Participante desde 2026
Govern Agent Access with Gemini platform
Earned Aug 6, 2026 EDT
Add Agents to Gemini
Earned Aug 5, 2026 EDT
Deploy Gemini with Workspace Data Sources and Model Armor
Earned Aug 5, 2026 EDT
Introdução ao Gemini Enterprise
Earned May 29, 2026 EDT
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.
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.
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
Neste curso, você vai conhecer o Gemini Enterprise, uma plataforma avançada que reúne agentes de IA, pesquisa enterprise, Gemini Notebook e acesso inteligente aos dados para resolver desafios organizacionais. Com exemplos reais e experiência prática, você vai aprender a aplicar os recursos do Gemini Enterprise nas demandas reais dos negócios, descrever a arquitetura dele e explicar como ele gerencia o acesso a dados e a privacidade para as diferentes funções.