Configure and Maintain CCAIP as an Admin
Earned Feb 25, 2025 EST
Manage Functions and Reporting with CCAIP
Earned Feb 24, 2025 EST
Handle Consumer Interactions with CCAIP
Earned Feb 24, 2025 EST
Acelere a troca de conhecimento com o Agentspace
Earned Feb 20, 2025 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Feb 18, 2025 EST
Conversational Insights
Earned Jan 3, 2025 EST
Generative Playbooks
Earned Jan 1, 2025 EST
Incorporate Generative Features into Conversational Agent flows
Earned Jan 1, 2025 EST
Introduction to CES and Conversational Agents
Earned Jan 1, 2025 EST
Build generative virtual agents with API integrations
Earned Dec 28, 2024 EST
Building Complex Self-Service Experiences in Conversational Agents
Earned Dec 28, 2024 EST
Advanced Performance Measurement
Earned Dec 27, 2024 EST
Advanced Webhook Concepts
Earned Dec 27, 2024 EST
Agent Summarization (Custom)
Earned Dec 27, 2024 EST
Build deterministic Virtual Agent enhanced with data stores
Earned Dec 27, 2024 EST
Virtual FAQ with data store agents
Earned Dec 27, 2024 EST
Building Complex Self-Service Experiences in Conversational Agents
Earned Dec 15, 2024 EST
Conversational AI Voice and Chat Integrations
Earned Dec 15, 2024 EST
Integrate Agent Assist with Telephony and Chatbot Systems
Earned Dec 15, 2024 EST
Introduction to Agent Assist and its GenAI Capabilities
Earned Dec 15, 2024 EST
Conversational Agents Quality Assurance and Deployment Lifecycle
Earned Dec 15, 2024 EST
Stateful Flows
Earned Dec 15, 2024 EST
Basic Performance Measurement
Earned Oct 21, 2024 EDT
Webhook fundamentals
Earned Oct 21, 2024 EDT
Conversation Design Fundamentals
Earned Oct 19, 2024 EDT
DFCX Virtual Agent Delivery Framework
Earned Oct 19, 2024 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned Oct 18, 2024 EDT
Customer Engagement Suite with Google AI Architecture
Earned Oct 17, 2024 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Jul 19, 2024 EDT
Pesquisa vetorial e embeddings
Earned Jul 19, 2024 EDT
Fundamentos da computação do Google Cloud: rede e segurança no Google Cloud
Earned Jun 14, 2024 EDT
Generative AI Fundamentals
Earned Feb 7, 2024 EST
Implementing Generative AI with Vertex AI
Earned Dec 7, 2023 EST
IA responsável: como aplicar os princípios de IA com o Google Cloud
Earned Dec 4, 2023 EST
Descobrindo a IA Generativa - Vertex AI
Earned Jun 13, 2023 EDT
Generative AI Fundamentals - Português Brasileiro
Earned Jun 12, 2023 EDT
Introdução ao Vertex AI Studio
Earned Jun 12, 2023 EDT
Introdução à IA responsável
Earned Jun 11, 2023 EDT
Introdução aos modelos de linguagem grandes
Earned Jun 9, 2023 EDT
Introdução à IA generativa
Earned Jun 9, 2023 EDT
Como criar modelos de legenda para imagens
Earned Jun 8, 2023 EDT
Arquitetura de codificador-decodificador
Earned Jun 8, 2023 EDT
Introdução à geração de imagens
Earned Jun 6, 2023 EDT
Modelos de transformador e modelo de BERT
Earned Jun 6, 2023 EDT
Mecanismo de atenção
Earned Jun 6, 2023 EDT
Contact Center AI: Conversational Design Fundamentals
Earned May 27, 2023 EDT
Virtual Agent Development in Dialogflow CX for Software Devs
Earned Jul 19, 2022 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned Jul 17, 2022 EDT
Virtual Agent Development in Dialogflow ES for Software Devs
Earned Jul 15, 2022 EDT
Virtual Agent Development in Dialogflow ES for Citizen Devs
Earned Jul 14, 2022 EDT
Customer Experiences with Contact Center AI
Earned Aug 19, 2021 EDT
Configure and Maintain CCAIP 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. While this program will review some monitoring and reporting aspects, those topics are explored in depth in the course titled, “Managing Functions and Reporting with CCAIP.”
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Manage Functions and Reporting with CCAI Platform 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 CCAI Platform.
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This course teaches contact center agents about the core agent features and functionality in Contact Center AI Platform (CCAIP). CCAIP is a unified contact center platform that accelerates an organization's ability to leverage and deploy CCAI 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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Com o Agentspace, você aproveita o melhor do Google em pesquisa e IA. Ele é uma ferramenta empresarial que ajuda as pessoas a encontrar informações específicas em documentos armazenados, e-mails, chats, sistemas de emissão de tickets e outras fontes de dados, tudo em apenas uma barra de pesquisa. O assistente do Agentspace também ajuda a criar ideias, fazer pesquisas, estruturar documentos e realizar ações como convidar colegas para um evento da agenda, agilizando os trabalhos intelectuais e todos os tipos de colaboração.
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This course on Integrate Vertex AI Search and Conversation into Voice and Chat Apps is composed of a set of labs to give you a hands on experience to interacting with new Generative AI technologies. You will learn how to create end-to-end search and conversational experiences by following examples. These technologies complement predefined intent-based chat experiences created in Dialogflow with LLM-based, generative answers that can be based on your own data. Also, they allow you to porvide enterprise-grade search experiences for internal and external websites to search documents, structure data and public websites.
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In this course you will learn how to leverage Conversational Insights to uncover hidden information from your contact center data to increase operational efficiency and drive data-driven business decisions. Please note Contact Center AI Insights were recently renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product name for Contact Center AI Insights.
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Explore Playbooks and their implementation of the ReAct pattern for building Conversational Agents. You will learn how to construct a Playbook, set up goals and instructions to build a chatbot in natural language, and learn to test and deploy your solution.
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Explore the Generative AI features for Conversational Agents and how to incorporate them into stateful Flows.
Discover the possibilities with Generators, Generative Fallback, and Data Stores, as well as best practices and security settings for using these features.
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This course explores the different products and capabilities of Customer Engagement Suite (CES) and Conversational agents. Additionally, it covers the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel.
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Demonstrate the ability to create and deploy generative virtual agents with natural language using Vertex AI Agent Builder and augment responses by integrating Gemini responses with third party APIs and your own data stores
You will use the following technologies and Google Cloud services:
Vertex AI Agent Builder
Gemini
Cloud Functions
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This course will equip you with the tools to develop complex conversational experiences in Conversational Agents capable of identifying the user intent and routing it to the right self service flow.
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In this course, you will learn about advanced methods and tools to monitor the performance of your Conversational agent in Conversational Agents. Please note Dialogflow CX was recently renamed to Conversational Agents and this course is in the process of being updated to reflect the new product name for Dialogflow CX.
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This course explores advanced technical considerations to optimize Webhook connectivity for comprehensive, end-to-end, Conversational Agent self-service experiences. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
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In this course you will learn how Conversational AI Agent Assist can help distill complex customer interactions into concise and clear summaries. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
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Demonstrate the ability to create and deploy deterministic virtual agents using Dialgflow CX and augment responses by grounding results on your own data integrating with Vertex AI Agent Builder data stores and leveraging Gemini for summarizations.
You will use the following technologies and Google Cloud services:
Vertex AI Agent Builder
Dialogflow CX
Gemini
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In this course, you'll learn to develop generative agents that answer questions using websites, documents, or structured data. You will explore Vertex AI Applications and understand the advantages of data store agents, including their scalability and security.
You'll learn about different data store types and also discover how to connect data stores to agents and add personalization for enhanced responses.
Finally, you'll gain insights into common search configurations and troubleshooting techniques.
Saiba mais
This course will equip you with the tools to develop complex conversational experiences in Conversational Agents capable of identifying the user intent and routing it to the right self service flow. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
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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 how Agent Assist can enhance the productivity of human agents while interacting with customers through the voice channel, as well as the options available for integration with other platforms in the Conversational AI ecosystem.
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In this course you will learn how Agent Assist can enhance the productivity of human agents while interacting with customers through the chat channel.
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This course explores the quality assurance best practices and the tools available in Conversational Agents to ensure production grade quality during Conversational Agent development, as well as the key tenets for the creation of a robust end to end deployment lifecycle. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
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Discover flows in Conversational Agents and learn how to build deterministic chat and voice experiences with language models. Explore key concepts like drivers, intents, and entities, and how to use them to create conversational agents.
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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. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational Agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, Virtual Agent, and CCAI Insights.
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In this course, you will learn the important role that different types of webhooks play in Conversational Agents development, and how to effectively integrate them into your routine configuration of a Conversational Agent. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
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This course explores the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
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This course explores the best practices, methods and tools to programmatically lead CCAI virtual agent delivery. It includes a high level overview of the end to end journey for building and deploying a virtual agent, as well as the core tenets to create a strong delivery culture. Additionally, this course covers the best practices for workflow management, defect tracking, release management and post-release support to ensure optimal virtual agent performance.
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This is an introductory course to all solutions in the Conversational AI portfolio and the Gen AI features that are available to transform them. The course also explores the business case around Conversational AI, and the use cases and user personas addressed by the solution. Please note Dialogflow CX was recently renamed to Conversational Agents and this course is in the process of being updated to reflect the new product name for Dialogflow CX.
Saiba mais
In this course you will learn the key architectural considerations that need to be taken into account when designing for the implementation of Conversational AI solutions. Please note Dialogflow CX was recently renamed to Conversational Agents and CCAI Insights was renamed to Conversational Insights.
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(This course was previously named Multimodal Prompt Engineering with Gemini and PaLM) This course teaches how to use Vertex AI Studio, a Google Cloud console tool for rapidly prototyping and testing generative AI models. You learn to test sample prompts, design your own prompts, and customize foundation models to handle tasks that meet your application's needs. Whether you are looking for text, chat, code, image or speech generative experiences Vertex AI Studio offers you an interface to work with and APIs to integrate your production application.
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Conheça aplicativos, ferramentas e tecnologias de pesquisa com tecnologia de IA neste curso. Aprenda a fazer pesquisa semântica usando embeddings de vetores, pesquisa híbrida combinando abordagens semânticas e por palavras-chave, e geração aumentada por recuperação (RAG), minimizando as alucinações artificiais da IA como um agente de IA embasado. Ganhe experiência prática com a pesquisa vetorial da Vertex AI para criar um mecanismo de pesquisa inteligente.
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Os cursos da Google Cloud Computing Foundations são direcionados para pessoas com pouca ou nenhuma formação ou experiência na área de computação em nuvem. Eles apresentam uma visão geral dos principais conceitos de nuvem, Big Data e machine learning, além de explicar onde e como usar o Google Cloud.
Ao final da série de cursos, os alunos serão capazes de articular estes conceitos e demonstrar algumas habilidades práticas.
Conclua os cursos na seguinte ordem:
1. Fundamentos da computação do Google Cloud: noções básicas da computação em nuvem
2. Fundamentos da computação do Google Cloud: infraestrutura no Google Cloud
3. Fundamentos da computação do Google Cloud: rede e segurança no Google Cloud
4. Fundamentos da computação do Google Cloud: dados, ML e IA no Google Cloud
Este terceiro curso abrange as ferramentas de automação e gerenciamento de nuvem e como criar redes seguras.
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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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This course will help ML Engineers, Developers, and Data Scientists implement Large Language Models for Generative AI use cases with Vertex AI. The first two modules of this course contain links to videos and prerequisite course materials that will build your knowledge foundation in Generative AI. Please do not skip these modules. The advanced modules in this course assume you have completed these earlier modules.
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Quanto maior é o uso da inteligência artificial empresarial e do machine learning, mais importante é desenvolvê-los de maneira responsável. Para muitos, falar sobre a IA responsável pode ser mais fácil, mas colocá-la em prática é um desafio. Se você tem interesse em aprender a operacionalizar a IA responsável na sua organização, este curso é para você.
Nele, você vai aprender como o Google Cloud faz isso hoje, além de analisar práticas recomendadas e lições aprendidas, a fim de criar uma base para elaborar sua própria abordagem de IA responsável.
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O curso Descobrindo a IA Generativa - Vertex AI é uma coleção de laboratórios sobre como usar a IA generativa no Google Cloud. Nos laboratórios, você vai aprender como usar os modelos da família da API Vertex AI PaLM, incluindo text-bison, chat-bison, e textembedding-gecko. Você também vai aprender sobre design de comandos, práticas recomendadas, e como isso pode ser usado para gerar ideias, classificar, extrair e resumir textos e muito mais. Saiba também como ajustar um modelo de fundação com um treinamento personalizado no Vertex AI e implantá-lo em um endpoint do Vertex AI.
Saiba mais
Receba um selo de habilidade ao concluir os cursos "Introduction to Generative AI", "Introduction to Large Language Models" e "Introduction to Responsible AI". Consiga a aprovação nos testes finais dos cursos para demonstrar seu conhecimento sobre os conceitos básicos da IA generativa.
Os selos de habilidades são digitais. Eles são emitidos pelo Google Cloud como forma de reconhecer sua capacidade de trabalhar com os produtos e serviços do Cloud. Torne seu perfil público e adicione os selos de habilidades às suas mídias sociais para mostrar seus conhecimentos.
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Neste curso, vamos conhecer o Vertex AI Studio, uma ferramenta para interagir com modelos de IA generativa, prototipar ideias comerciais e colocá-las em produção. Com a ajuda de um caso de uso imersivo, lições interessantes e um laboratório, você vai conhecer o ciclo de vida do comando à produção, além de usar o Vertex AI Studio para aplicativos multimodais do Gemini, design e engenharia de comandos e ajuste de modelos. O objetivo é permitir que você descubra todo o potencial da IA generativa nos seus projetos com o Vertex AI Studio.
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Este é um curso de microaprendizagem introdutório que busca explicar a IA responsável: o que é, qual é a importância dela e como ela é aplicada nos produtos do Google. Ele também contém os 7 princípios de IA do Google.
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Este é um curso de microlearning de nível introdutório que explica o que são modelos de linguagem grandes (LLM), os casos de uso em que podem ser aplicados e como é possível fazer o ajuste de comandos para aprimorar o desempenho dos LLMs. O curso também aborda as ferramentas do Google que ajudam a desenvolver seus próprios apps de IA generativa.
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Este é um curso de microaprendizagem introdutório que busca explicar a IA generativa: o que é, como é usada e por que ela é diferente de métodos tradicionais de machine learning. O curso também aborda as ferramentas do Google que ajudam você a desenvolver apps de IA generativa.
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Neste curso, ensinamos a criar um modelo de legenda para imagens usando aprendizado profundo. Você vai aprender sobre os diferentes componentes de um modelo de legenda para imagens, como o codificador e decodificador, e de que forma treinar e avaliar seu modelo. Ao final deste curso, você será capaz de criar e usar seus próprios modelos de legenda para imagens.
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Este curso apresenta um resumo da arquitetura de codificador-decodificador, que é uma arquitetura de machine learning avançada e frequentemente usada para tarefas sequência para sequência (como tradução automática, resumo de textos e respostas a perguntas). Você vai conhecer os principais componentes da arquitetura de codificador-decodificador e aprender a treinar e disponibilizar esses modelos. No tutorial do laboratório relacionado, você vai codificar uma implementação simples da arquitetura de codificador-decodificador para geração de poesia desde a etapa inicial no TensorFlow.
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Neste curso, apresentamos os modelos de difusão, uma família de modelos de machine learning promissora no campo da geração de imagens. Os modelos de difusão são baseados na física, mais especificamente na termodinâmica. Nos últimos anos, eles se popularizaram no setor e nas pesquisas. Esses modelos servem de base para ferramentas e modelos avançados de geração de imagem no Google Cloud. Este curso é uma introdução à teoria dos modelos de difusão e como eles devem ser treinados e implantados na Vertex AI.
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Este curso é uma introdução à arquitetura de transformador e ao modelo de Bidirectional Encoder Representations from Transformers (BERT, na sigla em inglês). Você vai aprender sobre os principais componentes da arquitetura de transformador, como o mecanismo de autoatenção, e como eles são usados para construir o modelo de BERT. Também vai conhecer as diferentes tarefas onde é possível usar o BERT, como classificação de texto, respostas a perguntas e inferência de linguagem natural. O curso leva aproximadamente 45 minutos.
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Este curso é uma introdução ao mecanismo de atenção, uma técnica avançada que permite que as redes neurais se concentrem em partes específicas de uma sequência de entrada. Você vai entender como a atenção funciona e como ela pode ser usada para melhorar o desempenho de várias tarefas de machine learning (como tradução automática, resumo de texto e resposta a perguntas).
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Welcome to "CCAI Conversational Design Fundamentals", the first course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to design customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will be introduced to CCAI and its three pillars (Dialogflow, Agent Assist, and Insights), and the concepts behind conversational experiences and how the study of them influences the design of your virtual agent. After taking this course you will be prepared to take your virtual agent design to the next level of intelligent conversation.
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Welcome to "Virtual Agent Development in Dialogflow CX for Software Devs", the third course in the "Customer Experiences with Contact Center AI" series. In this course, learn how to develop more customized customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to more advanced and customized handling for virtual agent conversations that need to look up and convey dynamic data, and methods available to you for testing your virtual agent and logs which can be useful for understanding issues that arise.
This is an intermediate course, intended for learners with the following type of role:
Software developers: Codes computer software in a programming language (e.g., C++, Python, Javascript) and often using an SDK/API.
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Welcome to "Virtual Agent Development in Dialogflow CX for Citizen Devs", the second course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to develop customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations using Dialogflow CX.
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Welcome to "CCAI Virtual Agent Development in Dialogflow ES for Software Developers", the third course in the "Customer Experiences with Contact Center AI" series.
In this course, learn to use additional features of Dialogflow ES for your virtual agent, create a Firestore instance to store customer data, and implement cloud functions that access the data. With the ability to read and write customer data, learner’s virtual agents are conversationally dynamic and able to defer contact center volume from human agents. You'll be introduced to methods for testing your virtual agent and logs which can be useful for understanding issues that arise. Lastly, learn about connectivity protocols, APIs, and platforms for integrating your virtual agent with services already established for your business.
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Welcome to "Virtual Agent Development in Dialogflow ES for Citizen Devs", the second course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to develop customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will use Dialogflow ES to create virtual agents and test them using the Dialogflow ES simulator. This course also provides best practices on developing virtual agents. You will also be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations. Through a combination of presentations, demos, and hands-on labs, participants learn how to create virtual agents.
This is an intermediate course, intended for learners with the following types of roles:
Conversational designers: Designs the user experience of a virtual assistant. Translates the brand's business requirements into natural dialog flows.
Citizen developers: Creates new business applications fo…
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Learn how to design, develop, and deploy customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You'll also learn some best practices for integrating conversational solutions with your existing contact center software, establishing a framework for human agent assistance, and implementing solutions securely and at scale.
Configure and Maintain CCAIP as an Admin
Earned Feb 25, 2025 EST
Manage Functions and Reporting with CCAIP
Earned Feb 24, 2025 EST
Handle Consumer Interactions with CCAIP
Earned Feb 24, 2025 EST
Acelere a troca de conhecimento com o Agentspace
Earned Feb 20, 2025 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Feb 18, 2025 EST
Conversational Insights
Earned Jan 3, 2025 EST
Generative Playbooks
Earned Jan 1, 2025 EST
Incorporate Generative Features into Conversational Agent flows
Earned Jan 1, 2025 EST
Introduction to CES and Conversational Agents
Earned Jan 1, 2025 EST
Build generative virtual agents with API integrations
Earned Dec 28, 2024 EST
Building Complex Self-Service Experiences in Conversational Agents
Earned Dec 28, 2024 EST
Advanced Performance Measurement
Earned Dec 27, 2024 EST
Advanced Webhook Concepts
Earned Dec 27, 2024 EST
Agent Summarization (Custom)
Earned Dec 27, 2024 EST
Build deterministic Virtual Agent enhanced with data stores
Earned Dec 27, 2024 EST
Virtual FAQ with data store agents
Earned Dec 27, 2024 EST
Building Complex Self-Service Experiences in Conversational Agents
Earned Dec 15, 2024 EST
Conversational AI Voice and Chat Integrations
Earned Dec 15, 2024 EST
Integrate Agent Assist with Telephony and Chatbot Systems
Earned Dec 15, 2024 EST
Introduction to Agent Assist and its GenAI Capabilities
Earned Dec 15, 2024 EST
Conversational Agents Quality Assurance and Deployment Lifecycle
Earned Dec 15, 2024 EST
Stateful Flows
Earned Dec 15, 2024 EST
Basic Performance Measurement
Earned Oct 21, 2024 EDT
Webhook fundamentals
Earned Oct 21, 2024 EDT
Conversation Design Fundamentals
Earned Oct 19, 2024 EDT
DFCX Virtual Agent Delivery Framework
Earned Oct 19, 2024 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned Oct 18, 2024 EDT
Customer Engagement Suite with Google AI Architecture
Earned Oct 17, 2024 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Jul 19, 2024 EDT
Pesquisa vetorial e embeddings
Earned Jul 19, 2024 EDT
Fundamentos da computação do Google Cloud: rede e segurança no Google Cloud
Earned Jun 14, 2024 EDT
Generative AI Fundamentals
Earned Feb 7, 2024 EST
Implementing Generative AI with Vertex AI
Earned Dec 7, 2023 EST
IA responsável: como aplicar os princípios de IA com o Google Cloud
Earned Dec 4, 2023 EST
Descobrindo a IA Generativa - Vertex AI
Earned Jun 13, 2023 EDT
Generative AI Fundamentals - Português Brasileiro
Earned Jun 12, 2023 EDT
Introdução ao Vertex AI Studio
Earned Jun 12, 2023 EDT
Introdução à IA responsável
Earned Jun 11, 2023 EDT
Introdução aos modelos de linguagem grandes
Earned Jun 9, 2023 EDT
Introdução à IA generativa
Earned Jun 9, 2023 EDT
Como criar modelos de legenda para imagens
Earned Jun 8, 2023 EDT
Arquitetura de codificador-decodificador
Earned Jun 8, 2023 EDT
Introdução à geração de imagens
Earned Jun 6, 2023 EDT
Modelos de transformador e modelo de BERT
Earned Jun 6, 2023 EDT
Mecanismo de atenção
Earned Jun 6, 2023 EDT
Contact Center AI: Conversational Design Fundamentals
Earned May 27, 2023 EDT
Virtual Agent Development in Dialogflow CX for Software Devs
Earned Jul 19, 2022 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned Jul 17, 2022 EDT
Virtual Agent Development in Dialogflow ES for Software Devs
Earned Jul 15, 2022 EDT
Virtual Agent Development in Dialogflow ES for Citizen Devs
Earned Jul 14, 2022 EDT
Customer Experiences with Contact Center AI
Earned Aug 19, 2021 EDT