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Diego Diniz Ferreira Gomes

Учасник із 2026

Бронзова ліга

Кількість балів: 1363
Plan Change Management for Gemini Deployments Earned жовт. 16, 2026 EDT
Add Agents to Gemini Earned вер. 23, 2026 EDT
Govern Agent Access with Gemini platform Earned вер. 17, 2026 EDT
Deploy Gemini with Workspace Data Sources and Model Armor Earned вер. 17, 2026 EDT
Introduction to Gemini Enterprise Earned серп. 19, 2026 EDT
Іспит "Сертифікований викладач Google рівня 2" (A) Earned лип. 2, 2026 EDT
Іспит "Сертифікований викладач Google рівня 1" (A) Earned черв. 30, 2026 EDT

This course will guide you through designing customer engagements that result in successful, well-utilized Gemini deployments. Study the art of change management, how to identify and engage sponsors, recruit early adopters, help your customer identify and address cultural change challenges and skills gaps, and effectively deliver project communications. Additionally, learn how to support your customer to plan, offer, conduct, and evaluate end-user training, leverage partner resources, and create essential project documents.

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In this challenge lab, you will demonstrate your ability to add agents to Gemini. You will build an agent with Agent Designer, and you will build a no-code agent with Agent Development Kit, deploy it to Agent Engine, and add it to Gemini.

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In this challenge lab, you will act as a cloud engineer supporting the Cymbal Pools finance team. Your mission is to deploy a BigQuery-enabled agent to Agent Runtime to help process invoice data using natural language. Rather than building from scratch, you inherit an unsecured deployment. You must establish basic data governance by configuring the Agent Development Kit (ADK), deploying the agent with a dedicated SPIFFE identity, identifying permission blocks, and applying least-privilege IAM roles so the agent can safely query and update the BigQuery database from the Agent Runtime Playground.

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In this challenge lab, you act as a Security Engineer deploying a secure Gemini environment for Cymbal Bank. You will ground Gemini in web search and internal Workspace sources to ensure accurate, contextual responses. To maintain compliance, you will configure Model Armor policies to filter sensitive data and block threats like prompt injections and malicious URLs. Finally, you will manage specific end-user features to customize the AI experience safely

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This course introduces Gemini Enteprise, a powerful platform that brings together AI agents, enterprise search, Gemini Notebook, and intelligent data access to solve organizational challenges. Through real-world examples and hands-on exploration, learners will be able to connect Gemini Enterprise capabilities to real business needs, describe its architecture, and explain how it handles data access and privacy across roles. Explore other content in the Gemini Agent Ready (GEAR) program.

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Підтвердьте свій досвід роботи з інструментами Google і навички застосування передових технологій. Щоб скласти іспит для отримання статусу Сертифікованого викладача Google рівня 2 (A), виконайте наведені нижче завдання.

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Продемонструйте свої навички роботи з інструментами Google у класі! Щоб скласти іспит для отримання статусу Сертифікованого викладача Google рівня 1 (версія A), виконайте наведені нижче завдання й пройдіть тестування.

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