Course: Google Cloud Platform Fundamentals
duration: 6 hours |
Language: English (US) |
access duration: 90 days |
Details
In this Google course you will learn the different features of the Google Cloud Platform. You will learn the aspects of the Google Cloud Platform Container Engine, Compute Engine and App Engine. At the end of this courses you will also learn about Google Cloud Datastore, storage and the possibilities of big data and machine learning in the Google Cloud Platform. This course is suitable for learning more of the Google Cloud platform.
Result
After completing this course you are familiar with the different features of the Google Cloud Platform.
Prerequisites
There is no specific knowledge required.
Target audience
System Administrator, Helpdesk Operator
Content
Google Cloud Platform Fundamentals
Google Cloud
- start the course
- explain the value features of Google Cloud Platform products and services
- identify the components of the Google Cloud Platform services components including Compute Engine, App Engine, Container Engine, container registry, and cloud function
- identify the components of the Google Cloud Platform services components including Storage and Databases: Cloud Storage, Cloud SQL, Cloud Bigtable, Cloud Datastore, and Persistent Disk
- identify the components of the Google Cloud Platform Big Data services including BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Datalab, Cloud Pub/Sub, and Genomics
- identify the components of the Google Cloud Platform networking services components including: cloud virtual network, cloud load balancing, cloud CDN, cloud interconnect, and cloud DNS
- define the concepts and components associated with the Google Cloud infrastructure and services
- 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)
- identify the features of Google Cloud Platform's storage and database services
- identify the features of Google Cloud Platform's networking services
- identify the features of Google Cloud Platform's Big Data services
- manage platform projects, permissions, and resources
- register for a free trial with Google Cloud Platform using a Gmail account
- create a project using the Google Cloud Platform Console
- realize options for identity and access management
- deploy a LAMP stack using Google Cloud Launcher
- recognize different ways to interact with the Google Cloud Platform
- recognize the basic components, terms, and features of Google Cloud Platform
Container, Compute, and App Engine with Networking Services
- start the course
- describe Google's Container Engine and Kubernetes
- define the concept of a container registry
- deploy an application by creating a container and using the Google Cloud SDK
- create an image and push it to the Container Registry
- use kubectl to deploy an application to a container
- identify characteristics and purpose of Google Compute Engine Networking Service
- describe the relationship between networks, instances, and firewalls
- create a network in the Web UI
- create IP addresses in the Web UI
- create firewall rules in the Web UI
- describe networks and route collection
- describe IP forwarding
- describe Network Address Translation gateways
- describe network load balancing and HTTP load balancing
- identify the purpose and benefits of Google App Engine
- compare traditional builds with Google App Engine builds
- survey and define the various App Engine services
- compare the App Engine Standard and App Engine Flexible environments
- deploy a Python application to the App Engine environment
- identify GCP attributes of Compute, Container, and App Engine as well as networking services
Google Cloud Big Data and Machine Learning
- start the course
- identify the purpose and characteristics of Google Cloud Datastore
- define various datastore terms including kind, entity, property, keys, and entity groups
- define development libraries, queries, and indexes
- deploy an App Engine application backed by Google Datastore
- identify the features of Google Cloud Storage
- identify the features of Google Cloud SQL
- identify the features of Google Cloud Bigtable
- create a Google Cloud Storage bucket and use it to store images
- view objects using the Cloud Storage Browser
- identify considerations for deployment of Cloud Storage required Applications
- identify characteristics and purpose of Google Cloud Big Data and Machine Learning platforms
- recognize loading a CSV File Into a BigQuery Table
- recognize querying data using the CLI
- recognize querying data using BigQuery Web UI
- recognize querying data using BigQuery Shell
- perform interactive queries using BigQuery
- review the basic features of datastore, storage options, big data, and machine learning
Course options
We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.
Optional practice exam (trial exam)
To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam.
Optional practice lab
To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediately. The lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience.
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