Aplique suas habilidades no console do Google Cloud
Iuliia Al-Saadi
Participante desde 2023
Liga Ouro
63608 pontos
Guia de estudo para Engenheiro profissional de aprendizado de máquina
Earned Jun 21, 2025 EDT
Operações de Machine Learning (MLOps) para IA Generativa
Earned Jun 1, 2025 EDT
Deploy Google Agentspace
Earned Feb 28, 2025 EST
Acelere o intercâmbio de conhecimento com o Gemini Enterprise
Earned Feb 28, 2025 EST
Build generative virtual agents with API integrations
Earned Jan 19, 2025 EST
Build deterministic Virtual Agent enhanced with data stores
Earned Nov 8, 2024 EST
Generative Playbooks
Earned Nov 8, 2024 EST
Conversational Agents Quality Assurance and Deployment Lifecycle
Earned Nov 8, 2024 EST
Extend CX Agents with Vertex AI Search data stores
Earned Nov 3, 2024 EST
Stateful Flows
Earned Oct 27, 2024 EDT
Webhook fundamentals
Earned Oct 26, 2024 EDT
Conversation Design Fundamentals
Earned Oct 26, 2024 EDT
DFCX Virtual Agent Delivery Framework
Earned Oct 26, 2024 EDT
Customer Experience with Google AI Architecture
Earned Oct 25, 2024 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned Oct 25, 2024 EDT
Preparação para a jornada de certificação do Associate Cloud Engineer
Earned Aug 15, 2024 EDT
Performance Measurement
Earned Jun 28, 2024 EDT
Noções básicas do Google Cloud: infraestrutura principal
Earned Feb 16, 2024 EST
Contact Center as a Service Implementation
Earned Feb 16, 2024 EST
Handle Consumer Interactions with CCaaS
Earned Jan 24, 2024 EST
Search with AI Applications
Earned Jan 17, 2024 EST
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned Jan 17, 2024 EST
Virtual Agent Development in Dialogflow ES for Software Devs
Earned Jan 17, 2024 EST
Customer Experiences with Contact Center AI
Earned Jan 16, 2024 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned Jan 15, 2024 EST
Text Prompt Engineering Techniques
Earned Jan 9, 2024 EST
Introdução ao Vertex AI Studio
Earned Jan 6, 2024 EST
Como criar modelos de legenda para imagens
Earned Jan 6, 2024 EST
Modelos de transformador e modelo de BERT
Earned Jan 6, 2024 EST
Arquitetura de codificador-decodificador
Earned Jan 5, 2024 EST
Mecanismo de atenção
Earned Jan 5, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Jan 3, 2024 EST
Conversational AI on Vertex AI and Dialogflow CX
Earned Jan 3, 2024 EST
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Dec 29, 2023 EST
Generative AI Explorer : Vertex AI
Earned Dec 29, 2023 EST
Introdução à geração de imagens
Earned Dec 28, 2023 EST
Generative AI for Business Leaders
Earned Dec 28, 2023 EST
Implementing Generative AI with Vertex AI
Earned Dec 27, 2023 EST
Generative AI Fundamentals
Earned Dec 27, 2023 EST
IA responsável: como aplicar os princípios de IA com o Google Cloud
Earned Dec 10, 2023 EST
Generative AI Fundamentals - Português Brasileiro
Earned Dec 10, 2023 EST
Introdução à IA responsável
Earned Dec 10, 2023 EST
Introdução aos modelos de linguagem grandes
Earned Dec 9, 2023 EST
Introdução à IA generativa
Earned Dec 9, 2023 EST
Virtual Agent Development in Dialogflow ES for Citizen Devs
Earned Jun 16, 2023 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned Jun 15, 2023 EDT
CCAI Operations and Implementation
Earned Jun 14, 2023 EDT
Contact Center AI: Conversational Design Fundamentals
Earned Jun 14, 2023 EDT
Virtual Agent Development in Dialogflow CX for Software Devs
Earned Jun 14, 2023 EDT
DEPRECATED Create Conversational AI Agents with Dialogflow CX
Earned Jun 14, 2023 EDT
Este curso ajuda a criar um plano de estudo para o exame de certificação Professional Machine Learning Engineer (PMLE). É possível conferir a amplitude e o escopo dos domínios abordados no exame. Os estudantes também podem acompanhar os preparativos para o exame e criar planos de estudo individuais.
Saiba mais
O objetivo desse curso é equipar você com o conhecimento e as ferramentas necessários para resolver os desafios enfrentados por equipes de MLOps durante o desenvolvimento e gerenciamento de modelos de IA generativa. Também queremos mostrar como a Vertex AI ajuda equipes de IA a simplificar processos de MLOps e a alcançar o sucesso em projetos de IA generativa.
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In this skill badge, you will demonstrate your ability to deploy Google Agentspace and set up data stores and actions. To learn these skills, we encourage you to take the course Accelerate Knowledge Exchange with Agentspace.
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Agora você tem o melhor do Google em pesquisa e IA. O Gemini Enterprise é uma ferramenta empresarial que pode ser usada para encontrar informações específicas armazenadas em diferentes locais, como documentos, e-mails, chats, sistemas de emissão de tíquetes, entre outras fontes de dados. Basta pedir na barra de pesquisa. O assistente do Gemini Enterprise também ajuda na criação de ideias, faz pesquisas, estrutura documentos e realiza ações. Ele pode, por exemplo, convidar seus colegas para uma reunião em um evento da agenda, agilizando os trabalhos intelectuais e todos os tipos de colaboração.
Vale destacar que o Gemini Enterprise se refere ao nosso produto anteriormente chamado Google Agentspace. Pode haver referências ao nome anterior do produto neste curso.
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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
Saiba mais
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
Saiba mais
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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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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In this course, you'll learn to develop AI agents that answer questions using websites, documents, or structured data. You will explore 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.
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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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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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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.
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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.
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Este curso ajuda você a se preparar para o exame Associate Cloud Engineer. Você vai aprender sobre os domínios do Google Cloud abordados no exame e como criar um plano de estudos para melhorar seu conhecimento sobre o assunto.
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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. You will also learn about advanced methods and tools to monitor the performance of your Conversational agent in Conversational Agents.
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"Noções básicas do Google Cloud: infraestrutura principal" é uma apresentação da terminologia e de conceitos importantes para trabalhar com o Google Cloud. Usando vídeos e laboratórios práticos, o curso apresenta e compara vários serviços de armazenamento e computação do Google Cloud, além de ferramentas importantes para o gerenciamento de políticas e recursos.
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An AI-driven Contact Center as a Service (CCaaS) solution that is built natively on Google Cloud. The Implementation course provides Partners with essential training about the delivery of key features and functionality. The course explores how to leverage your key understanding of the product into successful customer implementation engagements with tips, best practices, guides, and more.
Note: This product was previously called Contact Center AI (CCAI) Platform you may see references to that name still in the course, however the course is technically correct.
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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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(Previously named "Developing apps with Vertex AI Agent Builder: Search". Please note there maybe instances in this course where previous product names and titles are used)
Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities.
This course teaches you to use AI Applications to integrate enterprise-grade generative AI search.
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This course explores the different products and capabilities of Gemini Enterprise for Customer Experience 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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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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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.
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In this course, you'll use text embeddings for tasks like classification, outlier detection, text clustering and semantic search. You'll combine semantic search with the text generation capabilities of an LLM to build Retrieval Augmented Generation (RAG) solutions, such as for question-answering systems, using Google Cloud's Vertex AI and Google Cloud databases.
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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
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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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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 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 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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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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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 use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.
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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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This content is deprecated. Please see the latest version of the course, here.
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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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A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
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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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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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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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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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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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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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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.
Saiba mais
Welcome to "CCAI Operations and Implementation", the fourth course in the "Customer Experiences with Contact Center AI" series. In this course, 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. In this course, you'll be introduced to Agent Assist and the technology it uses so you can delight your customers with the efficiencies and accuracy of services provided when customers require human agents, connectivity protocols, APIs, and platforms which you can use to create an integration between your virtual agent and the services already established for your business, Dialogflow's Environment Management tool for deployment of different versions of your virtual agent for various purposes, compliance measures and regulations you should be aware of when bringing your virtual agent to production, and you'll be given tips from virtua…
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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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Earn a skill badge by completing the Create Conversational AI Agents with Dialogflow CX quest, where you will learn how to create a conversational virtual agent, including how to: define intents and entities, use versions and environments, create conversational branching, and use IVR features. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
Guia de estudo para Engenheiro profissional de aprendizado de máquina
Earned Jun 21, 2025 EDT
Operações de Machine Learning (MLOps) para IA Generativa
Earned Jun 1, 2025 EDT
Deploy Google Agentspace
Earned Feb 28, 2025 EST
Acelere o intercâmbio de conhecimento com o Gemini Enterprise
Earned Feb 28, 2025 EST
Build generative virtual agents with API integrations
Earned Jan 19, 2025 EST
Build deterministic Virtual Agent enhanced with data stores
Earned Nov 8, 2024 EST
Generative Playbooks
Earned Nov 8, 2024 EST
Conversational Agents Quality Assurance and Deployment Lifecycle
Earned Nov 8, 2024 EST
Extend CX Agents with Vertex AI Search data stores
Earned Nov 3, 2024 EST
Stateful Flows
Earned Oct 27, 2024 EDT
Webhook fundamentals
Earned Oct 26, 2024 EDT
Conversation Design Fundamentals
Earned Oct 26, 2024 EDT
DFCX Virtual Agent Delivery Framework
Earned Oct 26, 2024 EDT
Customer Experience with Google AI Architecture
Earned Oct 25, 2024 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned Oct 25, 2024 EDT
Preparação para a jornada de certificação do Associate Cloud Engineer
Earned Aug 15, 2024 EDT
Performance Measurement
Earned Jun 28, 2024 EDT
Noções básicas do Google Cloud: infraestrutura principal
Earned Feb 16, 2024 EST
Contact Center as a Service Implementation
Earned Feb 16, 2024 EST
Handle Consumer Interactions with CCaaS
Earned Jan 24, 2024 EST
Search with AI Applications
Earned Jan 17, 2024 EST
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned Jan 17, 2024 EST
Virtual Agent Development in Dialogflow ES for Software Devs
Earned Jan 17, 2024 EST
Customer Experiences with Contact Center AI
Earned Jan 16, 2024 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned Jan 15, 2024 EST
Text Prompt Engineering Techniques
Earned Jan 9, 2024 EST
Introdução ao Vertex AI Studio
Earned Jan 6, 2024 EST
Como criar modelos de legenda para imagens
Earned Jan 6, 2024 EST
Modelos de transformador e modelo de BERT
Earned Jan 6, 2024 EST
Arquitetura de codificador-decodificador
Earned Jan 5, 2024 EST
Mecanismo de atenção
Earned Jan 5, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Jan 3, 2024 EST
Conversational AI on Vertex AI and Dialogflow CX
Earned Jan 3, 2024 EST
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Dec 29, 2023 EST
Generative AI Explorer : Vertex AI
Earned Dec 29, 2023 EST
Introdução à geração de imagens
Earned Dec 28, 2023 EST
Generative AI for Business Leaders
Earned Dec 28, 2023 EST
Implementing Generative AI with Vertex AI
Earned Dec 27, 2023 EST
Generative AI Fundamentals
Earned Dec 27, 2023 EST
IA responsável: como aplicar os princípios de IA com o Google Cloud
Earned Dec 10, 2023 EST
Generative AI Fundamentals - Português Brasileiro
Earned Dec 10, 2023 EST
Introdução à IA responsável
Earned Dec 10, 2023 EST
Introdução aos modelos de linguagem grandes
Earned Dec 9, 2023 EST
Introdução à IA generativa
Earned Dec 9, 2023 EST
Virtual Agent Development in Dialogflow ES for Citizen Devs
Earned Jun 16, 2023 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned Jun 15, 2023 EDT
CCAI Operations and Implementation
Earned Jun 14, 2023 EDT
Contact Center AI: Conversational Design Fundamentals
Earned Jun 14, 2023 EDT
Virtual Agent Development in Dialogflow CX for Software Devs
Earned Jun 14, 2023 EDT
DEPRECATED Create Conversational AI Agents with Dialogflow CX
Earned Jun 14, 2023 EDT