Google Workspace Security (Coursera)

https://www.coursera.org/learn/google-workspace-security

Google Workspace Security is the third course in the Google Workspace Administration series. In this course you will focus on the various aspects of Google Workspace Security including user password policies and how to enable and enforce two step verification (2SV) for your users. You will learn about application security and understand how to whitelist and block API access to your account. You will see how Google Workspace can easily be integrated with a number of predefined 3rd party applicat

Hands-On Labs in Google Cloud for Networking Engineers (Coursera)

https://www.coursera.org/learn/hands-on-labs-google-cloud-networking-engineer

This course consists of a series of labs, designed to provide the learner hands-on experience performing a variety of tasks pertaining to setup and maintenance of their Google VPC networks.

Hands-On Labs in Google Cloud for Security Engineers (Coursera)

https://www.coursera.org/learn/hands-on-labs-google-cloud-security-engineer

Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this course you will get added hands-on practice understanding and securing resources with multiple Google Cloud services including Google Kubernetes Engine (GKE). This course is unlike other courses, in that it consists of one module of background videos, followed by a series of hands-on practice exercises on Google Cloud via Q

How Google does Machine Learning (Coursera)

https://www.coursera.org/learn/google-machine-learning

This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models. The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.

How Google does Machine Learning em Português Brasileiro (Coursera)

https://www.coursera.org/learn/google-machine-learning-br

"Quais são as práticas recomendadas para implementar machine learning no Google Cloud? O que é Vertex AI e como é possível usar a plataforma para criar, treinar e implantar modelos de machine learning do AutoML com rapidez e sem escrever nenhuma linha de código? O que é machine learning e que tipos de problema ele pode resolver? O Google pensa em machine learning de uma forma um pouco diferente. Para nós, o processo de ML é sobre fornecer uma plataforma unificada para conjuntos de dados gere

How Google does Machine Learning en Español (Coursera)

https://www.coursera.org/learn/google-machine-learning-es

¿Cuáles son las prácticas recomendadas para implementar el aprendizaje automático en Google Cloud? ¿Qué es Vertex AI y cómo se puede utilizar la plataforma para crear, entrenar e implementar rápidamente modelos de aprendizaje automático de AutoML sin escribir una sola línea de código? ¿Qué es el aprendizaje automático? ¿Qué tipos de problemas puede solucionar? Google considera que el aprendizaje automático es diferente: se trata de proporcionar una plataforma unificada para conjuntos de dato

How Google does Machine Learning en Français (Coursera)

https://www.coursera.org/learn/google-machine-learning-fr

"Quelles sont les bonnes pratiques pour implémenter le machine learning sur Google Cloud ? En quoi consiste la plate-forme Vertex AI et comment pouvez-vous l'utiliser pour créer, entraîner et déployer rapidement des modèles de machine learning AutoML sans écrire une seule ligne de code ? Qu'est-ce que le machine learning et quels types de problèmes permet-il de résoudre ? Google aborde le machine learning d'une façon particulière, qui consiste à fournir une plate-forme unifiée pour les ensemb

How Google does Machine Learning 日本語版 (Coursera)

https://www.coursera.org/learn/google-machine-learning-jp

"Google Cloud で機械学習を実装する際のベスト プラクティスには何があるでしょうか。Vertex AI とは何であり、このプラットフォームを使用してコードを 1 行も記述せずに AutoML 機械学習モデルを迅速に構築、トレーニング、デプロイするにはどうすればよいでしょうか。機械学習とはどのようなもので、どのような問題の解決に役立つのでしょうか。 Google では機械学習について独自の視点で考えています。マネージド データセット、特徴量ストア、そしてコードを 1 行も記述せずに迅速に機械学習モデルを構築、トレーニング、デプロイする手段を 1 つにまとめた統合プラットフォームを提供するとともに、データにラベル付けし、TensorFlow、SciKit Learn、Pytorch、R やその他のフレームワークを使用して Workbench ノートブックを作成できるようにすることが、Google の考える機械学習の在り方です。Google の Vertex AI プラットフォームでは、カスタムモデルをトレーニングしたり、コンポーネント パイプラインを構築したりすることもで

Installing and Managing Google Cloud’s Apigee API Platform for Private Cloud (CourseraSpecs)

https://www.coursera.org/specializations/apigee-api-gcp-onprem

Offered by Google Cloud. Installing and managing the Apigee API Platform. Learn about the fundamentals of designing, installing and managing ...

Intro to TensorFlow em Português Brasileiro (Coursera)

https://www.coursera.org/learn/intro-tensorflow-br

O objetivo deste curso é aproveitar a flexibilidade e a facilidade de uso do TensorFlow 2.x e do Keras para criar, treinar e implantar modelos de machine learning. Você aprenderá sobre a hierarquia da API TensorFlow 2.x e conhecerá os principais componentes do TensorFlow nos exercícios práticos. Mostraremos como trabalhar com conjuntos de dados e colunas de atributos. Você aprenderá a projetar e criar um pipeline de entrada de dados do TensorFlow 2.x. Você terá uma experiência prática com o c

Intro to TensorFlow en Español (Coursera)

https://www.coursera.org/learn/intro-tensorflow-es

Este curso se enfoca en aprovechar la flexibilidad y facilidad de uso de TensorFlow 2.x y Keras para compilar, entrenar e implementar modelos de aprendizaje automático. Aprenderá sobre la jerarquía de la API de TensorFlow 2.x y conocerá los componentes principales de TensorFlow mediante ejercicios prácticos. Le mostraremos cómo trabajar con conjuntos de datos y columnas de atributos. Aprenderá a diseñar y compilar una canalización de datos de entrada de TensorFlow 2.x. Adquirirá experiencia p

Intro to TensorFlow 日本語版 (Coursera)

https://www.coursera.org/learn/intro-tensorflow-jp

このコースの目的は、柔軟で手軽な TensorFlow 2.x と Keras を使用して、機械学習モデルを作成、トレーニング、およびデプロイすることです。TensorFlow 2.x API の階層について学び、TensorFlow の主要コンポーネントを実践演習で理解します。データセットと特徴列の扱い方について学びます。TensorFlow 2.x 入力データ パイプラインの設計と作成の方法について学びます。tf.data.Dataset を使用して csv データ、NumPy 配列、テキストデータ、および画像を読み込む実践演習を行います。数値、カテゴリ、バケット、およびハッシュの特徴列を作成する実践演習も行います。 Keras Sequential API と Keras Functional API を使用してディープ ラーニング モデルを作成する方法を学びます。活性化関数、損失、および最適化について学びます。Jupyter ノートブックの実践演習では、基本的な線形回帰、基本的なロジスティック回帰、および高度なロジスティック回帰の機械学習モデルを作成できます。Cloud AI

Introduction to AI and Machine Learning on Google Cloud (Coursera)

https://www.coursera.org/learn/introduction-to-ai-and-machine-learning-on-google-cloud

This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project based on the different goals of users, including data scientists, AI developers, and ML engineers.

Introduction to Cloud Identity (Coursera)

https://www.coursera.org/learn/cloud-identity

Introduction to Cloud Identity serves as the starting place for any new Cloud Identity, Identity/Access Management/Mobile Device Management admins as they begin their journey of managing and establishing security and access management best practices for their organization. This 15-30 hour accelerated, one-week course will leave you feeling confident to utilize the basic functions of the Admin Console to manage users, control access to services, configure common security settings, and much more.

Introduction to Generative AI (Coursera)

https://www.coursera.org/learn/introduction-to-generative-ai

This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.

Introduction to Generative AI - Español (Coursera)

https://www.coursera.org/learn/introduction-to-generative-ai---locales

Este es un curso introductorio de microaprendizaje destinado a explicar qué es la IA generativa, cómo se utiliza y en qué se diferencia de los métodos de aprendizaje automático tradicionales. También abarca las herramientas de Google para ayudarte a desarrollar tus propias aplicaciones de IA generativa.

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.

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

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

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

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.

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.

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.

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

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.

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

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

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。

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

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.

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

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

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

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.

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.

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 ...

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.

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

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 ...

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

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

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

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.

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

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

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

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

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。"

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

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