Arman Katia
Member since 2024
在 Google Cloud 實作 Cloud 安全防護措施：基礎知識
Earned Feb 16, 2026 EST
Google Cloud Security for the Public Sector
Earned Feb 16, 2026 EST
生成式 AI：瞭解基礎概念
Earned Jan 31, 2026 EST
生成式 AI：不只是聊天機器人
Earned Dec 29, 2025 EST
Advanced Conversation Design
Earned Nov 28, 2024 EST
對話設計基礎概念
Earned Nov 28, 2024 EST
Implement Enterprise Design Patterns with CX Agent Studio
Earned Nov 28, 2024 EST
Conversational AI Voice and Chat Integrations
Earned Nov 27, 2024 EST
[DEPRECATED] Advanced Performance Measurement
Earned Nov 24, 2024 EST
[DEPRECATED] Basic Performance Measurement
Earned Nov 23, 2024 EST
[Deprecated] Advanced Webhook Concepts
Earned Nov 23, 2024 EST
[DEPRECATED] Webhook fundamentals
Earned Nov 23, 2024 EST
完成 在 Google Cloud 實作 Cloud 安全防護措施：基礎知識 技能徽章中階課程， 即可證明您具備下列技能：運用 Identity and Access Management (IAM) 建立及指派角色、 建立及管理服務帳戶、啟用虛擬私有雲 (VPC) 網路中的私人連線、 運用 Identity-Aware Proxy 限制應用程式存取權、 運用 Cloud Key Management Service (KMS) 管理金鑰和已加密資料，以及建立私人 Kubernetes 叢集。
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Work Safer
With Work Safer, public sector organizations can benefit from a cloud first, zero trust security model that provides always up-to-date protection against cyber-attacks. The endpoint security covers mobile devices, desktop devices, Chromebook laptops, and meeting room hardware giving an elevated user experience for all users.
DDoS mitigation and network threat intelligence in Google Cloud
This session discusses mitigation techniques provided by Google Cloud to protect workloads from distributed denial-of-services (DDoS) attacks using Google Cloud Armor and its advanced threat intelligence features. Mitigation topics covered in this course include Adaptive Protection, bot management, rate limiting, and managed protection.
Assured Controls in Google Workspace
Assured Controls helps you meet compliance standards in regulated markets such as the public sector. Learn how you can control provider actions related to your data.
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生成式 AI：瞭解基礎概念是 Gen AI Leader 學習路徑的第二門課程。在本課程中，您將瞭解 AI、機器學習和生成式 AI 的差異，以及各種類型的資料如何協助生成式 AI 解決業務難題，進而掌握生成式 AI 的基礎概念。您還能深入瞭解 Google Cloud 因應基礎模型限制的策略，以及開發、部署安全且負責任的 AI 技術時面臨的主要挑戰。
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「生成式 AI：不只是聊天機器人」是 Gen AI Leader 學習路徑的第一門課程，沒有先修條件。本課程旨在帶領您超越對聊天機器人的基本認識，探索生成式 AI 能為貴組織帶來的真正潛力。您將瞭解基礎模型和提示工程等概念，這些都是發揮生成式 AI 威力的關鍵。本課程也會引導您思考重要事項，協助您為貴組織制定成功的生成式 AI 策略。
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In this course, you will learn the advanced conversational design principles for both the Voice and Caht channels to craft engaging and effective end-to-end experiences that emulate human-like interactions.
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這堂課程會介紹對話設計的基礎原則，協助您打造吸引人又有效的聊天機器人服務，模擬真人互動般的體驗。
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This course explores using enterprise design patterns to build scalable, reliable, and secure agents within CX Agent Studio. Additionally, it covers navigating the complete development lifecycle by deploying multi-layered application security and locking down cloud infrastructure perimeters. It details the core pillars of multi-turn session persistence and real-time audio supervision to facilitate safe, continuous conversational experiences.
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Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.
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In this course, you will learn about advanced methods and tools to monitor the performance of your virtual agents in Dialogflow CX
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This course explores the fundamentals of the feedback loop process for Virtual Agent development and introduces the native capabilities within Dialogflow CX that support it
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This course explores advanced technical considerations to optimize Webhook connectivity for comprehensive, end-to-end, Virtual Agent self-service experiences.
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In this course, you will learn the important role that different types of webhooks play in Dialogflow CX development, and how to effectively integrate them into your routine configuration of a Virtual Agent.
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