Google Cloud |
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Introduction to Generative AI Studio (Coursera) https://www.coursera.org/learn/introduction-to-generative-ai-studio This course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models so you can use their capabilities in your applications. In this course, you learn what Generative AI Studio is, its features and options, and how to use it by walking through demos of the product. In the end, you will have a quiz to test your knowledge. |
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Introduction to Google Workspace Administration (Coursera) https://www.coursera.org/learn/introduction-google-workspace Introduction to Google Workspace Administration is the first course in the Google Workspace Administration series of courses. This series will serve as the starting place for any new Google Workspace admin as they begin their journey of managing and establishing Google Workspace best practices for their organization. These courses together will leave you feeling confident to utilize the basic functions of the admin console to manage users, control access to services, configure security settings |
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Introduction to Google Workspace 日本語版 (Coursera) https://www.coursera.org/learn/introduction-g-suite-jp 「Introduction to Google Workspace Administration」は、Google Workspace Administration シリーズの最初のコースです。 このシリーズは新たに Google Workspace 管理者となった方を対象としたコースです。これから組織で Google Workspace のベスト プラクティスを実施し、手法を確立していく方に適しています。これらのコースを受講することで、管理コンソールの基本機能の使い方を習得でき、ユーザーの管理、サービスへのアクセスの制御、セキュリティの設定などを行えるようになります。 一連の学習用教材、段階的な実践演習、理解度チェックを通じて、Google Workspace 管理者として業務を開始するために必要なスキルをすべて身につけることができます。 このコースでは、Google Workspace アカウントの登録と Google Workspace 用 DNS レコードの設定を行います。ユーザーのプロビジョニングと管理方法について学習し、組織のグループおよびカレンダー リソ |
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Introduction to Image Generation (Coursera) https://www.coursera.org/learn/introduction-to-image-generation This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them |
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Introduction to Image Generation - Español (Coursera) https://www.coursera.org/learn/introduction-to-image-generation---espaol En este curso, se presenta una introducción a los modelos de difusión: una familia de modelos de aprendizaje automático que demostraron ser muy prometedores en el área de la generación de imágenes. Los modelos de difusión se inspiran en la física, específicamente, en la termodinámica. En los últimos años, los modelos de difusión se han vuelto populares tanto en investigaciones como en la industria. Los modelos de difusión respaldan muchos de los modelos de generación de imágenes y herramientas v |
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Introduction to Large Language Models (Coursera) https://www.coursera.org/learn/introduction-to-large-language-models This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps. |
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Introduction to Large Language Models - Español (Coursera) https://www.coursera.org/learn/introduction-to-large-language-models-espaol Este es un curso introductorio de microaprendizaje en el que se explora qué son los modelos de lenguaje grandes (LLM), sus casos de uso y cómo se puede utilizar el ajuste de instrucciones para mejorar el rendimiento de los LLM. También abarca las herramientas de Google para ayudarte a desarrollar tus propias aplicaciones de IA generativa. |
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Introduction to Responsible AI (Coursera) https://www.coursera.org/learn/introduction-to-responsible-ai This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 7 AI principles. |
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Introduction to Responsible AI - Español (Coursera) https://www.coursera.org/learn/introduction-to-responsible-ai-es Este es un curso introductorio de microaprendizaje destinado a explicar qué es la IA responsable, por qué es importante y cómo la implementa Google en sus productos. También se presentan los 7 principios de la IA de Google. |
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Introduction to Security Principles in Cloud Computing (Coursera) https://www.coursera.org/learn/introduction-to-security-principles-in-cloud-computing Imagine yourself as a digital guardian, a cyber sentinel at the frontlines of Google Cloud security, safeguarding valuable assets from the world of cybercrime. This certificate program is your training ground, a thrilling mix of expert-led courses and immersive Google Cloud challenges through interactive labs. You'll analyze threats, build defenses, and complete a final mission that'll impress future employers. Grab your cape, hero-in-training, this is where your journey into the exciting realm |
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Introduction to Trading, Machine Learning & GCP (Coursera) https://www.coursera.org/learn/introduction-trading-machine-learning-gcp In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able |
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Launching into Machine Learning em Português Brasileiro (Coursera) https://www.coursera.org/learn/launching-machine-learning-br O curso começa propondo a seguinte discussão: como melhorar a qualidade dos dados e fazer uma análise exploratória deles? Descrevemos o AutoML na Vertex AI e como criar, treinar e implantar um modelo de ML sem escrever nenhuma linha de código. Você vai conhecer os benefícios do BigQuery ML. Depois vamos falar sobre como otimizar um modelo de machine learning (ML) e como a generalização e a amostragem podem ajudar na avaliação de qualidade dos modelos de ML em treinamentos personalizados. |
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Launching into Machine Learning en Español (Coursera) https://www.coursera.org/learn/launching-machine-learning-es El curso comienza con un debate sobre los datos: cómo mejorar la calidad de los datos y cómo realizar análisis exploratorios de datos. Describimos Vertex AI AutoML y cómo compilar, entrenar y, luego, implementar un modelo de AA sin escribir ni una sola línea de código Conocerá los beneficios de BigQuery ML. Luego, se analiza cómo optimizar un modelo de aprendizaje automático (AA) y cómo la generalización y el muestreo pueden ayudar a evaluar la calidad de los modelos de AA para el entrenamiento |
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Launching into Machine Learning en Français (Coursera) https://www.coursera.org/learn/launching-machine-learning-fr Au début de ce cours, vous trouverez une discussion concernant les données, expliquant comment améliorer leur qualité et comment effectuer des analyses exploratoires. Ensuite, nous vous présenterons Vertex AI AutoML et vous expliquerons comment créer, entraîner et déployer un modèle de machine learning (ML) sans écrire une ligne de code. Vous découvrirez également les avantages de BigQuery ML. Enfin, nous verrons comment optimiser un modèle de ML, et en quoi la généralisation ainsi que l'échanti |
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Launching into Machine Learning 日本語版 (Coursera) https://www.coursera.org/learn/launching-machine-learning-jp まず、データ品質を向上させる方法や探索的データ分析を実行する方法など、データについての議論から始めます。Vertex AI AutoML についてと、コードを 1 行も記述せずに ML モデルを構築、トレーニング、デプロイする方法を説明します。BigQuery ML のメリットを理解していただけます。その後、機械学習（ML）モデルを最適化する方法、一般化とサンプリングを活用してカスタム トレーニング向けの ML モデルの品質を評価する方法を説明します。 |
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Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro (Coursera) https://www.coursera.org/learn/leveraging-unstructured-data-dataproc-gcp-br Este curso intensivo de uma semana baseia-se nos cursos anteriores da especialização Data Engineering on Google Cloud Platform. Por meio de videoaulas, demonstrações e laboratórios práticos, você aprenderá a criar e gerenciar clusters de computação para executar jobs do Hadoop, Spark, Pig e/ou Hive no Google Cloud Platform.Você também aprenderá a acessar várias opções de armazenamento em nuvem dos clusters de computação e integrar os recursos de machine learning do Google aos respectivos program |
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Logging and Monitoring in Google Cloud (Coursera) https://www.coursera.org/learn/logging-monitoring-observability-google-cloud This course teaches participants techniques for monitoring and improving infrastructure and application performance in Google Cloud. Using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage. |
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Machine Learning for Trading (CourseraSpecs) https://www.coursera.org/specializations/machine-learning-trading Start Your Career in Machine Learning for Trading. Learn the machine learning techniques used in quantitative trading. |
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Machine Learning on Google Cloud (CourseraSpecs) https://www.coursera.org/specializations/machine-learning-tensorflow-gcp Offered by Google Cloud. Learn machine learning with Google Cloud. Real-world experimentation with end-to-end ML |
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Machine Learning Operations (MLOps): Getting Started (Coursera) https://www.coursera.org/learn/mlops-fundamentals This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the |
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Machine Learning with TensorFlow Google Cloud 日本語版 (CourseraSpecs) https://www.coursera.org/specializations/machine-learning-tensorflow-gcp-jp Offered by Google Cloud. Google Cloud で機械学習（ML）について学ぶ. 実践的なデータを使用した包括的な ML 実習 |
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Machine Learning with TensorFlow on Google Cloud em Português Brasileiro (CourseraSpecs) https://www.coursera.org/specializations/machine-learning-tensorflow-gcp-br Offered by Google Cloud. Aprenda sobre o AM com o Google Cloud. Experimentos práticos com AM em todas as etapas. |
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Machine Learning with TensorFlow on Google Cloud en Español (CourseraSpecs) https://www.coursera.org/specializations/machine-learning-tensorflow-gcp-es Offered by Google Cloud. Descubra el AA con Google Cloud. Experimentación en el mundo real con AA de extremo a extremo. |
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Machine Learning with TensorFlow on Google Cloud en Français (CourseraSpecs) https://www.coursera.org/specializations/machine-learning-tensorflow-gcp-fr Offered by Google Cloud. Apprenez à utiliser le ML avec Google Cloud. Découvrez et utilisez le machine learning de bout en bout en ... |
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Managing and Securing the Apigee Hybrid API Platform (Coursera) https://www.coursera.org/learn/management-and-security-of-apigee-hybrid-api-platform This course discusses how environments are managed in Apigee hybrid, and how runtime plane components are secured. You will also learn how to deploy and debug API proxies in Apigee hybrid, and about capacity planning and scaling. |
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Managing Change when Moving to Google Cloud (Coursera) https://www.coursera.org/learn/managing-change-when-moving-to-google-cloud Moving to the cloud creates numerous opportunities to start working in a new way and it empowers the workforce to better collaborate and innovate. But it’s also a big change. Sometimes the success of the change hinges not on the change itself, but on how it’s managed. This course will help people managers to understand some of the key challenges associated with cloud adoption, and provide them with a verified in-the-field framework that will assist them in supporting their teams on the change jo |
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Managing Google Cloud's Apigee API Platform for Hybrid Cloud (CourseraSpecs) https://www.coursera.org/specializations/managing-apigee-api-platform-for-hybrid-cloud Offered by Google Cloud. Install and Manage the Apigee Hybrid API Platform. Understand the architecture, terminology and concepts that are ... |
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Managing Google Workspace (Coursera) https://www.coursera.org/learn/managing-google-workspace Managing Google Workspace is the second course in the Google Workspace Administration series. This course focuses on the Google Workspace core services such as Gmail, Calendar, and Drive & Docs. You will become familiar with the various service settings, and learn how to enable them for all or just a subset of your users. You will gain an understanding of Google Vault, Google’s ediscovery service. You will understand the various admin console reports that are available and be able to search and |
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Managing Machine Learning Projects with Google Cloud (Coursera) https://www.coursera.org/learn/machine-learning-business-professionals Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gai |
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Managing Security in Google Cloud (Coursera) https://www.coursera.org/learn/managing-security-in-google-cloud-platform This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, Resource Manager, Cloud IAM, Virtual Private Cloud firewalls, Cloud Load Balancing, Cloud Peering, Cloud Interconnect, and VPC Service Controls. This is the first course of the Security in Google Cloud series. Aft |
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Mitigating Security Vulnerabilities on Google Cloud (Coursera) https://www.coursera.org/learn/mitigating-security-vulnerabilites-gcp In this self-paced training course, participants learn mitigations for attacks at many points in a Google Cloud-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use. They also learn about the Security Command Center, cloud logging and audit logging, and using Forseti to view overall compliance with your organization's security policies. |
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ML Pipelines on Google Cloud (Coursera) https://www.coursera.org/learn/ml-pipelines-google-cloud In this course, you will be learning from ML Engineers and Trainers who work with the state-of-the-art development of ML pipelines here at Google Cloud. The first few modules will cover about TensorFlow Extended (or TFX), which is Google’s production machine learning platform based on TensorFlow for management of ML pipelines and metadata. You will learn about pipeline components and pipeline orchestration with TFX. You will also learn how you can automate your pipeline through continuous integ |
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Modernize Infrastructure and Applications with Google Cloud (Coursera) https://www.coursera.org/learn/google-cloud-product-fundamentals Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. ""Modernize Infrastructure and Applications with Google Cloud"" explores these challenges and offers solutions to overcome them by using cloud technology. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in |
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Modernizing Data Lakes and Data Warehouses with GCP em Português Brasileiro (Coursera) https://www.coursera.org/learn/data-lakes-data-warehouses-gcp-br 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 |
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Modernizing Data Lakes and Data Warehouses with GCP en Español (Coursera) https://www.coursera.org/learn/data-lakes-data-warehouses-gcp-es Los dos componentes clave de cualquier canalización de datos son los data lakes y los almacenes de datos. En este curso, se destacan los casos de uso de cada tipo de almacenamiento y se analizan en profundidad las soluciones de data lakes y almacenes disponibles en Google Cloud con detalles técnicos. Además, en este curso, se describen el rol del ingeniero en datos, los beneficios de las canalizaciones de datos exitosas para las operaciones comerciales y por qué la ingeniería de datos debe reali |
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Modernizing Data Lakes and Data Warehouses with GCP en Français (Coursera) https://www.coursera.org/learn/data-lakes-data-warehouses-gcp-fr Les lacs de données et les entrepôts de données sont les deux principaux composants des pipelines de données. Ce cours présente des cas d'utilisation de chaque type de stockage, ainsi que les détails techniques des solutions de lacs et d'entrepôts de données disponibles sur Google Cloud. Il décrit également le rôle des ingénieurs de données et les avantages d'un pipeline de données réussi sur les opérations commerciales, avant d'expliquer pourquoi il est important de procéder à l'ingénierie des |
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Modernizing Data Lakes and Data Warehouses with GCP 日本語版 (Coursera) https://www.coursera.org/learn/data-lakes-data-warehouses-gcp-jp "すべてのデータ パイプラインには、データレイクとデータ ウェアハウスという 2 つの主要コンポーネントがあります。このコースでは、各ストレージ タイプのユースケースを紹介し、Google Cloud で利用可能なデータレイクとデータ ウェアハウスのソリューションを技術的に詳しく説明します。また、データ エンジニアの役割や、効果的なデータ パイプラインが事業運営にもたらすメリットについて確認し、クラウド環境でデータ エンジニアリングを行うべき理由を説明します。 これは「Data Engineering on Google Cloud」シリーズの最初のコースです。このコースを修了したら、「Building Batch Data Pipelines on Google Cloud」コースに登録してください。" |
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Modernizing Data Lakes and Data Warehouses with Google Cloud (Coursera) https://www.coursera.org/learn/data-lakes-data-warehouses-gcp The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud seri |
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Natural Language Processing on Google Cloud (Coursera) https://www.coursera.org/learn/sequence-models-tensorflow-gcp This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow. - Recognize the NLP products and the solutions on Google Cloud. - Create an end-to-end NLP workflow by using AutoML with Vertex AI. - Build different NLP models including DNN, RNN, LSTM, and GRU by using TensorFlow. - Recognize advanced NLP models such as encoder-d |
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Networking in Google Cloud (CourseraSpecs) https://www.coursera.org/specializations/networking-google-cloud-platform Offered by Google Cloud. Launch your career in Cloud Networking. Design, develop, and manage cloud networking solutions to drive business ... |
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Networking in Google Cloud en Français (CourseraSpecs) https://www.coursera.org/specializations/networking-google-cloud-platform-fr Offered by Google Cloud. |
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Networking in Google Cloud 日本語版 (CourseraSpecs) https://www.coursera.org/specializations/networking-google-cloud-platform-jp Offered by Google Cloud. であなたのキャリアを開始します Cloud Networking. クラウドネットワーキングソリューションを設計、開発、および管理して、ビジネス目標を推進します。 |
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Networking in Google Cloud: Defining and Implementing Networks (Coursera) https://www.coursera.org/learn/networking-gcp-defining-implementing-networks This self-paced training course gives participants broad study of networking options on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy Google Cloud networking technologies, such as Google Cloud Virtual Private Cloud (VPC) networks, subnets and firewalls. The course also covers access control to networks, sharing networks and load balancing. |
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Networking in Google Cloud: Hybrid Connectivity and Network Management (Coursera) https://www.coursera.org/learn/networking-gcp-hybrid-connectivity-network-management This self-paced training course builds on the Networking in Google Cloud: Defining and Implementing Networks course and enhances the study of networking options on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, you explore and deploy Google Cloud networking technologies, such as common network design patterns, connectivity to Google Cloud VPC networks, and private connection options. The course also covers optimizing network performance and cost by using Network Serv |
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On Premises Capacity Upgrade and Monitoring with Google Cloud's Apigee API Platform (Coursera) https://www.coursera.org/learn/onprem-upgrade-apigee-gcp Learn how to upgrade capacity for the Apigee for private cloud platform installation, and how to monitor the platform. |
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On Premises Installation and Fundamentals with Google Cloud's Apigee API Platform (Coursera) https://www.coursera.org/learn/onprem-fundamentals-apigee-gcp This course introduces you to the fundamentals and advanced practices applicable to the installation and management of Google Cloud's Apigee API Platform for private cloud. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, install, secure, manage, and scale Apigee API Platform. |
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On Premises Management, Security, and Upgrade with Google Cloud's Apigee API Platform (Coursera) https://www.coursera.org/learn/onprem-mgmt-security-apigee-gcp This course discusses the management and operation of the Apigee platform for private cloud. It includes topics on operational practices, API deployment, analytics, security and upgrade of the platform. |
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Optimizing Your Google Cloud Costs (Coursera) https://www.coursera.org/learn/gcp-cost-optimization Optimizing Your Google Cloud Costs is the second course in a two-part series on Google Cloud billing and cost management essentials. This course is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. You'll learn several ways to control and optimize your Google Cloud costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts. In the hands-on labs, you’ll |
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Planning for a Google Workspace Deployment (Coursera) https://www.coursera.org/learn/deploying-google-workspace Planning for a Google Workspace Deployment is the final course in the Google Workspace Administration series. In this course, you will be introduced to Google's deployment methodology and best practices. You will follow Katelyn and Marcus as they plan for a Google Workspace deployment at Cymbal. They'll focus on the core technical project areas of provisioning, mail flow, data migration, and coexistence, and will consider the best deployment strategy for each area. You will also be introduced |