Member since 2026
生成式 AI 適用的機器學習運作 (MLOps)
Earned Jul 26, 2026 EDT
Introduction Google Security Operations (SOAR)
Earned Jul 26, 2026 EDT
Introduction to Google Security Operations (SIEM)
Earned Jul 26, 2026 EDT
Introduction to Google Security Operations: Unified SecOps
Earned Apr 19, 2026 EDT
本課程旨在提供必要的知識和工具，協助您探索機器學習運作團隊在部署及管理生成式 AI 模型時面臨的獨特挑戰，並瞭解 Vertex AI 如何幫 AI 團隊簡化機器學習運作程序，打造成效非凡的生成式 AI 專案。
This course introduces the SOAR component of Google SecOps, guiding learners through setup, response automation, and reporting. With demos, hands-on examples, and quizzes, participants will learn how to simplify investigations and make day-to-day security operations more efficient. The course is designed around short videos, averaging about five minutes each, divided into granular topics to support different learning styles and fit into the time learners have available.
This course provides a comprehensive, end-to-end exploration of Google SecOps SIEM, guiding learners from foundational concepts to advanced investigation and detection engineering. Participants will gain hands-on experience with data ingestion, normalization, RBAC configuration, searching, and dashboarding using both legacy and native capabilities. Through structured modules, demos, and curated examples, the course emphasizes real-world investigation workflows, UDM-based analytics, and YARA-L rule development. By the end of the course, learners will be equipped to operationalize SIEM effectively within their environment and build scalable processes for detection, investigation, and reporting.
This course provides a foundational introduction to Google SecOps, focusing on the platform’s architecture, deployment, and configuration. Partners will explore how SecOps integrates SIEM and SOAR components into a unified environment that enhances visibility, scalability, and security efficiency. Through short, hands-on videos and practical demonstrations, the course equips participants with the knowledge to plan and deploy SecOps environments confidently.