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Google Cloud Platform Fundamentals for AWS Professionals

Learn Google Cloud Platform ( GCP ) quickly using your AWS knowledge with Agilitics

Get hands-on with compute, networking, storage, and database services on Google Cloud Platform

    NOTE: This accelerated one day course with hands-on labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four fundamentals pillars: networking, compute, storage, and database.

    1:1 Coaching

    24*7 Support

    Hands Labs on Google Cloud Platform

    High Success Rate

    Globally Renowned Trainer

    Real-time code analysis and feedback

    Course Description

    This course is designed especially for AWS professionals to provide them with knowledge about the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. It is designed for AWS system administrators, solutions architects, and SysOps administrators who are familiar with AWS features and setup and want to gain experience configuring Google Cloud products immediately.

    This course uses lectures, demos, and hands-on labs to show you the similarities and differences between the two platforms and teach you about some basic tasks on Google Cloud.

    Learning Objectives

    This course teaches participants the following skills:

    • Configure networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more on Google Cloud.
    • Identify GCP counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM, and more.
    • Configure accounts, billing, projects
    • Manage and monitor applications using operation suite
    • Explain feature and pricing model differences between GCP and AWS
    • Locate documentation and training.

    Schedule

    Enroll your course with
    $133.75
    08 May, 2021
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekend
    Enroll your course with
    $133.75
    19 Jun, 2021
    09:30AM – 05:30PM
    Trainer
    Ajit Kumar
    Singapore
    Weekend

    Certification Curriculum

    The course includes presentations, demonstrations, and hands-on labs.

    Module 1
    Introducing Google Cloud
    • Explain the advantages of Google Cloud.
    • 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).
    Module 2
    Getting Started with Google Cloud
    • Identify the purpose of projects on Google Cloud Platform.
    • Understand how AWS’s resource hierarchy differs from Google Cloud.
    • Understand the purpose of and use cases for Identity and Access Management.
    • Understand how AWS IAM differs from Google Cloud IAM.
    • List the methods of interacting with Google Cloud Platform.
    • Launch a solution using Cloud Marketplace.
    Module 3
    Virtual Machines in the Cloud
    • Identify the purpose and use cases for Google Compute Engine.
    • Understand the basics of networking in Google Cloud Platform.
    • Understand how Amazon VPC differs from Google VPC.
    • Understand the similarities and differences between Amazon EC2 and Google Compute Engine.
    • Understand how typical approaches to load-balancing in Google Cloud differ from those in AWS.
    • Deploy applications using Google Compute Engine.
    Module 4
    Storage in the Cloud
    • Understand the purpose of and use cases for: Cloud Storage, Cloud SQL, Cloud Bigtable and Cloud Datastore.
    • Understand how Amazon S3 and Amazon Glacier compare to Cloud Storage.
    • Compare Google Cloud’s managed database services with Amazon RDS and Amazon Aurora.
    • Learn how to choose among the various storage options on Google Cloud Platform.
    • Load data from Cloud Storage into BigQuery.
    Module 5
    Containers in the Cloud
    • Define the concept of a container and identify uses for containers.
    • Identify the purpose of and use cases for Google Container Engine and Kubernetes.
    • Understand how Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) differ from GKE.
    • Provision of a Kubernetes cluster using Kubernetes Engine.
    • Deploy and manage Docker containers using kubectl.
    Module 6
    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 how App Engine differs from Amazon Elastic Beanstalk.
    • Understand the purpose of and use cases for Google Cloud Endpoints.
    Module 7
    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 how Cloud Deployment Manager differs from AWS CloudFormation.
    • Understand the purpose of integrated monitoring, alerting, and debugging.
    • Understand how Google Monitoring differs from Amazon CloudWatch and AWS CloudTrail.
    • Create a Deployment Manager deployment.
    • Update a Deployment Manager deployment.
    • View the load on a VM instance using Google Monitoring.
    Module 8
    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.
    • Understand how Google Cloud BigQuery differs from Amazon Redshift.
    • Understand how Google Cloud Pub/Sub differs from Amazon SQS.
    • Understand how Google Cloud’s machine-learning APIs differ from AWS.
    • Load data into BigQuery from Cloud Storage.
    • Perform queries using BigQuery to gain insight into data.
    Module 9
    Summary and Review
    • Review the products that make up Google Cloud and remember how to choose among them.
    • Understand next steps for training and certification.
    • Understand, at a high level, the process of migrating from AWS to Google Cloud.

    Prerequisites

    To get the most out of this course, participants should have basic proficiency with networking technologies like subnets, firewalls and routing. Students are also expected to have experience with AWS, Amazon VPC, Amazon EC2 instances, Amazon IAM and Load Balancers. . Familiarity with Amazon S3 and AWS database technologies is recommended.

    Download Brochure

    Join Google Cloud Platform Fundamentals for AWS Professionals Training and gain the knowledge and skills needed to land a mid-level job in GCP.

    Download Brochure

    Certification Assessment

    When you complete this course, 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. You can find more information on individual Professional Certificates from Google Cloud Certification where it applies.

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    Our clients praise us for our great results, personable service, expert knowledge, and on-time delivery. Here are what just a few of them had to say:

    Training FAQ's

    Is this training conducted as an online/ virtual course?

    As a response to the COVID-19, we have moved our classes online. Our Live Virtual format delivers the same benefits as our face-to-face training: expert instruction, hands-on labs and exercises, peer-to-peer collaboration, and high-quality instructional material.

    If I cancel the enrollment, will I get a refund?

    Cancellation requests received within 24 hours of registration would be offered a full refund (minus payment gateway charges), please reach out to our support team through drop a refund request to enquiry@agilitics.sg. Visit our page for more details about Cancellation & Refund Policy.

    What Payment Options Are Available?

    The process of enrolling for this classroom training is simple. The payment can be made through different options by using a debit/credit card which includes MasterCard, Visa Card, American Express or through PayPal. Acknowledgment will be issued automatically via email to the candidates once payment is done.

    What are the modes of payment available for payment of accreditation fees?

    Payment can be made via credit card, debit card, UPI, and internet banking.

    Have more doubts?

    Please send in an email to enquiry@agilitics.sg, and we will answer any queries you may have!

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