowers developers to build with AI.

2.5 Define the purpose and types of tooling for gen AI agents.

Section 3: Techniques to improve gen AI model output

3.1 Describe how to proactively overcome foundation model limitations.

3.2 Describe prompt engineering techniques and how they drive beer results.

3.3 Identify grounding techniques and their use cases.

Section 4: Business strategies for a successful gen AI solution

4.1 Describe the Google Cloud-recommended steps to successfully implement a transformational gen AI solution.

4.2 Define secure AI and its importance in protecting AI systems from malicious aacks and misuse.

4.3 Describe the importance of responsible AI in business.