Google Cloud Platform Training by Experts

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Our Training Process

Google Cloud Platform - Syllabus, Fees & Duration

Module 1: Overview Cloud & Google Cloud Platform

  • Cloud overview & Characteristics
  • Cloud Service Model (IAAS, PAAS, SAAS)
  • Cloud Deployment Model (Public, Private, Hybrid)
  • Google Cloud Plateform (GCP) Infrastructure Overview
  • Create GCP Account & Console Overview
  • Organizations, Folder, Project, Resource & Billing
  • Google Cloud Architecture Framework

Module 2: Virtual Machines

  • Compute Engine (VM): Types & Options
  • VM Instance Lifecycle & Common Operations
  • Machine Types & Compute Options (VCPU And Memory) In Compute Engine
  • Images & Snapshots
  • Disk Types: Local SSD, Persistent & Balanced

Module 3: Virtual Networks

  • Virtual Private Cloud (VPC) & Types, Subnets
  • Ip Addresses (Public/Private), Nic
  • Routes & Route Table
  • Firewalls
  • Network Topology Options

Module 4: Cloud IAM

  • IAM Basic: Authentication, Authorization & MFA
  • Roles, Members, Service Account, Policy
  • Resource Hierarchy
  • Cloud IAM Best Practices

Module 5: Data Storage Services


  • Google Cloud Storage Overview & Structure
  • Storage Classes, Versioning & Lifecycle Policies
  • Cloud SQL For Database (MySQL, Postgresql and SQL Server)
  • Cloud Spanner: Fully Managed Relational DB
  • Cloud Datastore
  • Cloud Bigtable: NOSQL Big Data Service

Module 6: App Engine, Functions, Cloud Run

  • App Engine: Serverless Web Apps
  • App Engine Environments: Standard Vs Flexible
  • Cloud Functions: Events & Triggers
  • Cloud Run: Serverless Containers

Module 7: Resource Management

  • Cloud Resource Manager Overview
  • Quotas, Labels, Names & Billing

Module 8: Resource Monitoring

  • Stackdriver: Cloud Monitoring & Logging
  • Logging, Error Reporting, Tracing, Debugging

Module 9: Interconnecting Networks

  • Virtual Private Network (VPN) & Its Types
  • VPC Peering (Public & Private)
  • Cloud DNS, Cloud Interconnect & Cloud Router

Module 10: Load Balancing & Autoscaling

  • Load Balancing Types: Internal, External, Global & Regional
  • Https, Network, SSL & TCP Load Balancers
  • Cross-Region and Content-Based Load Balancing
  • Autoscaling Policies & Configuration

Module 11: Google Kubernetes Engine

  • Microservices, Containers, Docker & Kubernetes
  • GCP Kubernetes Engine (GKE), Understand the Relationship Between Kubernetes
    and Google Kubernetes Engine (GKE)
  • Kubernetes Architecture : Clusters, Node, Node Pools, Pods, Services
  • Deploy & Manage Workloads on GKE

Module 12: Maintenance & Monitoring

  • Capacity Planning and Cost Optimization
  • Deployment, Monitoring and Alerting, And Incident Response
  • Monitoring and Alerting

Module 13: Cloud Migrations

  • Understanding Migration Used Cases
  • Understanding Migration Tools and Process

Download Syllabus - Google Cloud Platform
This syllabus is not final and can be customized as per needs/updates
 
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Google Cloud Platform Jobs in Mangaluru

Enjoy the demand

Find jobs related to Google Cloud Platform in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Mangaluru, chennai and europe countries. You can find many jobs for freshers related to the job positions in Mangaluru.

  • Google Cloud Engineer
  • Product Manager -GCP service
  • GCP Engineer
  • Cloud Computing Trainee
  • Engagement Manager
  • Customer Engineer
  • Hybrid Cloud Specialist
  • SAP Sales Lead
  • Cloud Cybersecurity Engineer
  • Cloud Devops Architect

Google Cloud Platform Internship/Course Details

Google Cloud Platform internship jobs in Mangaluru
Google Cloud Platform . To induce an in-depth grasp of configuring SDK, deploying GSuit, IAM APIs, establishing custom rules, penetration testing, and security controls through our real-time projects and hands-on use cases. Users can simply demand that they be charged for the computing time they use, and they will be eligible for lucrative discount rates for long-running workloads. Software developers, Cloud directors, and another enterprise IT professionals can access this platform via the public internet or a dedicated network connection. Google Cloud provides serverless analytics, allowing customers to concentrate solely on analytics. For many years, our lecturers have been working on the Google cloud platform and related technologies. It offers a comprehensive set of IAAS, PAAS, and CAAS services. To induce an in-depth grasp of configuring SDK, situating GSuit, IAM APIs, establishing custom rules, penetration testing, and security controls through our real-time projects and hands-on use cases. Google Cloud supports Ruby or Node. js, Python, Java, Net, and Go programming.

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