Exam 8 - Google Cloud Certified Generative AI Leader
Test your knowledge of how to proactively overcome foundation model limitations! Including common model challenges such as data dependency, knowledge cutoffs, bias, fairness issues, hallucinations, and edge cases; Google Cloud–recommended mitigation strategies like grounding, retrieval-augmented generation (RAG), prompt engineering, fine-tuning, and human-in-the-loop (HITL); and best practices for continuous monitoring and evaluation, including KPIs, model versioning, performance and drift monitoring, automatic upgrades, security updates, and tools such as Vertex AI Feature Store.
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Test your knowledge of how to proactively overcome foundation model limitations! Including common model challenges such as data dependency, knowledge cutoffs, bias, fairness issues, hallucinations, and edge cases; Google Cloud–recommended mitigation strategies like grounding, retrieval-augmented generation (RAG), prompt engineering, fine-tuning, and human-in-the-loop (HITL); and best practices for continuous monitoring and evaluation, including KPIs, model versioning, performance and drift monitoring, automatic upgrades, security updates, and tools such as Vertex AI Feature Store.