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Md Danish Ali

Participante desde 2024

Desenvolvimento de aplicativos de IA generativa com Gemini e Streamlit Earned Aug 21, 2026 EDT
Engenharia de agentes de IA com o Kit de Desenvolvimento de Agente (ADK) Earned May 29, 2026 EDT
Advanced Conversation Design Earned Dec 1, 2024 EST
Fundamentos do design de conversação 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

Conclua o selo de habilidade intermediário Desenvolvimento de aplicativos de IA generativa com Gemini e Streamlit para mostrar que você sabe gerar texto, aplicar chamadas de função usando o SDK do Python e a API Gemini e implantar um aplicativo do Streamlit com o Cloud Run. Você vai conhecer formas diferentes de usar comandos no Gemini para gerar texto, usar o Cloud Shell para testar e iterar em um aplicativo do Streamlit e depois colocar o app em um contêiner do Docker implantado no Cloud Run.

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Conclua o selo de habilidade intermediário Engenharia de agentes de IA com o Agent Development Kit (ADK) ao concluir este curso para demonstrar habilidades nas seguintes atividades: formular problemas de pesquisa de modelos de linguagem do mundo real, criar um tokenizador simples, preparar um conjunto de dados para treinar um modelo de linguagem de transformador e executar o loop de treinamento de um modelo de linguagem pequeno.

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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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Este curso aborda os princípios básicos do design de conversação para criar experiências de chatbot envolventes e eficazes que emulam conversas com pessoas.

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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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