HPE Digital Learner Google Cloud for Developers (Intermediate) Content Pack

HPE Digital Learner Google Cloud for Developers (Intermediate) Content Pack

Content Pack data sheet HPE Digital Learner Google Cloud for Developers (Intermediate) Content Pack This self-paced eLearning Content Pack provides the required HPE Content Pack CP020 number training to help transition a traditional IT architect into a cloud architect utilizing the Google public cloud environment. This Content Pack 20 Hours length is a comprehensive intermediate training series that includes Content Pack Category 2 many core areas required to plan, design and implement category modern cloud infrastructures, applications and data in the Learn more View now Google public cloud. This training is intended for IT personnel who need to rapidly uplift their IT/cloud skills as part of an ongoing business and operational strategy to migrate IT to Google public cloud. Why HPE Education Services? • IDC MarketScape leader 5 years running for IT education and training* Audience Content Pack objectives • Recognized by IDC for leading with This Content Pack provides the information global coverage, unmatched technical • IT professionals including managers, expertise, and targeted education engineers and developers evaluating or necessary needed to transition a traditional consulting services* implementing application environments on IT architect into a cloud architect capable of • Key partnerships with industry leaders Google Cloud Platform working within a typical Google public cloud OpenStack®, VMware®, Linux®, Microsoft®, environment. This training series provides • Data professionals who are responsible ITIL, PMI, CSA, and SUSE Google public cloud introductory and for provisioning and optimizing big data • Complete continuum of training delivery fundamentals training while focusing on key solutions and data enthusiasts getting options—self-paced eLearning, custom technology areas, including Kubernetes education consulting, traditional started with Google Cloud Platform classroom, video on-demand instruction, (introductory, deployment on the Google live virtual instructor-led with hands-on • Software developers, architects or public cloud, Kubernetes concepts and lab, dedicated onsite training deployment engineers who are interested in Kubernetes clusters), SQL (SQL for • Simplified purchase option with container-based infrastructure developers, instance management, etc.), and HPE Training Credits • Solution developers, solution architects and G Suite (admin and user management, group/ systems operations professionals looking to OU management, email and calendar learn Google Cloud SQL to implement and management, security, service and mobile maintain Cloud SQL environments, and to development management). This training will create and deploy applications that store help the student transition to a cloud data in Cloud SQL architect role within a typical Google public • Individuals looking to obtain the Google cloud environment and will also assist with Qualified Cloud SQL Developer certification the path to Google Certification. • G Suite administrators who are responsible for G Suite user management *Realize Technology Value with Training, IDC Infographic 2037, Sponsored by HPE, October 2017 Content Pack data sheet Page 2 Detailed Content Pack outline Google Cloud • Explain the value features of Google Cloud Platform • Identify the features of Google Cloud Platform’s storage and Google Cloud Platform offers a wide array of powerful IaaS products and services database services and SaaS cloud solutions. In this course, the various service • Identify the services components of the Google • Identify the features of Google Cloud Platform’s networking features and options are explored as well as the necessary Cloud Platform, including Compute Engine, App services steps for getting started with Google Cloud Platform with a Engine, Container Engine, container registry and Google email account. cloud function • Identify the features of Google Cloud Platform’s big data services • Identify the storage and database services components of the Google Cloud Platform, • Manage platform projects, permissions and resources including Cloud Storage, Cloud SQL, Cloud Bigtable, Cloud Datastore and Persistent Disk • Register for a free trial of Google Cloud Platform using a Gmail account • Identify the big data services components of the Google Cloud Platform, including BigQuery, Cloud • Create a project using the Google Cloud Platform Console Dataflow, Cloud Dataproc, Cloud Datalab, Cloud Pub/Sub and Genomics • Realize options for identity and access management • Identify the networking services components of • Deploy a LAMP stack using Google Cloud Launcher the Google Cloud Platform, including cloud virtual network, cloud load balancing, cloud CDN, cloud • Recognize different ways to interact with the Google Cloud interconnect and cloud DNS Platform • Define the concepts and components associated • Recognize the basic components, terms and features of with Google Cloud infrastructure and services Google Cloud Platform • Define Google Cloud regions with examples • Define Google Cloud zones with examples • Differentiate between Cloud Platform’s platform as a service (PaaS), software-as-a-service (SaaS), and infrastructure as a service (IaaS) Google Cloud Basics • Define which items define cloud computing • Define what hybrid clouds are and when they should be In this course, you will discover the characteristics that define used Recognize how cloud computing can provide cloud computing. This course explores cloud types such • business advantages • Describe SaaS cloud services as public and community, and also covers common cloud service models. • Define what public clouds are and when they • Describe IaaS cloud services should be used • Describe PaaS cloud services • Define what private clouds are and when they should be used • Describe DRaaS cloud services • Define what community clouds are and when they should be used Google Cloud Platform Fundamentals • Describe GCP and its use with big data • Describe the Web Admin UI features of the Google Cloud Google Cloud Platform (GCP) offers several solutions to Platform console Recognize the various services offered by GCP streamline any enterprise while keeping costs low. This • • Demonstrate the steps in creating a project course covers these benefits, including how to navigate GCP • Identify the benefits of GCP for data engineers with and how to choose between the various data processing use case scenarios • Demonstrate a GCP process of using BigQuery to query a products it provides. dataset • Compare GCP with other models for data engineering • Recognize the various GCP data products and services • Perform the steps necessary to create a GCP account Introduction to Kubernetes • Describe Kubernetes and how it is used for • Describe using Kubernetes on a local machine container management In this course, you will learn how to configure and use • Install Minikube on a Windows 10 local machine Kubernetes on a local machine. • Describe Docker and how it is used with Kubernetes • Install Minikube locally on a Mac operating system • Install Docker • Install Kubernetes on an Ubuntu Linux local machine • Work with Docker • Use Kubectl command line interface tool • Navigate and use Docker Hub • Use Kubernetes on a local machine • Work with Docker Swarms • Work with Docker commands to clean up images and containers Content Pack data sheet Page 3 Kubernetes on Google Cloud Platform • Create a Kubernetes cluster using the Google • Delete clusters and services using the Google Cloud SDK In this course, you will learn how to run Kubernetes on the Cloud Platform Console shell Google Cloud Platform. • Use Google Cloud Shell to create a Kubernetes • Deploy containers from Google Cloud Launcher to cluster Kubernetes • Install the Google Cloud SDK • Use the Kubernetes Engine dashboards on the Google Cloud Platform • Install the kubectl command line tool in the Google Cloud SDK shell • Use the compute engine dashboard and API • Use gcloud and kubectl • Work with Kubernetes on the Google Cloud Platform Kubernetes Concepts • Work with containers in Kubernetes • Work with labels and selectors in Kubernetes In this course, you will learn the key concepts and controllers Use nodes in Kubernetes Use namespaces in Kubernetes involved in Kubernetes. This will help you get an in depth • • understanding of how it works. • Work with pods in Kubernetes • Work with PetSets in Kubernetes • Work with a Replication Controller in Kubernetes • Work with Ingress objects in Kubernetes • Use Services in Kubernetes • Implement autoscaling in Kubernetes • Work with Volumes in Kubernetes • Use ReplicaSets in Kubernetes • Use Secrets and ConfigMaps in Kubernetes • Use Deployments in Kubernetes • Describe Names in Kubernetes • Work with StatefulSets in Kubernetes • Work with annotations in Kubernetes • Work with DaemonSets in Kubernetes • Implement Jobs in Kubernetes • Work with Kubernetes concepts Kubernetes Clusters • Create a Kubernetes cluster on Google Cloud • Work with Kubernetes Cluster Autoscaler In this course, you will learn about Kubernetes clusters and Platform and using Minikube on Windows 10 Prepare an environment to work with multicluster Ingress how to use the kubectl command-line tool to create, start, • • Resize a Kubernetes cluster with Kubernetes clusters stop, delete and much more. • Stop a Kubernetes cluster • Deploy an application to multiple Kubernetes clusters • Delete a cluster in Kubernetes • Work with the kubemci command line tool to deploy global multicluster Ingress with Kubernetes clusters • Upgrade a

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