Md Danish Ali
成为会员时间：2024
使用 Gemini 和 Streamlit 开发生成式 AI 应用
Earned Aug 21, 2026 EDT
使用智能体开发套件 (ADK) 构建 AI 智能体
Earned May 29, 2026 EDT
Advanced Conversation Design
Earned Dec 1, 2024 EST
对话设计基础知识
Earned Dec 1, 2024 EST
Implement Enterprise Design Patterns with CX Agent Studio
Earned Dec 1, 2024 EST
Conversational AI Voice and Chat Integrations
Earned Dec 1, 2024 EST
[DEPRECATED] Advanced Performance Measurement
Earned Dec 1, 2024 EST
[DEPRECATED] Basic Performance Measurement
Earned Dec 1, 2024 EST
[Deprecated] Advanced Webhook Concepts
Earned Nov 30, 2024 EST
[DEPRECATED] Webhook fundamentals
Earned Nov 30, 2024 EST
完成中级技能徽章课程“使用 Gemini 和 Streamlit 开发生成式 AI 应用”，展示您在以下方面的技能： 文本生成、通过 Python SDK 和 Gemini API 应用函数调用，以及通过 Cloud Run 部署 Streamlit 应用。 您将了解如何以不同方式通过提示来让 Gemini 生成文本、使用 Cloud Shell 进行测试，以及如何迭代 Streamlit 应用，随后将其封装成 Docker 容器并部署在 Cloud Run 中。
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完成本课程，赢取使用智能体开发套件 (ADK) 构建 AI 智能体中级技能徽章，展示您在以下方面的技能： 提出实际的语言模型研究问题；构建一个简单的词元化器；制作用于训练 Transformer 语言模型的数据集；运行小语言模型的训练循环。
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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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本课程将探讨对话设计的基本原则，助您打造引人入胜且有效的聊天机器人，模拟真人般的对话体验。
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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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