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Sharad Kala

Membro dal giorno 2020

Campionato Argento

9734 punti
Performance Measurement Earned nov 6, 2025 EST
Customer Engagement Suite Implementation Bootcamps Earned feb 22, 2025 EST
Configure and Maintain CCaaS as an Admin Earned ago 4, 2024 EDT
Manage Functions and Reporting with CCaaS Earned ago 4, 2024 EDT
Conversation Design Fundamentals Earned ago 4, 2024 EDT
Handle Consumer Interactions with CCaaS Earned ago 3, 2024 EDT
[DEPRECATED] Advanced Performance Measurement Earned ago 2, 2024 EDT
[DEPRECATED] Basic Performance Measurement Earned ago 1, 2024 EDT
Transformer Models and BERT Model - Italiano Earned mag 11, 2023 EDT
Attention Mechanism - Italiano Earned mag 11, 2023 EDT
Introduction to Large Language Models - Italiano Earned mag 11, 2023 EDT
Introduction to Generative AI - Italiano Earned mag 11, 2023 EDT
Scaling with Google Cloud Operations Earned dic 7, 2022 EST
Modernize Infrastructure and Applications with Google Cloud Earned dic 7, 2022 EST
Digital Transformation with Google Cloud Earned dic 7, 2022 EST
Exploring Data Transformation with Google Cloud Earned dic 7, 2022 EST

This course explores the fundamentals of the feedback loop process for Conversational Agent development and introduces the native capabilities within Conversational Agents that support it. You will also learn about advanced methods and tools to monitor the performance of your Conversational agent in Conversational Agents.

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Details: This session is intended for customer-facing Googlers in Cloud GTM who are working with customers and partners on Customer Engagement Suite implementations. This training includes the following topics: Conversational Agents Implementation Agent Assist Implementation Insights Implementation Goal: Be able to assist customers and/or partners you are working with in implementing in these areas within the Customer Engagement Suite. Pre-Requisites: It is highly recommended that you’ve completed the following pre-reqs to ensure you have a solid foundation of knowledge to build upon in this training. Here are the pre-reqs suggested: Foundations for building Conversational Agents CCAI Architecture Introduction to Agent Assist and its GenAI Capabilities Agent Assist Voice and Integrations

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Configure and Maintain CCaaS as an Admin is a course that provides end users with essential learning about the core features, functionality, reporting, and configuration information most relevant to the role. This course is most appropriate for those who perform administrative functions to support the operation of the contact center as well as analyze, troubleshoot, and configure the platform to best meet the demands of customers. Although this program will review some monitoring and reporting aspects, those topics are explored in depth in the course titled "Managing Functions and Reporting with CCaSS." Explore other content in the Gemini Agent Ready (GEAR) program.

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Manage Functions and Reporting with CCaaS provides end-users with essential training about the core features, functionality, monitoring, reporting, and configuration information that is most relevant to the role. This course is most appropriate for those at the managerial level of the contact center who are tasked with monitoring the effectiveness, efficiency, and KPI attainment for all consumer interactions. While this program will review some aspects of settings and configuration options, the major focus is on reporting functionality in CCaaS.

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This course explores the foundational principles of conversation design to craft engaging and effective chatbot experiences that emulate human-like experiences. Explore other content in the Gemini Agent Ready (GEAR) program.

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This course teaches contact center agents about the core agent features and functionality in Contact Center as a Service (CCaaS). CCaaS is a unified contact center platform that accelerates an organization's ability to leverage and deploy contact centers without relying on multiple technology providers. This course is most appropriate for those who handle consumer interactions via chat and call.

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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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Questo corso ti introduce all'architettura Transformer e al modello BERT (Bidirectional Encoder Representations from Transformers). Scopri i componenti principali dell'architettura Transformer, come il meccanismo di auto-attenzione, e come viene utilizzata per creare il modello BERT. Imparerai anche le diverse attività per le quali può essere utilizzato il modello BERT, come la classificazione del testo, la risposta alle domande e l'inferenza del linguaggio naturale. Si stima che il completamento di questo corso richieda circa 45 minuti.

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Questo corso ti introdurrà al meccanismo di attenzione, una potente tecnica che consente alle reti neurali di concentrarsi su parti specifiche di una sequenza di input. Imparerai come funziona l'attenzione e come può essere utilizzata per migliorare le prestazioni di molte attività di machine learning, come la traduzione automatica, il compendio di testi e la risposta alle domande.

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Questo è un corso di microlearning di livello introduttivo che esplora cosa sono i modelli linguistici di grandi dimensioni (LLM), i casi d'uso in cui possono essere utilizzati e come è possibile utilizzare l'ottimizzazione dei prompt per migliorare le prestazioni dei modelli LLM. Descrive inoltre gli strumenti Google per aiutarti a sviluppare le tue app Gen AI.

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Questo è un corso di microlearning di livello introduttivo volto a spiegare cos'è l'AI generativa, come viene utilizzata e in che modo differisce dai tradizionali metodi di machine learning. Descrive inoltre gli strumenti Google che possono aiutarti a sviluppare le tue app Gen AI.

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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. This course explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Many traditional enterprises use legacy systems and apps that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems and investing in new products and services. This course explores these challenges and offers solutions to overcome them by using cloud technology. As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Digital transformation is a critical journey for modern organizations, and establishing a strong baseline in cloud computing is the first step toward driving meaningful innovation. Digital Transformation with Google Cloud introduces the core technologies and strategic frameworks that help organizations modernize their operations. This course explores fundamental cloud concepts, global network infrastructure, and the shared responsibility model to help leaders navigate their path to the cloud with confidence. As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Cloud technology is a powerful asset, and when paired with data, it becomes a catalyst for innovation and enhanced customer experiences. Exploring Data Transformation with Google Cloud examines how organizations can leverage the cloud to make their data more accessible, actionable, and valuable. As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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