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Google Cloud Fundamentals for AWS Professionals

Google Cloud Fundamentals for AWS Professionals

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Recorded content
Of Total 10 Hrs.
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Duration
3 Months (50 hours)
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LIVE sessions
4 Workshops
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Hands-On Learning
With Practice Modules
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Certificate
With License

Overview

This Google Cloud Fundamentals for AWS Professionals training course teaches AWS professionals how to configure Google Cloud products immediately. This GCP course covers the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database.

Objective

  • Identify Google Cloud counterparts for AWS IaaS, AWS PaaS, AWS SQL, AWS Blob Storage, AWS Application Insights, and AWS Data Lake
  • Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more
  • Manage and monitor applications
  • Explain feature and pricing model differences
Join Next Batch Starting on September 10th

Outline

  • • Advantages of Google Cloud
  • • Components of Google's network infrastructure, including Points of presence, data centers, regions, and zones
  • • The difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS)
  • • Projects on Google Cloud Platform
  • • How AWS’s resource hierarchy differs from Google Cloud’s
  • • Use cases for Identity and Access Management
  • • How AWS IAM differs from Google Cloud IAM
  • • Methods of interacting with Google Cloud Platform
  • • Launch a solution using Cloud Marketplace

  • • Use cases for Google Compute Engine
  • • Networking in Google Cloud Platform
  • • How Amazon VPC differs from Google VPC
  • • Similarities and differences between Amazon EC2 and Google Compute Engine
  • • Approaches to load-balancing in Google
  • • Cloud differs from those in AWS
  • • Deploy applications using Google Compute Engine

  • • Use cases for Cloud Storage, Cloud SQL, Cloud Bigtable and Cloud Datastore
  • • How Amazon S3 and Amazon Glacier compare to Cloud Storage
  • • Compare Google Cloud’s managed database services with Amazon RDS and Amazon Aurora
  • • Storage options on Google Cloud Platform
  • • Load data from Cloud Storage into BigQuery
  • • Perform a query on the data in BigQuery

  • • Define the concept of a container and identify uses for containers
  • • Use cases for Google Container Engine and Kubernetes
  • • How Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) differ from GKE
  • • Provision a Kubernetes cluster using Kubernetes Engine
  • • Deploy and manage Docker containers using kubectl

  • • Use cases for Google App Engine
  • • Contrast the App Engine Standard environment with the App Engine Flexible environment
  • • How App Engine differs from Amazon Elastic Beanstalk
  • • Use cases for Google Cloud Endpoints

  • • Options for software developers to host their source code
  • • Template-based creation and management of resources
  • • How Cloud Deployment Manager differs from AWS CloudFormation
  • • Integrated monitoring, alerting, and debugging
  • • 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.

  • Generative AI fundamentals
    • • Use cases for the products and services in the Google Cloud big data and machine learning platforms
    • • How Google Cloud BigQuery differs from AWS Data Lake
    • • How Google Cloud Pub/Sub differs from AWS Event Hubs and Service Bus
    • • How Google Cloud’s machine-learning APIs differ from AWS's
    • • Load data into BigQuery from Cloud Storage
    • • Queries using BigQuery to gain insight into data

  • • Review the products that make up Google Cloud and remember how to choose among them
  • • Next steps for training and certification
  • • The process of migrating from AWS to Google Cloud

Training Materials

All GCP training students receive comprehensive courseware.

Software Requirements

Students must have a modern web browser (ideally Chrome) and Internet access.

Why Online Bootcamps

Develop skills for real career growth

Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills

Learn by working on real-world problems

Capstone projects involving real world data sets with virtual labs for hands-on learning

Learn from experts active in their field, not out-of-touch trainers

Leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.

Structured guidance ensuring learning never stops

24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

FAQs

    SkillsMatrix JobAssist program is an India specific offering in Partnership with IIMJobs.com to help you land your dream job. With the Job assist program we will offer extended support for the certified learners who are looking for a job switch or starting with their first job. Upon successful completion of the Master’s Program, you will be eligible to apply for this AWS Cloud Architect course and your details will be shared with IIMJobs. As part of this AWS Cloud Architect training IIMJobs will offer the following exclusive programs:

  • • IIMJobs Pro-Membership of 6 months for free
  • • Resume building assistance to create a powerful resume
  • • Spotlight on IIMJobs for highlighting your profile to recruiters

    The iimjobs.com Pro-Membership offers learners exclusive features that aren’t available to free members.

  • • Job Insights : Access to “Insights” helps you compare your application against all other applications received for a particular job
  • • Recruiter Action Status : The ability to view the status of job applications whenever a recruiter takes any action
  • • Follow-up : Candidates get access to one follow-up per week to a job they have applied to. If not used will be carried forward onto the next week.
  • • Chat feature : Initiate chat with the recruiter who has shortlisted your application
  • • Improved visibility : A star icon against your application (to improve visibility)

    To participate in the JobAssist Program you need to:

  • • Be a graduate (Engineering or Equivalent)
  • • Complete our Master Program successfully and earn a Master certificate upon completion

  • No, the JobAssist Program is designed to help you in finding your dream job. It will maximize your potential and chances of landing a successful job. The final selection is always dependent on the recruiter.

  • Any graduate who has successfully completed our Master Programs is eligible to participate in the JobAssist Program. 1+ years of experience is however recommended.

  • No, the JobAssist Program is a supplementary offering that comes along with the Master Programs. It will make your chances high to get hired by the top companies.