Library / Artificial Intelligence

Google Cloud Generative AI Leader: Course & Practice Exams

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About this course

This course contains the use of artificial intelligence. Generative AI is moving from experiments into everyday work: customer service, enterprise search, marketing, software delivery and decision support. This course gives you a business-level understanding of that landscape and prepares you for the Google Cloud Generative AI Leader certification exam, without asking you to become a machine learning engineer. The course follows the four domains of the current exam guide, with the most time on Google Cloud's gen AI offerings, the largest domain. Every lesson starts from a business situation, explains the ideas in plain language, shows the clue that points to the right answer (Exam Lens) and the tempting wrong answer to avoid (Trap), and ends with a short recap. You will learn: Fundamentals: AI, machine learning, deep learning, NLP, foundation models, data quality, the ML lifecycle and the five layers of the gen AI landscape. Google Cloud offerings: Gemini, Gemma, Imagen and Veo; the Gemini app, Gems, Gemini for Google Workspace, Gemini Enterprise and Gemini Notebook; Gemini Enterprise Agent Platform with Model Garden, Agent Studio and Agent Search; the Customer Engagement Suite; agents and their tools; pre-built AI APIs; and AI on the edge. Better output: prompting techniques from zero-shot to ReAct, grounding with your data and with Google Search, RAG, sampling settings, human in the loop, tuning and monitoring. Strategy: business value, requirements and resources, model choice, top-down plus bottom-up adoption, measuring impact, responsible AI, privacy and secure AI. Product names follow the exam guide published after Google's recent branding update. The course includes four section quizzes and two practice exams with 50 questions each. All questions are original study material written from Google's public exam guide and documentation.

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