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Stefan Avgoustakis

Member since 2021

Bronze League

9975 points
[CEPF L300 Course]: Security Earned Apr 5, 2025 EDT
Build a Certification Study Guide: PDE Exam Prep Earned Nov 29, 2024 EST
Introduction to Security in the World of AI Earned Aug 29, 2024 EDT
在 Google Cloud 實作 Sensitive Data Protection Earned Jul 18, 2024 EDT
在 Google Cloud 設定應用程式開發環境 Earned Jun 13, 2024 EDT
開始使用 Security Command Center Enterprise Earned Mar 18, 2024 EDT
生成式 AI 簡介 Earned Jul 13, 2023 EDT
DEPRECATED Cloud Architecture Earned Dec 30, 2021 EST

This Security course consists of a series of advanced-level labs designed to validate your proficiency in enterprise security. Each lab presents a set of the required tasks that you must complete with minimal assistance. You must score 80% or higher for each lab to complete this course, and fulfill your CEPF L300 Security requirement. If a green upgrade banner appears at the top of the page, follow the prompts to upgrade before continuing. If no banner is shown, you are already on the latest version. Required Labs: You only need to complete the labs marked as 'Required' to complete the course. Optional labs have no tag next to their titles; while recommended, they are not required. For technical issues with a Challenge Lab, please raise a Buganizer ticket using this CEPF Buganizer template: go/cepfl300labsupport

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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Data Engineer certification exam. You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.

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Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.

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完成 在 Google Cloud 實作 Sensitive Data Protection 技能徽章入門課程,證明您具備下列技能:使用 Sensitive Data Protection 服務 (包括 Cloud Data Loss Prevention API) 來檢查、遮蓋及去識別化 Google Cloud 中的機密資料。

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只要修完「在 Google Cloud 設定應用程式開發環境」課程,就能獲得技能徽章。 在本課程中,您將學會如何使用以下技術的基本功能,建構和連結以儲存空間為中心的雲端基礎架構:Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。

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本課程會完整說明 Google Cloud Security Command Center (SCC) Enterprise,這是一項雲端原生應用程式保護平台 (CNAPP) 解決方案,可幫助組織在各項 Google Cloud 服務中預防、偵測及因應威脅。 您將瞭解 SCC Enterprise 的核心功能,包括增強型威脅偵測功能、深度安全漏洞管理,以及整合式案件管理機制。 本課程也會介紹威脅管理和安全漏洞評估的基礎概念,並實際示範如何運用 SCC Enterprise 辨別、調查及修正多雲端環境中的安全風險。

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這個入門微學習課程主要說明生成式 AI 的定義和使用方式,以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具,協助您開發自己的生成式 AI 應用程式。

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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.

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