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Atelier pratique

Présentation de Qwiklabs et Google Cloud Platform

Dans ce premier atelier pratique, vous allez accéder à Qwiklabs et à la console Google Cloud Platform. Vous apprendrez aussi à utiliser les fonctionnalités de base de GCP : les projets, les ressources, les utilisateurs IAM, les rôles, les autorisations, les API et Cloud Shell.

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GCP Essentials

Cette quête d'introduction se compose d'ateliers pratiques qui vous permettent de vous familiariser avec les outils et services de base de Google Cloud Platform. \"GCP Essentials\" est la quête Qwiklabs la plus populaire, et à juste titre. Vous pouvez la suivre sans aucune connaissance (ou presque) du cloud et, une fois la quête terminée, vous disposerez de compétences pratiques qui vous seront utiles pour n'importe quel projet GCP. De l'écriture de lignes de commande Cloud Shell au déploiement de votre première machine virtuelle en passant par l'exécution d'applications sur Kubernetes Engine avec l'équilibrage de charge, \"GCP Essentials\" constitue une excellente introduction aux fonctionnalités de la plate-forme.

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G Suite Essentials

G Suite is Google's Collaborative Applications platform, delivered from Google Cloud. In this introductory-level quest, you will get hands-on practice with G Suite’s core applications from a user perspective. Although there are many more applications and tool components to G Suite than are covered here, you will get experience with the primary apps: Gmail, Calendar, Sheets and a handful of others. Each lab can be completed in 10-15 minutes, but extra time is provided to allow self-directed free exploration of the applications. As an optional final step, you can take the Certification Exam Practice lab, and see the kinds of practice questions and performance-based scenarios are part of the forthcoming G Suite Certification exam.


Google Developer Essentials

This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics and gain insights from data, and develop with pre-trained ML APIs to leverage machine learning event if you are not a Machine Learning expert.You will also experience seamless integration between various Google services and APIs to create intelligent apps.


Understanding Your GCP Costs

This Quest is most suitable for those working in a technology or finance role who are responsible for managing GCP 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 GCP costs with Billing reports, analyze your billing data with BigQuery or Google Sheets, and create custom billing dashboards with Data Studio.


Cloud Healthcare API

Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.


OK Google: Build Interactive Apps with Google Assistant

With Google Assistant expected to be part of over a billion consumer devices by the end of this year, this Quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. Over the course of 5 labs, you will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required -- these labs use the cloud-based Google Assistant simulator environment for developing and testing -- but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.


Google Kubernetes Engine Best Practices

Get Anthos Ready. Demand for Google Kubernetes Engine is growing, and customers are looking to Google and its partners to provide in-depth technical knowledge. This first Google Kubernetes Engine-centric Quest of best practices hands-on labs will get you started containerizing to modernize in place , and then managing your deployed apps and services -- with monitoring, tracing, and logging.


Google Kubernetes Engine Best Practices: Security

Get Anthos Ready. This second Google Kubernetes Engine-centric Quest of best practices hands-on labs focuses on security at scale when deploying and managing production GKE environments -- specifically role-based access control, hardening, VPC networking, and binary authorization.


VM Migration

Google Cloud’s VM migration methodology provides a defined, repeatable path for users to follow. In this quest, you will get hands-on practice with this four-step migration sequence. You will build assessment reports with CloudPhysics, leverage Terraform’s infrastructure-as-code templates, perform lift-and-shift migrations with Cloud Endure, and finally replicate applications as cloud-native workloads. Enroll in this quest and get practice with Google’s current solution set for VM migration. As a bonus we include a basic lab on Google Kubernetes Engine for those needing a refresher.


Environnement cloud