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Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro (Coursera) https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp-br Com a incorporação do machine learning aos pipelines de dados, as empresas podem extrair mais insights. Neste curso, mostramos várias maneiras de incluir o machine learning nos pipelines de dados no Google Cloud Platform, dependendo do nível de personalização necessário. Explicamos como usar o AutoML quando você precisar de pouca ou nenhuma personalização. Para recursos de machine learning mais personalizados, mostramos como usar o AI Platform Notebooks e o BigQuery Machine Learning. Também expl |
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Smart Analytics, Machine Learning, and AI on GCP en Español (Coursera) https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp-es La incorporación del aprendizaje automático en las canalizaciones de datos aumenta la capacidad de las empresas para extraer estadísticas de sus datos. En este curso, veremos numerosas formas de incluir el aprendizaje automático en las canalizaciones de datos de Google Cloud según el nivel de personalización que se necesite. Para una personalización escasa o nula, en el curso se aborda AutoML. Para obtener más capacidades de aprendizaje automático a medida, el curso presenta Notebooks y BigQuery |
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Smart Analytics, Machine Learning, and AI on GCP 日本語版 (Coursera) https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp-jp 機械学習をデータ パイプラインに組み込むことで、企業はデータから効率的に分析情報を抽出できるようになります。このコースでは、必要なカスタマイズの程度に応じて、Google Cloud Platform で機械学習をデータ パイプラインに組み込む方法をいくつか説明します。たとえば、ほとんどあるいはまったくカスタマイズが必要ない場合向けの AutoML、機械学習機能の大幅なカスタマイズが必要な場合向けの AI Platform Notebooks と BigQuery Machine Learning を紹介します。また、このコースでは、Kubeflow を使用して機械学習ソリューションを本稼働させる方法についても説明します。受講者は Qwiklabs を使用して、Google Cloud Platform での機械学習モデルの構築を実際に体験することができます。 |
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Smart Analytics, Machine Learning, and AI on Google Cloud (Coursera) https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI. |
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Strategies for Cloud Security Risk Management (Coursera) https://www.coursera.org/learn/strategies-for-cloud-security-risk-management Ready for more?! This is the second course of the Google Cloud Cybersecurity Certificate. Crack the code of security and compliance! ️ This course is your decoder ring to unlock the world of security domains, frameworks, and data privacy. Discover the secret language of risk, controls, and the trio of compliance: people, process, and tech! |
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The Power of Storytelling: How to Visualize Data in the Cloud (Coursera) https://www.coursera.org/learn/the-power-of-storytelling-how-to-visualize-data-in-the-cloud You’re over halfway through the program! This is the fourth course of the Google Cloud Data Analytics Certificate. Level up your data visualization skills by unlocking the secrets of transforming flat data into captivating stories that leap from the screen and onto the agenda of your key stakeholders. Happy learning! |
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Transformer Models and BERT Model (Coursera) https://www.coursera.org/learn/transformer-models-and-bert-model This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference. This course is estimated to take approximately 45 minutes to co |
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Trust and Security with Google Cloud (Coursera) https://www.coursera.org/learn/trust-and-security-with-google-cloud As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business. |
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Understanding Google Cloud Security and Operations 日本語版 (Coursera) https://www.coursera.org/learn/understanding-google-cloud-security-and-operations-ja あらゆる規模の組織が、事業運営の変革にクラウドの能力と柔軟性を活用しているなかで、クラウド リソースを効果的に管理、スケーリングすることが複雑なタスクになる可能性もあります。 ここでは、Google Cloud Operations を使用したスケーリングを通して、クラウドにおける最新の運用、信頼性、レジリエンスに関する基本的概念と、Google Cloud がこういった取り組みをどのように支援できるのかについて理解を深めます。 このコースは Cloud Digital Leader 学習プログラムの一部で、個人が自分の役割において成長し、ビジネスの未来を構築することを目的としています。 |
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Understanding Your Google Cloud Costs (Coursera) https://www.coursera.org/learn/gcp-cost-management Understanding Your Google Cloud Costs is most suitable for those working in a technology or finance role who are responsible for managing Google Cloud costs. You’ll learn how to set up a billing account, organize resources, and manage billing access permissions. In the hands-on labs, you'll learn how to view your invoice, track your Google Cloud costs with Billing reports, analyze your billing data with BigQuery or Google Sheets, and create custom billing dashboards with Looker Studio. Stu |
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Upgrading and Monitoring the Apigee Hybrid API Platform (Coursera) https://www.coursera.org/learn/upgrading-monitoring-and-troubleshooting-apigee-hybrid-api-platform This course discusses the upgrade process for Apigee hybrid, and teaches you how to monitor and troubleshoot the hybrid runtime plane components. |
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Üretken Yapay Zeka’ya Giriş (CourseraSpecs) https://www.coursera.org/specializations/introduction-to-generative-ai-tr Offered by Google Cloud. |
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Vector Search and Embeddings (Coursera) https://www.coursera.org/learn/vector-search-and-embeddings This course introduces Vertex AI Vector Search and describes how it can be used to build a search application with large language model (LLM) APIs for embeddings. The course consists of conceptual lessons on vector search and text embeddings, practical demos on how to build vector search on Vertex AI, and a hands-on lab. |
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Vertex AI Search for Retail (CourseraSpecs) https://www.coursera.org/specializations/vertex-ai-search-for-retail Offered by Google Cloud. Optimizing your retail search capabilities. Learn to implement, configure and use Vertex AI Search for Retail along ... |
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Virtual Agent Development in Dialogflow CX for Citizen Devs (Coursera) Welcome to "CCAI Virtual Agent Development in Dialogflow CX for Citizen Developers", 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. This is an intermediate course, intended for learners with t |
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Virtual Agent Development in Dialogflow CX for Software Devs (Coursera) 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 vir |
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Virtual Agent Development in Dialogflow ES for Citizen Devs (Coursera) 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 (tele |
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Virtual Agent Development in Dialogflow ES for Software Devs (Coursera) https://www.coursera.org/learn/contact-center-ai-building-a-dynamic-virtual-agent 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 vol |