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CloudLabs
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Course Description
Learning Objectives
This course teaches participants the following skills:
- Identify the purpose and value of Google Cloud Platform products and services
- Interact with Google Cloud Platform services
- Describe ways in which customers have used Google Cloud Platform
- Choose among and use application deployment environments on Google Cloud
- Choose among and use Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
- Make basic use of BigQuery, Google’s managed data warehouse for analytics
- Make basic use of Cloud Deployment Manager, Google’s tool for creating and managing cloud resources through templates
- Platform: Google App Engine, Google Kubernetes Engine, and Google Compute Engine
- Make basic use of Google Stackdriver, Google’s monitoring, logging, and diagnostics system
Schedule
Certification Curriculum
Introducing Google Cloud Platform
- Explain the advantages of Google Cloud Platform.
- Define the components of Google’s network infrastructure, including: Points of presence, data centers, regions, and zones.
- Understand the difference between Infrastructure-as-a- Service (IaaS) and Platform-as-a-Service (PaaS).
Getting Started with Google Cloud Platform
- Identify the purpose of projects on Google Cloud Platform.
- Understand the purpose of and use cases for Identity and Access Management.
- List the methods of interacting with Google Cloud Platform.
- Lab: Getting Started with Google Cloud Platform.
Virtual Machines and Networks in the Cloud
- Identify the purpose of and use cases for Google Compute Engine.
- Understand the various Google Cloud Platform networking and operational tools and services.
- Lab: Compute Engine
Storage in the Cloud
- Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore.
- Learn how to choose between the various storage options on Google Cloud Platform.
- Lab: Cloud Storage and Cloud SQL
Containers in the Cloud
- Define the concept of a container and identify uses for containers.
- Identify the purpose of and use cases for Google Kubernetes Engine and Kubernetes.
- Lab: Kubernetes Engine
Applications in the Cloud
- Understand the purpose of and use cases for Google App Engine.
- Contrast the App Engine Standard environment with the App Engine Flexible environment.
- Understand the purpose of and use cases for Google Cloud Endpoints.
- Lab: App Engine
Developing, Deploying, and Monitoring in the Cloud
- Understand options for software developers to host their source code.
- Understand the purpose of template-based creation and management of resources.
- Understand the purpose of integrated monitoring, alerting, and debugging.
- Lab: Deployment Manager and Stackdriver
Big Data and Machine Learning in the Cloud
- Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.
- Lab: BigQuery
Prerequisites
Familiarity with the Linux command line, web servers, and text editors. This class is intended for the following:
- Individuals planning to deploy applications and create application environments on Google Cloud Platform.
- Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform.
- Executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs.
Download Brochure
Join Google Cloud Platform Fundamentals: Core Infrastructure Training and gain the knowledge and skills needed to land an entry-level job in Cloud Platform Fundamentals. A Path to In-Demand Jobs. No Experience Necessary.
Certification Assessment
When you complete all of the courses in the program, you’ll earn a Certificate to share with your professional network as well as unlock access to career support resources to help you kickstart your new career. Many Professional Certificates have hiring partners that recognize the Professional Certificate credential and others can help prepare you for a certification exam. You can find more information on individual Professional Certificate pages where it applies.
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- Post-workshop support by the Coaches
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Training FAQ's
This is in-person training.
One of the most exciting parts of being a data analyst is the number of opportunities available. Nearly every company has the ability to collect data, and the amount of data is growing larger and larger.
Organizations of all kinds, in industries as varied as entertainment, finance, health care, tech, and more, need data analysts to help them improve their processes and launch new products.
This course is recommended for Data and Business Analysts interested in getting started in developing data engineering skills.
This course provides an introduction to Google Cloud capabilities and a deeper dive of the data processing capabilities.
One of the most exciting parts of being a data analyst is the number of opportunities available. Nearly every company has the ability to collect data, and the amount of data is growing larger and larger.
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