
Crack the Google Cloud Generative AI Leader exam with 300 mock questions on Google AI offerings and Generative AI Basics
Course Description
Get fully prepared for the Google Cloud Generative AI Leader certification with this complete practice exam course. It’s built to give you real exam-style experience while strengthening your understanding of Generative AI concepts and Google Cloud tools.
What’s inside:
Six Full Practice Tests – Practice across every topic area with questions designed to feel like the real exam.
Practice Like the Real Exam – Full-length mock tests designed to mirror the real experience and build your exam confidence.
300 Fresh Questions to Sharpen Skills – Test your grasp of Generative AI and Google Cloud with well-crafted, scenario-based questions.
Build Exam-Day Readiness – Gain the knowledge, rhythm, and confidence needed to walk into the test fully prepared.
Track Your Progress Easily – See your scores and weak areas to focus on what needs the most attention.
Aligned with the Latest Exam Guide – Covers every domain from the current certification syllabus for focused preparation.
Six Full Practice Tests – Practice across every topic area with questions designed to feel like the real exam.
Practice Like the Real Exam – Full-length mock tests designed to mirror the real experience and build your exam confidence.
300 Fresh Questions to Sharpen Skills – Test your grasp of Generative AI and Google Cloud with well-crafted, scenario-based questions.
Build Exam-Day Readiness – Gain the knowledge, rhythm, and confidence needed to walk into the test fully prepared.
Track Your Progress Easily – See your scores and weak areas to focus on what needs the most attention.
Aligned with the Latest Exam Guide – Covers every domain from the current certification syllabus for focused preparation.
Topics You’ll Practice
Basics of Generative AI (concepts, Generative AI, ML, development lifecycle)
Google Cloud Generative AI tools (Models, Gemini, Vertex AI, Agentspace, and more)
Improving AI results (prompt design, RAG, fine-tuning)
Business use cases of Gen AI (responsible AI, security, adoption strategies)
Basics of Generative AI (concepts, Generative AI, ML, development lifecycle)
Google Cloud Generative AI tools (Models, Gemini, Vertex AI, Agentspace, and more)
Improving AI results (prompt design, RAG, fine-tuning)
Business use cases of Gen AI (responsible AI, security, adoption strategies)
Why this course?
You’ll be able to spot gaps in your knowledge, strengthen key areas, and build the confidence you need to pass the exam and lead AI projects using Google Cloud.
Start your practice today and move closer to becoming a certified Generative AI Leader!
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