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

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HPE Digital Learner Google Cloud for Architects (Intermediate) Content Pack Content Pack data sheet HPE Digital Learner Google Cloud for Architects (Intermediate) Content Pack This self-paced eLearning Content Pack provides the required HPE Content Pack CP019 number training to help transition from a traditional IT architect role to a cloud architect role utilizing the Google public cloud Content Pack 22 Hours length environment. This is a comprehensive intermediate training Content Pack Category 2 series that includes many core areas required to plan, design category and implement modern cloud infrastructures, applications and Learn more View now data within the 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 the Google public cloud. Why HPE Education Services? • IDC MarketScape leader 5 years running for IT education and training* Audience • Recognized by IDC for leading with global coverage, unmatched technical • IT professionals, including managers, Google public cloud domain as part of an expertise, and targeted education engineers and developers, evaluating or ongoing hybrid cloud strategy. Areas of focus consulting services* implementing application environments on include Google cloud introductory • Key partnerships with industry leaders Google Cloud Platform fundamentals training as well as specific OpenStack®, VMware®, Linux®, Microsoft®, and detailed technology training around a ITIL, PMI, CSA, and SUSE • Data professionals responsible for provisioning and optimizing big data multitude of other relevant topics such as VM • Complete continuum of training delivery management and configuration, containers, options—self-paced eLearning, custom solutions and data enthusiasts getting education consulting, traditional started with Google Cloud Platform compute and applications engine, networking, classroom, video on-demand instruction, storage and big data, analytics, GCP scaling, live virtual instructor-led with hands-on Content Pack objectives DataProc, APIs and machine learning, identity, lab, dedicated onsite training This Content Pack provides the information access control and security. This training will • Simplified purchase option with help the student rapidly transition to a cloud HPE Training Credits necessary to transition a traditional IT architect into a cloud architect capable of working within architect role working within a typical Google a typical Google public cloud platform. This public cloud environment and will also assist training will introduce many critical baseline with the path to Google Certification. knowledge areas needed to transition to a *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 • Differentiate between Cloud Platform’s platform as a service Google Cloud Platform offers a wide array of powerful IaaS products and services (PaaS), software as a aservice (SaaS) and infrastructure as a and SaaS cloud solutions. In this course, the various service service (IaaS) • Identify the Google Cloud Platform services features and options are explored as well as the necessary components, including Compute Engine, App • Identify the features of Google Cloud Platform’s storage and steps for getting started with Google Cloud Platform with a Engine, Container Engine, Container Registry and database services Google email account. Cloud Functions • Identify the features of Google Cloud Platform’s networking • Identify the Google Cloud Platform storage services and database services components, including Cloud Storage, Cloud SQL, Cloud Bigtable, Cloud • Identify the features of Google Cloud Platform’s big data Datastore and Persistent Disk services • Identify the Google Cloud Platform big data • Manage platform projects, permissions and resources services components, including BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Datalab, Cloud • Register for a free trial with Google Cloud Platform using a Pub/Sub and Genomics Gmail account • Identify the Google Cloud Platform networking • Create a project using the Google Cloud Platform Console services components, including cloud virtual network, cloud load balancing, cloud CDN, cloud • Realize options for identity and access management interconnect and cloud DNS • Deploy a LAMP stack using Google Cloud Launcher • Define the concepts and components associated with the Google Cloud infrastructure and services • Recognize different ways to interact with the Google Cloud Platform • Define Google Cloud regions with examples • Recognize the basic components, terms and features of • Define Google Cloud zones with examples Google Cloud Platform Google Cloud Virtual Machine Deployment • Describe VM instance configuration details • Use the GUI to deploy a Linux VM In this course, you will discover Windows and Linux virtual • Use the GUI to deploy a Windows VM • Use SSH to remotely manage a Linux VM machine (VM) deployment and explore how to connect to • Use RDP to remotely manage a Windows VM these VM instances for management purposes. Google Cloud Virtual Machine Configuration • Describe VM instance configuration details • Use the GUI to deploy a Linux VM Discover Windows and Linux virtual machine (VM) • Use the GUI to deploy a Windows VM • Use SSH to remotely manage a Linux VM deployment and explore how to connect to these VM instances for management purposes. • Use RDP to remotely manage a Windows VM Container, Compute and App Engine with Networking • Describe Google’s Container Engine and • Describe networks and route collection Services Kubernetes • Describe IP forwarding Google Compute Engine offers virtual machines running • Define the concept of a container registry • Describe Network Address Translation gateways in Google’s innovative data centers and worldwide fiber • Deploy an application by creating a container and network. In this course, you will learn about the fundamental using the Google Cloud SDK • Describe network load balancing and HTTP load balancing aspects of the Google Cloud Platform Container Engine, • Create an image and push it to the Container • Identify the purpose and benefits of Google App Engine Compute Engine and App Engine as well as Google’s basic Registry • Compare traditional builds with Google App Engine builds networking services. • Use kubectl to deploy an application to a container • Survey and define the various App Engine services • Identify characteristics and purpose of Google Compute Engine Networking Service • Compare the App Engine Standard and App Engine Flexible environments • Describe the relationship between networks, instances and firewalls • Deploy a Python application to the App Engine environment • Create a network in the Web UI • Identify GCP attributes of Compute, Container and App Engine as well as networking services • Create IP addresses in the Web UI • Create firewall rules in the Web UI Google Cloud Network Components • List Google Cloud network components • Set aside an unchanging public IPv6 address for a VM instance Cloud networking borrows from traditional on-premises • Explain the role that VPCs play in a cloud network configurations. In this course, you will explore and deployment • Link two Google Cloud VPCs together configure Google Cloud network components. • Use the web GUI to manage Google Cloud services • Use the Google Cloud console to add a new subnet • Deploy a Google cloud VPC with an automatic • Explain how Google Cloud firewall rules are processed mode subnet • Create the appropriate firewall rules to allow or deny network • Deploy a Google cloud VPC with a manual mode traffic subnet • Set aside an unchanging public IPv4 address for a VM instance Content Pack data sheet Page 3 Google Cloud Big Data and Machine Learning • Identify the purpose and characteristics of Google • View objects using the Cloud Storage Browser Google Cloud Storage is unified object storage for Cloud Datastore Identify considerations for deployment of Cloud Storage developers and enterprises, from live data serving to data • • Define various datastore terms, including kind, required Applications analytics/ML to data archival. In this course, you will learn entity, property, keys and entity groups about the fundamentals of the Google Cloud Datastore and • Identify characteristics and purpose of Google Cloud Big other storage options along with the basics of Big Data and • Define development libraries, queries, and indexes Data and Machine Learning platforms Machine Learning with Google Cloud Platform. • Deploy an App Engine application backed by • Recognize loading a CSV File into a BigQuery Table Google Datastore • Recognize querying data using the CLI • Identify the features of Google Cloud Storage • Recognize querying data using BigQuery Web UI • Identify the features of Google Cloud SQL • Recognize querying data using BigQuery Shell • Identify the features of Google Cloud Bigtable • Perform interactive queries using BigQuery • Create a Google Cloud Storage bucket and use it to store images • Review the basic features of datastore, storage options, big data and machine learning 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 offers several solutions to streamline Platform console Recognize the various services offered by GCP any enterprise while keeping costs low. This course
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