Google Cloud Generative AI Leader - Key Terminologies
Description
Essential terminology and vocabulary specific to the Google Cloud Generative AI Leader certification and the broader generative AI ecosystem.
Learning Objectives
Learners will master the essential terminology and vocabulary used in the Google Cloud Generative AI Leader certification including technical terms, business concepts, and Google Cloud-specific terminology to ensure clear communication and understanding in professional contexts.
Topics (5)
Comprehensive vocabulary covering LLMs, transformers, tokens, embeddings, fine-tuning, hallucinations, and other core generative AI concepts essential for professional communication.
Specialized vocabulary for Google Cloud AI ecosystem including Model Garden, AI Studio, Agent Builder, Vertex AI components, and integration terminology.
Business vocabulary covering AI use cases, value propositions, KPIs, governance frameworks, and strategic implementation concepts relevant to enterprise AI adoption.
Specialized vocabulary covering bias types, fairness metrics, explainability concepts, privacy techniques, and governance terminology essential for responsible AI practice.
Technical vocabulary covering prompt engineering, RAG, fine-tuning, security frameworks, monitoring metrics, and implementation concepts essential for technical discussions.