Cloud Engineer Course

A Professional Cloud Developer builds and deploys scalable, secure, and highly available applications by using Google-recommended tools and best practices. This individual has experience with cloud-native applications, containerized applications, APIs, developer tools, orchestration tools, managed services, test strategies, serverless platforms, and next-generation databases. This individual also has proficiency with at least one general-purpose programming language and instruments their code to produce metrics, logs, and traces.

Duration 12 days • 84 hours • $9600 excl tax

  • Google Cloud Fundamentals: Core Infrastructure

    What you will learn in 1 day

    (3.8/5) 47 ratings
    The opinions come from end-of-training evaluations. The score is an average based on the following themes: Richness of content • Quality of presentation • Theory/practice ratio • Relevance of examples • Interest in practical work
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  • Architecting with Google Compute Engine

    What you will learn in 3 days

    • Connaître les bonnes pratiques relatives au développement d’applications
    • Choisir la solution de stockage adaptée pour les données des applications
    • Mettre en œuvre la gestion des identités fédérées
    • Développer des microservices et des composants d’application faiblement couplés
    • Intégrer les composants d’une application et les sources de données
    • Déboguer, tracer et surveiller des applications
    • Effectuer des déploiements reproductibles à l’aide de conteneurs et de services de déploiement
    • Choisir l’environnement d’exécution adapté à l’application, utiliser Google Kubernetes Engine en tant qu’environnement d’exécution, puis passer à une solution no-ops avec l’environnement flexible Google App Engine
    (0/5) 3 ratings
    The opinions come from end-of-training evaluations. The score is an average based on the following themes: Richness of content • Quality of presentation • Theory/practice ratio • Relevance of examples • Interest in practical work
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  • Premiers pas avec Google Kubernetes Engine

    What you will learn in 1 day

    • Identifier les piliers de l'architecture de Kubernetes.
    • Identifier les piliers de l'architecture de Google Cloud.
    • Identifier comment le réseau fonctionne dans Kubernetes.
    • Créer des clusters Kubernetes en utilisant la console Google Cloud Console et les commandes gcloud / kubectl.
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    The opinions come from end-of-training evaluations. The score is an average based on the following themes: Richness of content • Quality of presentation • Theory/practice ratio • Relevance of examples • Interest in practical work
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  • Architecting with Google Kubernetes Engine

    What you will learn in 3 days

    • Understand how software containers work.
    • Understand the architecture of Kubernetes.
    • Understand the architecture of GoogleCloud.
    • Understand how pod networking works in Google Kubernetes Engine.
    • Create and manage Kubernetes Engine clusters using the Google Cloud Console and gcloud/kubectl commands.
    • Launch, rollback, and expose jobs in Kubernetes.
    • Manage access control using Kubernetes RBAC and IAM.
    • Manage pod security policies and network policies.
    • Use Secrets and ConfigMaps to isolate security credentials and configuration artifacts.
    • Understand Google Cloud choices for managed storage services.
    • Monitor applications running in Google Kubernetes Engine.
    (4.1/5) 46 ratings
    The opinions come from end-of-training evaluations. The score is an average based on the following themes: Richness of content • Quality of presentation • Theory/practice ratio • Relevance of examples • Interest in practical work
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  • Logging, Monitoring, and Observability in Google Cloud

    What you will learn in 3 days

    • Plan and implement a well-architected logging and monitoring architecture
    • Measure and avoid customer pain with Service Level Indicators (SLIs) and Service Level Objectives (SLOs)
    • Visualize cloud health with dashboards
    • Construct automated alerts
    • Monitor, troubleshoot, and improve Google Cloud infrastructure
    • Write, analyze, and export Google Cloud logs
    • Find code defects, identify bottlenecks, and improve performance of production code
    • Optimize monitoring costs
    (3.7/5) 20 ratings
    The opinions come from end-of-training evaluations. The score is an average based on the following themes: Richness of content • Quality of presentation • Theory/practice ratio • Relevance of examples • Interest in practical work
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  • Getting Started with Terraform for Google Cloud

    What you will learn in 1 day

    • Définir le besoin métier en matière d'"infrastructure as code" et les avantages de son utilisation dans votre environnement.
    • Expliquer les caractéristiques et fonctionnalités de Terraform.
    • Utiliser les ressources, les variables et les valeurs de sortie Terraform pour créer des ressources d'infrastructure Google Cloud.
    • Utiliser les modules Terraform pour créer des configurations réutilisables.
    • Expliquer l'état de Terraform et son importance.
    (0/5) 0 ratings
    The opinions come from end-of-training evaluations. The score is an average based on the following themes: Richness of content • Quality of presentation • Theory/practice ratio • Relevance of examples • Interest in practical work
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