Improve customer and agent satisfaction with Agent Assist
Earned Aug 15, 2025 EDT
Analyze patterns in conversational data with Conversational Insights
Earned Aug 15, 2025 EDT
Customer Engagement Suite with Google AI Architecture
Earned Aug 15, 2025 EDT
Advanced Performance Measurement
Earned Aug 15, 2025 EDT
Basic Performance Measurement
Earned Aug 15, 2025 EDT
Introduction to Agent Assist and its GenAI Capabilities
Earned Aug 15, 2025 EDT
Conversational Insights
Earned Aug 15, 2025 EDT
Agent Summarization (Custom)
Earned Aug 15, 2025 EDT
Integrate Agent Assist with Telephony and Chatbot Systems
Earned Aug 15, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned Aug 15, 2025 EDT
Extend Google Agentspace assistant capabilities
Earned Aug 15, 2025 EDT
Introduction to AI Applications
Earned Aug 15, 2025 EDT
Conversational AI Voice and Chat Integrations
Earned Aug 15, 2025 EDT
Virtual FAQ with data store agents
Earned Aug 15, 2025 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned Aug 14, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned Aug 14, 2025 EDT
Configure AI Applications to optimize search results
Earned Aug 14, 2025 EDT
Incorporate Generative Features into Conversational Agent flows
Earned Aug 14, 2025 EDT
Stateful Flows
Earned Aug 14, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned Aug 13, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned Aug 13, 2025 EDT
Build search and recommendations applications with AI Applications
Earned Aug 13, 2025 EDT
Improve Vertex AI Search and Google Agentspace Search Results
Earned Aug 13, 2025 EDT
Recommendations with AI Applications
Earned Aug 13, 2025 EDT
Introduction to NotebookLM
Earned Aug 12, 2025 EDT
Create Data Stores for Gen AI Applications
Earned Aug 12, 2025 EDT
Evaluate Gen AI model and agent performance
Earned Aug 12, 2025 EDT
Deploy a RAG application with vector search in Firestore
Earned Aug 12, 2025 EDT
Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service
Earned Aug 12, 2025 EDT
Model evaluation on Vertex AI
Earned Aug 12, 2025 EDT
Operações de machine learning (MLOps) com a Vertex AI: avaliação de modelo
Earned Aug 10, 2025 EDT
Implement Hybrid Search
Earned Aug 10, 2025 EDT
Implement RAG with Vertex AI
Earned Aug 10, 2025 EDT
Criar embeddings, pesquisa vetorial e RAG com o BigQuery
Earned Aug 10, 2025 EDT
Edit images with Imagen
Earned Aug 10, 2025 EDT
Vertex AI Search and Google Agentspace UI Configurations
Earned Aug 9, 2025 EDT
Vertex AI Search and Google Agentspace Analytics
Earned Aug 9, 2025 EDT
Generate and Edit Media with Imagen, Gemini, and Veo
Earned Aug 9, 2025 EDT
Build Gen AI solutions using Model Garden models and APIs
Earned Aug 9, 2025 EDT
Improve Performance by Fine-Tuning Foundation Models
Earned Aug 9, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned Aug 6, 2025 EDT
Empower Gen AI apps with tool use
Earned Aug 6, 2025 EDT
Engineer Effective Prompts for Generative Models
Earned Aug 5, 2025 EDT
Explore Google's Gen AI Models
Earned Aug 5, 2025 EDT
Introduction to CES and Conversational Agents
Earned Aug 4, 2025 EDT
Generative Playbooks
Earned Jul 24, 2025 EDT
Certification Learning Path: Professional Cloud DevOps Engineer
Earned Jan 15, 2024 EST
Introdução ao Terraform para Google Cloud
Earned Jan 21, 2023 EST
Geração de registros e monitoramento no Google Cloud
Earned Jan 21, 2023 EST
Infraestrutura do Google Cloud confiável: criar e processar
Earned Jan 20, 2023 EST
Como desenvolver uma cultura de SRE do Google
Earned Jan 19, 2023 EST
Noções básicas do Google Cloud: infraestrutura principal
Earned Jan 17, 2023 EST
Escalonamento com as Operações do Google Cloud
Earned Sep 18, 2022 EDT
Modernização de infraestrutura e aplicativos com o Google Cloud
Earned Sep 11, 2022 EDT
Como é feita a transformação de dados com o Google Cloud
Earned Sep 4, 2022 EDT
Transformação digital com o Google Cloud
Earned Aug 14, 2022 EDT
Migration Summit 2022
Earned Aug 8, 2022 EDT
Como modernizar data lakes e data warehouses com o Google Cloud
Earned Jun 26, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals - Português Brasileiro
Earned Jun 12, 2022 EDT
Complete the Improve customer and agent satisfaction with Agent Assist skill badge to demonstrate your proficiency in configuring basic conversational agents that can escalate actions to human agents, and configuring Agent Assist to help human agents with customer queries. You prove your knowledge in configuring Generators for summarization, classification and recommendation of tickets as well leverage tools such as Generative Knowledge Assist, to provide further context to human agents.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Complete the Analyze patterns in conversational data with Conversational Insights skill badge to demonstrate your proficiency in analysing customer conversations with Conversational Insights. After completing this challenge, you will be ready to deploy Conversation Insights to improve customer service performance, and create better customer experiences.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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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. Please note Dialogflow CX was recently renamed to Conversational Agents and CCAI Insights was renamed to Conversational Insights.
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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 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 how Agent Assist can enhance the productivity of human agents while interacting with customers through the chat channel.
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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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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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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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Complete the Extend agent functionality with Webhooks, Tools, and Integrations skill badge to demonstrate your ability to let conversational agents take actions. You will create a flow that calls a webhook and a playbook with a tool and combine them into a hybrid agent. You'll also prepare custom payload for rich content experiences in the Conversational Messenger.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Complete the Extend Google Agentspace assistant capabilities skill badge to demonstrate your ability to extend Google Agentspace assistant's capabilities with actions, grounding with Google Search, and a conversational agent.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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This course introduces AI Applications. You will learn about the types of apps that you can create using AI Applications, the high-level steps that its data stores automate for you, and what advanced features can be enabled for Search apps.
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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'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.
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Connect Conversational Agents to external systems and APIs to expand what agents can do, designing an end-to-end system that is resilient, fault-tolerant and secure.
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Complete the Build basic Conversational Agents with Playbooks and Flows skill badge to demonstrate your proficiency in building virtual agents using traditional NLU and generative-based 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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Complete the Configure AI Applications to optimize search results skill badge to demonstrate your proficiency in configuring search results from AI Applications. You will be tasked with implementing search serving controls to boost and bury results, filter entries from search results and display metadata in your search interface.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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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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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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Complete the Create media search and media recommendations applications with AI Applications skill badge to demonstrate your ability to create, configure, and access media search and recommendations applications using AI Applications.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
Saiba mais
Complete the Create and maintain Vertex AI Search data stores skill badge to demonstrate your proficiency in building various types of data stores used in Vertex AI Search applications.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
Saiba mais
Complete the Build search and recommendations AI Applications skill badge to demonstrate your proficiency in deploying search and recommendation applications through AI Applications. Additionally, emphasis is placed on constructing a tailored Q&A system utilizing data stores.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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If you've worked with data, you know that some data is more reliable than other data.
In this course, you'll learn a variety of techniques to present the most reliable or useful results to your users. Create serving controls to boost or bury search results. Rank search results to ensure that each query is answered by the most relevant data. If needed, tune your search engine. Learn to measure search results to ensure your search applications deliver the best possible results to each user.
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Do you want to keep your users engaged by suggesting content they'll love?
This course equips you with the skills to build a cutting-edge recommendations app using your own data with no prior machine learning knowledge. You learn to leverage AI Applications to build recommendation applications so that audiences can discover more personalized content, like what to watch or read next, with Google-quality results customized using optimization objectives.
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NotebookLM is an AI-powered collaborator that helps you do your best thinking. After uploading your documents, NotebookLM becomes an instant expert in those sources so you can read, take notes, and collaborate with it to refine and organize your ideas.
NotebookLM Pro gives you everything already included with NotebookLM, as well as higher utilization limits, access to premium features, and additional sharing options and analytics.
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Data stores represent a simple way to make content available to many types of generative AI applications, including search applications, recommendations engines, Google Agentspace apps, Agent Development Kit agents, and apps built with Google Gen AI or LangChain SDKs. Connect data from many sources include Cloud Storage, Google Drive, chat apps, mail apps, ticketing systems, third-party file storage providers, Salesforce, and many more.
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Complete the Evaluate Gen AI model and agent performance skill badge to demonstrate your ability to use the Gen AI evaluation service. You will evaluate models to select the best model for a given task, compare models against each other and evaluate the performance of agents.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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This lab tests your ability to develop a real-world Generative AI Q&A solution using a RAG framework. You will use Firestore as a vector database and deploy a Flask app as a user interface to query a food safety knowledge base.
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Evaluation is important at every step of your Gen AI development process. In this course you will learn how to evaluate gen AI agents built using agent frameworks.
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This course delves into the complexities of assessing the quality of large language model outputs. It examines the challenges enterprises face due to the subjective and sometimes incorrect nature of LLM responses, including hallucinations and inconsistent results. The course introduces various evaluation metrics for different tasks like classification, text generation, and question answering, such as Accuracy, Precision, Recall, F1 score, ROUGE, BLEU, and Exact Match. It also explores evaluation methods offered by Vertex AI LLM Evaluation Services, including computation-based, autorater, and human evaluation, providing insights into their application and benefits. Finally, the module covers how to unit test LLM applications within Vertex AI.
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Neste curso, profissionais de machine learning vão conhecer as principais ferramentas, técnicas e práticas recomendadas para avaliar modelos de IA generativa e preditiva. Essa avaliação é muito importante para garantir que os sistemas de ML produzam resultados confiáveis, precisos e de alto desempenho na produção.
Os participantes vão entender em detalhes as várias métricas e metodologias de avaliação, além da aplicação correta delas em diferentes tarefas e tipos de modelo. O foco do curso está nos desafios específicos dos modelos de IA generativa e nas estratégias para lidar com eles de forma eficaz. Usando a plataforma Vertex AI do Google Cloud, os participantes vão aprender a implementar processos robustos de avaliação para selecionar e otimizar os modelos, com monitoramento contínuo.
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Learn how to create Hybrid Search applications using Vertex AI Vertex Search to combine semantic searching with keyword search to return results based on both semantic meaning and keyword matching.
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Learn how to build your own Retrieval-Augmented Generation (RAG) solutions for greater control and flexibility than out-of-the-box implementations. Create a custom RAG solution using Vertex AI APIs, vector stores, and the LangChain framework.
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Este curso estuda uma solução de geração aumentada de recuperação (RAG) no BigQuery para mitigar as alucinações da IA. Ele introduz um fluxo de trabalho de RAG que engloba a criação de embeddings, a pesquisa por um espaço vetorial e a geração de respostas aprimoradas. O curso explica os motivos conceituais dessas etapas e a implementação prática delas com o BigQuery. Até o fim do curso, será possível criar um pipeline de RAG usando o BigQuery e modelos de IA generativa como o Gemini, além de modelos de embeddings, para lidar com os próprios casos de uso de alucinação de IA.
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Complete the Edit images with Imagen skill badge to demonstrate your skills with Imagen's mask modes and editing modes to edit images according to certain prompts.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Initial deployment of Vertex AI Search and Google Agentspace apps takes only a few clicks, but getting the configurations right can elevate a deployment from a basic off-the-shelf app to an excellent custom search or recommendations experience.
In this course, you'll learn more about the many ways you can customize and improve search, recommendations, and Google Agentspace apps.
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AI Applications provides built-in analytics for your Vertex AI Search and Google Agentspace apps. Learn what metrics are tracked and how to view them in this course.
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Generate engaging media with Google's foundation models for media. Create new images with Imagen, or edit your existing photos by adding details or outpainting to create a wider view. Replace backgrounds to put your products in new scenes. And learn the basics of generating videos with Veo!
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Complete the Develop solutions using Model Garden APIs skill badge to demonstrate your ability to use Vertex AI Model Garden features when building gen AI solutions. You will use partner APIs such as Anthropic Claude ands Meta Llama, deploy and programatically access foundation models like Gemma and Stable Diffusion XL and access Vertex AI Endpoints.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Model tuning is an effective way to customize large models to your tasks. It's a key step to improve the model's quality and efficiency. Model tuning provides benefits such as higher quality results for your specific tasks and increased model robustness. You learn some of the tuning options available in Vertex AI and when to use them.
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Complete the Extend Gemini with controlled generation and Tool use skill badge to demonstrate your proficiency in connecting models to external tools and APIs. This allows models to augment their knowledge, extend their capabilities and interact with external systems to take actions such as sending an email.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!"
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An LLM-based application can process language in a way that resembles thought. But if you want to extend its capabilities to take actions by running other functions you have coded, you will need to use function calling. This can also be referred to as tool use. Additionally, you can give a model the ability to search Google or search a data store of documents to ground its responses. In other words, to base its answers on that information. In this course, you’ll explore these concepts.
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Learn a variety of strategies and techniques to engineer effective prompts for generative models
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Learn how to leverage Gemini multimodal capabilities to process and generate text, images, and audio and to integrate Gemini through APIs to perform tasks such as content creation and summarization.
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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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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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Good news! There’s a new updated version of this learning path available for you!Open the new Professional Cloud DevOps Engineer Certification Learning Path to begin, once you’ve selected the new path all your current progress will be reflected in the new version.
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Confira neste curso uma introdução ao uso do Terraform para Google Cloud. Nele, você aprende como o Terraform pode ser usado para implementar infraestrutura como código e aplicar alguns dos principais recursos e funcionalidades para criar e gerenciar a infraestrutura do Google Cloud.
Também incluímos experiências práticas de criação e gerenciamento de recursos do Google Cloud usando o Terraform.
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Este curso ensina aos participantes técnicas de monitoramento e melhoria de infraestrutura e desempenho de aplicativos no Google Cloud.
Com uma combinação de apresentações, demonstrações, laboratórios práticos
e estudos de caso do mundo real, os participantes ganham experiência com monitoramento de pilha completa, gerenciamento e análise de registro em tempo real, depuração de código em produção, rastreamento de gargalos de desempenho de aplicativos, caracterização de perfil de CPU e uso de memória.
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Este curso prepara estudantes para criar soluções altamente confiáveis e eficientes no Google Cloud usando padrões de design comprovados. Ele é uma continuação do curso "Como criar arquiteturas com o Google Compute Engine" ou "Como criar arquiteturas com o Google Kubernetes Engine" e exige experiência prática com as tecnologias abordadas nesses dois cursos. Com uma combinação de apresentações, atividades de design e laboratórios práticos, os participantes aprendem a definir e equilibrar requisitos técnicos e comerciais para projetar implantações do Google Cloud que sejam seguras, econômicas e altamente confiáveis e disponíveis.
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Em muitas organizações de TI, os objetivos não estão alinhados entre desenvolvedores, que buscam por agilidade, e operadores, que focam na estabilidade. A engenharia de confiabilidade do site (SRE) é o método usado pelo Google para alinhar incentivos entre o desenvolvimento e as operações, além de prestar suporte essencial à produção. A adoção das práticas culturais e técnicas de SRE pode ajudar a melhorar a colaboração entre os departamentos comercial e de TI. Neste curso, apresentamos as principais práticas de SRE do Google e o papel importante que os líderes de TI e de negócios desempenham em uma adoção organizacional de SRE bem-sucedida.
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Noções básicas do Google Cloud: Core Infrastructure" 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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Organizações de vários portes estão adotando a tecnologia e a flexibilidade da nuvem para transformar a forma como operam. No entanto, gerenciar e escalonar recursos na nuvem de maneira eficaz é uma tarefa complexa.
O curso Escalonamento com as Operações do Google Cloud traz noções básicas de confiabilidade, resiliência e operações modernas na nuvem, explicando como o Google Cloud pode ajudar nesses esforços.
Como parte do programa de aprendizado do Líder digital do Cloud, o objetivo deste curso é ajudar você a crescer profissionalmente e desenvolver o futuro do seu próprio negócio.
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Muitas empresas tradicionais usam sistemas e aplicativos legados que não conseguem atender às expectativas dos clientes modernos. Com frequência, os líderes empresariais precisam escolher entre manter sistemas de TI antigos ou investir em novos produtos e serviços. O curso "Modernização de infraestrutura e aplicativos com o Google Cloud" aborda esses desafios e oferece soluções relacionadas à tecnologia de nuvem para cada um.
Como parte do programa de aprendizado do Líder digital do Cloud, o objetivo deste curso é ajudar você a crescer profissionalmente e desenvolver o futuro do seu próprio negócio.
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As tecnologias de nuvem podem agregar muito valor a uma organização e, ao combinar esse poder com dados, o potencial de crescer e criar novas experiências para os clientes é ainda maior. O curso "Como é feita a transformação de dados com o Google Cloud" mostra como os dados agregam valor às organizações e como o Google Cloud torna esses dados eficientes e acessíveis. Este curso, que faz parte do programa de aprendizado do Líder digital do Cloud, se destina às pessoas que querem crescer na profissão e construir o futuro da empresa.
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As pessoas estão muito animadas com a tecnologia de nuvem e a transformação digital, mas também ainda têm muitas dúvidas.
Exemplo: O que é a tecnologia de nuvem? O que significa transformação digital? Como a tecnologia de nuvem pode ajudar sua organização? Por onde começar?
Se você já se questionou sobre isso, veio ao lugar certo. Este curso fornece uma visão geral dos tipos de oportunidades e desafios que as empresas encaram em suas jornadas de transformação digital. Se quiser saber mais sobre tecnologia de nuvem para se destacar no trabalho e ajudar a construir o futuro da sua empresa, este curso introdutório sobre transformação digital é para você. Este curso faz parte do programa de aprendizado do Líder digital do Cloud.
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The GSI Migration Summit is a curated collection of hands-on labs and quests that provide coverage of application migration. Security and analytics labs and quests have been added to provide coverage of key platform concepts and services.
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Os dois principais componentes de um pipeline de dados são data lakes e warehouses. Neste curso, destacamos os casos de uso para cada tipo de armazenamento e as soluções de data lake e warehouse disponíveis no Google Cloud de forma detalhada e técnica. Além disso, também descrevemos o papel de um engenheiro de dados, os benefícios de um pipeline de dados funcional para operações comerciais e analisamos por que a engenharia de dados deve ser feita em um ambiente de nuvem.
Este é o primeiro curso da série "Engenharia de dados no Google Cloud". Após a conclusão, recomendamos que você comece o curso "Como criar pipelines de dados em lote no Google Cloud".
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Este curso apresenta os produtos e serviços de Big Data e machine learning do Google Cloud que auxiliam no ciclo de vida de dados para IA. Ele explica os processos, os desafios e os benefícios de criar um pipeline de Big Data e modelos de machine learning com a Vertex AI no Google Cloud.
Improve customer and agent satisfaction with Agent Assist
Earned Aug 15, 2025 EDT
Analyze patterns in conversational data with Conversational Insights
Earned Aug 15, 2025 EDT
Customer Engagement Suite with Google AI Architecture
Earned Aug 15, 2025 EDT
Advanced Performance Measurement
Earned Aug 15, 2025 EDT
Basic Performance Measurement
Earned Aug 15, 2025 EDT
Introduction to Agent Assist and its GenAI Capabilities
Earned Aug 15, 2025 EDT
Conversational Insights
Earned Aug 15, 2025 EDT
Agent Summarization (Custom)
Earned Aug 15, 2025 EDT
Integrate Agent Assist with Telephony and Chatbot Systems
Earned Aug 15, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned Aug 15, 2025 EDT
Extend Google Agentspace assistant capabilities
Earned Aug 15, 2025 EDT
Introduction to AI Applications
Earned Aug 15, 2025 EDT
Conversational AI Voice and Chat Integrations
Earned Aug 15, 2025 EDT
Virtual FAQ with data store agents
Earned Aug 15, 2025 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned Aug 14, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned Aug 14, 2025 EDT
Configure AI Applications to optimize search results
Earned Aug 14, 2025 EDT
Incorporate Generative Features into Conversational Agent flows
Earned Aug 14, 2025 EDT
Stateful Flows
Earned Aug 14, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned Aug 13, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned Aug 13, 2025 EDT
Build search and recommendations applications with AI Applications
Earned Aug 13, 2025 EDT
Improve Vertex AI Search and Google Agentspace Search Results
Earned Aug 13, 2025 EDT
Recommendations with AI Applications
Earned Aug 13, 2025 EDT
Introduction to NotebookLM
Earned Aug 12, 2025 EDT
Create Data Stores for Gen AI Applications
Earned Aug 12, 2025 EDT
Evaluate Gen AI model and agent performance
Earned Aug 12, 2025 EDT
Deploy a RAG application with vector search in Firestore
Earned Aug 12, 2025 EDT
Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service
Earned Aug 12, 2025 EDT
Model evaluation on Vertex AI
Earned Aug 12, 2025 EDT
Operações de machine learning (MLOps) com a Vertex AI: avaliação de modelo
Earned Aug 10, 2025 EDT
Implement Hybrid Search
Earned Aug 10, 2025 EDT
Implement RAG with Vertex AI
Earned Aug 10, 2025 EDT
Criar embeddings, pesquisa vetorial e RAG com o BigQuery
Earned Aug 10, 2025 EDT
Edit images with Imagen
Earned Aug 10, 2025 EDT
Vertex AI Search and Google Agentspace UI Configurations
Earned Aug 9, 2025 EDT
Vertex AI Search and Google Agentspace Analytics
Earned Aug 9, 2025 EDT
Generate and Edit Media with Imagen, Gemini, and Veo
Earned Aug 9, 2025 EDT
Build Gen AI solutions using Model Garden models and APIs
Earned Aug 9, 2025 EDT
Improve Performance by Fine-Tuning Foundation Models
Earned Aug 9, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned Aug 6, 2025 EDT
Empower Gen AI apps with tool use
Earned Aug 6, 2025 EDT
Engineer Effective Prompts for Generative Models
Earned Aug 5, 2025 EDT
Explore Google's Gen AI Models
Earned Aug 5, 2025 EDT
Introduction to CES and Conversational Agents
Earned Aug 4, 2025 EDT
Generative Playbooks
Earned Jul 24, 2025 EDT
Certification Learning Path: Professional Cloud DevOps Engineer
Earned Jan 15, 2024 EST
Introdução ao Terraform para Google Cloud
Earned Jan 21, 2023 EST
Geração de registros e monitoramento no Google Cloud
Earned Jan 21, 2023 EST
Infraestrutura do Google Cloud confiável: criar e processar
Earned Jan 20, 2023 EST
Como desenvolver uma cultura de SRE do Google
Earned Jan 19, 2023 EST
Noções básicas do Google Cloud: infraestrutura principal
Earned Jan 17, 2023 EST
Escalonamento com as Operações do Google Cloud
Earned Sep 18, 2022 EDT
Modernização de infraestrutura e aplicativos com o Google Cloud
Earned Sep 11, 2022 EDT
Como é feita a transformação de dados com o Google Cloud
Earned Sep 4, 2022 EDT
Transformação digital com o Google Cloud
Earned Aug 14, 2022 EDT
Migration Summit 2022
Earned Aug 8, 2022 EDT
Como modernizar data lakes e data warehouses com o Google Cloud
Earned Jun 26, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals - Português Brasileiro
Earned Jun 12, 2022 EDT