Best Software Training Institute in Coimbatore No.❶ Software Training Institute in Coimbatore

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GOOGLE CLOUD PLATFORM TRAINING

AtoZ software training institute is the best place for you to learn several valuable software courses to help your career ambitions. The systematic Google Cloud Platform course is designed to give you greater exposure to the world of IT.

The necessity for Google Cloud Platform Training is growing everyday as the largest IT companies are looking for skilled professionals. This job-oriented Google Cloud Platform Certification Course program with AtoZ software training opens up a new career window to help you achieve greatness.

Google Cloud Platform Course Job Assistance

Find your dream job with our right career guidance. You can rest assured that you will be able to find the job in esteemed IT organizations as soon as you are Google Cloud Platform certified with us. we will help you prepare for the relevant jobs and assist you attain it.

Our Google Cloud Platform Trainers

All our trainers have 8+ years of immense working experience in their field of expertise. They will provide individual attention to each of our students to help them get full practical exposure to the subject. You can ask them your doubts whenever and get clear clarification at all times.

Google Cloud Platform Course Features

  • Our customized course structure will give you a broad understanding of Google Cloud Platform and its business applications.

  • Hands-on Google Cloud Platform training with professional instructors. They have years of experience and practical knowledge of the subject.

  • The curriculum is prepared with industry standards. It is well-researched to get you understand the latest advancements in the field and adopt yourselves to its requirements.

  • Providing job opportunities for all our trainees is our primary goal. We arrange mock interviews, provide interview questions, and help them find the right job.

  • The classes will be at your convenience. You can decide on the time of the session!

  • You’ll get to have dedicated sessions with the trainer for additional understanding of the Google Cloud Platform course. We’re reachable anytime.

TRAINING DETAILS

  • starts JAN, 2020
  • duration 1 Month
  • class duration 30 hours
  • skill level all level
  • language english
  • students 400+

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  • Installation of splunk
  • Usage of splunk and features
  • Architecture
  • Licensing option
  • Machine data and challenges

  • Intro to Authentication Technique
  • Data ageing
  • Admin roles and responsibilities
  • Managing the .conf files
  • Learn various data onboarding

  • Via Universal forwarder
  • Virtual Private Cloud
  • Basic search commands
  • Subnetwork
  • Learn Reporting commands
  • Chart,Dedup,Stats
  • Cloud Router
  • Try creating reports
  • Security aspect

  • Introduction
  • SQL Servers
  • Creating SQL database from Azure Portal
  • Configure SQL Server from local SSMS environment
  • DTU (Database Transaction Unit)
  • Monitor and audit tracking
  • Security

  • Learn Identity and access Management
  • Learn about service accounts, Policy, Roles and members
  • Basic IAM APIs
  • Data security
  • Try to Deploy an App with other cluster

  • Learn about compute engine
  • Implement compute options
  • Load balancing
  • Common compute engine action

  • Cloud SQL
  • Cloud Spanner
  • Cloud Datastore
  • Cloud Bigtable
  • Tradeoff of storage options
  • Integration with multi-cloud environment

  • Learn containers and their benefits
  • Usage of kubernetes engine
  • How to choose Containers on compute engine

  • Dataflow service
  • Data transformation with cloud data flow
  • Using Stack driver for Monitering
  • Learn to create cluster
  • Job Automation

  • Automate the Infrastructure, Scripts, Google cloud API
  • API Management
  • Learn to use Google stackdriver
  • App Engine

  • Make a setup on CI/CD
  • Setting up Jenkins on container engine
  • Try to Create and deploy on cluster

  • Different critical metrics and analytics
  • Migrate to GCP
  • Hybrid model
  • How to manage scalability

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