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Google Cloud Platform for Systems Operations Professionals (CPO200) Online Training

  • 30 Hours

IgmGuru's Google Cloud Platform for Systems Operations Professionals Online Training course is planned by Google CPO200 exam to ensure that hopeful passes the exam in the primary endeavor. Get the fundamentals of actualizing application situations and open cloud framework utilizing Google Cloud Platform. Figure out how to send cloud framework parts, for example, systems, frameworks, and applications.

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  • Instructor Led Training : 30 Hrs
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Online Class Room Program

Online Class Room Program

  • 90 days of access to 12+ instructor-led online training classes
  • 180 days of access to high-quality,self-paced learning content designed by experts
  • $350.00

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Batches start from 27 Apr 2019.


Get the basics of implementing application environments and public cloud infrastructure using Google Cloud Platform Training. You’ll learn to implement cloud infrastructure parts like networks, systems, and applications, migrate application environments, work with Google calculate Engine instances and also the Google Cloud SDK, and manage application preparation with Jinja and Python.

What are the course objectives?

Find below the objectives of Google Cloud Platform Training for Systems Operations Professionals (CPO200):

  • This course can introduce you to the implementation of application environments and public cloud infrastructure victimization Google Cloud Platform. 
  • Through instructor-led online lecture rooms and active labs, you’ll gain real-world job expertise on the cloud and become certified in numerous Google Cloud Platform technologies
  • CPO200 course can position you to become job prepared on day one and stand out within the speedily growing cloud services market.

What Skills will you grasp?

When you have completed the Google Cloud Platform Online Training course, you’ll be in a position to:

  • Understand the core tenets of planning and deploying application environments to the cloud
  • Use the Google Cloud Platform Console to form and manage multiple comes and use service accounts and permissions to share view-level access between comes
  • Create Google Compute Engine instances, set authorization scopes, production teams and customize compute Engine pictures
  • Create associate degree instance model and set up multiple instance teams for autoscaling
  • Design a non-default network & review your configuration of network
  • Compare default and non-default networks
  • Create firewall rules with and while not tags
  • Reserve associate degree external science address for associate degree instance
  • Snapshot a reckon Engine instance and an information disk
  • Create a picture employing a boot persistent disk and transfer to Google instrumentality written the account
  • Create a Cloud SQL instance mistreatment the Cloud SDK
  • Deploy and take a look at an internet application
  • Add and question instance and project data mistreatment the Cloud SDK
  • Create associate degree instance employing a startup script in data and Google Cloud Storage
  • Create associate degree instance with a termination script and install the Cloud work agent
  • Use the API explorer to question  associate degree API request
  • Run sample code that uses the Google API consumer Library
  • Test and build an instrumentality that uses the Cloud SQL APIs
  • Configure fault-tolerant protocol load leveling and make take a look at health checks
  • Manage application preparation mistreatment city and Python templates with Google Cloud preparation Manager
  • Delete Google Cloud Platform comes and resources


Lesson 1 - Google Cloud Platform Projects

  • 1.1 Identify project resources and quotas
  • 1.2 Explain the purpose of Google Cloud Resource Manager and Identity and Access Management
  • 1.3 Lab: Google Cloud Platform Projects
  • 1.4 Use the Cloud Platform Console to create and manage multiple projects
  • 1.5 Use service accounts and permissions to share view-level access between projects

Lesson 2 - Autoscaling

  • 2.1 Explain the use cases for autoscaling and how autoscaling functions
  • 2.2 Identify the purpose of autoscaling policies
  • 2.3 Lab: Google Compute Engine Autoscaler
  • 2.4 Create an instance template and managed instance group
  • 2.5 Configure the managed instance group for autoscaling
  • 2.6 Generate an artificial load to trigger scaling of your cluster

Lesson 3 - Startup and Shutdown Scripts

  • 3.1 Identify the purpose of and use cases for startup and shutdown scripts
  • 3.2 Lab: Google Compute Engine Startup Scripts
  • 3.3 Lab: Google API Client Library

Lesson 4 - Metadata

  • 4.1 Explain the purpose of metadata and identify the use cases for project and instance metadata
  • 4.2 Identify how to set and query metadata
  • 4.3 Lab: Google Compute Engine Metadata
  • 4.4 Add instance and project metadata
  • 4.5 Query instance and project metadata using the Cloud SDK
  • 4.6 Query metadata from inside a Compute Engine instance

Lesson 5 - Google Cloud SQL

  • 5.1 Understand how to create and administer Cloud SQL instances
  • 5.2 Explain how to access Cloud SQL instances from Compute Engine instances
  • 5.3 Lab: Google Cloud SQL
  • 5.4 Create a Cloud SQL instance using the Cloud SDK
  • 5.5 Create a Compute Engine instance from a custom image
  • 5.6 Deploy and test the Guestbook web application

Lesson 6 - Instance Groups

  • 6.1 Identify the purpose of and use cases for instance groups
  • 6.2 Explain the process of creating and using instance groups
  • 6.3 Lab: Google Compute Engine Instance Groups
  • 6.4 Define Jenkins build tasks and run them
  • 6.5 Run the build tasks to create a guestbook image

Lesson 7 - Google Cloud Storage

  • 7.1 Explain the purpose of and use cases for Google Cloud Storage
  • 7.2 Identify methods for accessing Google Cloud Storage buckets and objects
  • 7.3 Explain the security options available for Google Cloud Storage buckets and objects
  • 7.4 Lab: Google Cloud Storage for Backups
  • 7.5 Lab: Google Container Registry

Lesson 8 - Snapshots

  • 8.1 Identify the purpose of and use cases for disk snapshots
  • 8.2 Explain the process of creating a snapshot
  • 8.3 Lab: Google Compute Engine Snapshots
  • 8.4 Prepare and snapshot a Compute Engine instance
  • 8.5 Restore and test the snapshot to a different zone
  • 8.6 Snapshot a data disk without shutting down an instance

Lesson 9 - Authorization

  • 9.1 Explain the purposes of and use cases for Google Compute Engine service accounts
  • 9.2 Identify the types of service account scopes
  • 9.3 Lab: Google Compute Engine Authorization
  • 9.4 Set authorization scopes for a Compute Engine instance
  • 9.5 Reserve the external IP address for the new instance
  • 9.6 Install and configure Jenkins on a Compute Engine instance

Lesson 10 - Disks and Images

  • 10.1 Explain how to create and manage persistent disks
  • 10.2 Identify how to create and manage disk images
  • 10.3 Lab: Google Compute Engine Disks and Images
  • 10.4 Create an instance and install the Java 7 JRE from OpenJDK
  • 10.5 Create a customized Compute Engine image
  • 10.6 Launch and test a Compute Engine instance based on your image

Lesson 11 - Networks

  • 11.1 Explain how to create and manage networks in projects
  • 11.2 Identify how to create and manage firewall rules, routes, and IP addresses
  • 11.3 Lab: Google Compute Engine Networks
  • 11.4 Create a non-default network
  • 11.5 Compare default and non-default networks
  • 11.6 Create firewall-rules with and without tags
  • 11.7 Review network configuration in Google Cloud Monitoring

Lesson 12 - Instances

  • 12.1 Explain how to create and move instances
  • 12.2 Identify how to connect to and manage instances
  • 12.3 Lab: Google Compute Engine Instances and Machine Types
  • 12.4 Create an instance using the Cloud Platform Console
  • 12.5 Configure the Cloud SDK on the Compute Engine instance
  • 12.6 Initialize Cloud Source Repositories using Git

Lesson 13 - Load Balancing

  • 13.1 Explain the differences between network load balancing and HTTP load balancing
  • 13.2 Identify the purpose of and use cases for cross-region and content-based load balancing
  • 13.3 Lab: HTTP/HTTPS Load Balancing
  • 13.4 Lab: Google Cloud Deployment Manager
  • 13.5 Lab: Deleting Cloud Platform Projects and Resources

Exam Certification

How would you turn into a guaranteed Google Certified Professional - Cloud Architect? 

To get the Google Certified Professional - Cloud Architect affirmation, pursue these means: 

  • Stage 1: Attend a formal Google Cloud Platform Online Training (CP100A, CPO200). 
  • Stage 2: Register for the online exam Google Certified Professional - Cloud Architect in the wake of finishing the preparation. 

Frequently Asked Questions

A :No, Exam expense is excluded in the preparation charges.

A :Google Cloud Platform for Systems Operations Professionals (CPO200) Certification is provided by the Google.

A :IgmGuru offers 24/7 support through email, chat, and calls. We tend to even have a passionate team that gives on-demand help through our community forum. What’s a lot of, you may have lifespan access to the community forum, even once completion of your course with us.

A :Our instructing collaborators are an over the top group of material experts here to help you to get ensured in your underlying attempt. They have communication with understudies proactively to affirm the course way is being pursued and help you to advance your learning ability, from classification onboarding to extend tutoring and work help. Training help is open all through business hours.

A :All of our to a great degree qualified mentors are AWS ensured with long stretches of ability instructing and managing inside the cloud space. everything about has had a thorough decision strategy that has profile screening, specialized examination, and an instructing demo before they're ensured to mentor for us. we tend to conjointly ensure that exclusively those mentors with a high graduated class rating remain on our personnel.

A :The devices you'll have to go to preparing are • Windows: Windows XP SP3 or higher • Mac: OSX 10.6 or higher • Internet speed: Preferably 512 Kbps or higher Headset, speakers, and amplifier: You'll require earphones or speakers to hear guidance obviously, and also a mouthpiece to converse with others. You can utilize a headset with an implicit amplifier, or separate speakers and mouthpiece.

A :All of the categories square measure conducted via live online streaming. they're interactive sessions that modify you to raise queries and participate in discussions throughout category time. We do, however, offer recordings of every session you attend for your future reference. categories square measure attended by a world audience to complement your learning expertise.

Google Cloud Platform for Systems Operations Professionals (CPO200) Online Training

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