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GCP Architect Training

GCP Architect Training Course Overview

Google Cloud Architect Certification training is designed to meet the industry benchmarks. This course is curated by top industry experts. It gives you a solid foundation to appear for the Google Certified Professional Cloud Architect exam. Google Cloud training will enable you to design, develop, and manage a robust, secure, and highly available cloud-based solution for your organization's needs. This GCP certification course consists of demonstrations, assignments, MCQs, and certification projects to help you master the concepts.

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  • Online and class
    room training

  • Realtime projects

  • Mentoring
    ( Career Progressions )

  • Job Support

  • Content Challange

  • About Trainer

    Working as an IT Architect (Private & Public Cloud) in the world's top MNC with 16 years of IT experience in Datacenter and disaster recovery (DR) design, implementation, and management using private, public & hybrid cloud technologies. Training from more than 8 years in multiple technologies like MS Azure, AWS, VMware, Windows Administration, Active Directory, MS Exchange Server & Office 365 in Hybrid Cloud environments & Storage (SAN & NAS) in Hyderabad.

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DESCRIPTION

Google Cloud Platform (GCP) Architect certification program will empower you with the skills needed to advance your career in cloud architecture and become a certified Google Professional Cloud Architect. The course covers IAM, Networking, cloud storage, and much more.

  • Introduction to Google Cloud Platform
  • Managing GCP
  • Google Cloud Platform : Virtual Networks
  • Security & Identity Fundamentals
  • Compute Services
  • Data Storage Services
  • Architecting with Google Kubernetes Engine
  • Application Development
  • DevOps
  • Automation
  • Big Data and AI Services
  • GCP Architect Cheat Sheet and Case Studies

CURRICULUM

Google Cloud Platform

Architect (Professional)

Pre-requisites/Essentials covered
  • Networking & Network Security
  • Storage
  • Hypervisor (Virtualization)
  • HA&DR/BCP
  • Identity Access Management (IAM)
  • Monitoring
Course Brochure & Syllabus

Pre-Requisites + Google Cloud Admin (Certified Associate Cloud Engineer) + Google Cloud Architect (Certified Associate Cloud Professional)
6 days/week & 2 hours/day

Google Cloud Certified Associate Cloud Engineer

The foundation of Associate Cloud Engineer mastery is with the real-world job role of the cloud engineer. Along with relevant experience, the training in this learning path can help support your preparation. For more information about the exam and to register for, and pass the official Google Cloud certification exam, visit cloud.google.com/certification/cloud-engineer.

  • About trainer
  • Who are you?
  • Course objective
  • Pre-requisites
  • What is cloud computing
  • Benefits of cloud computing
  • History of Cloud computing
  • CapEx Vs OpEx
  • Cloud deployment models & types of cloud services
  • Problems persisted….origin for cloud computing
  • Why cloud computing?
  • Cloud computing learning path
  • Career in/with cloud computing
  • Summary
  • Questions
Module01: Introduction to Google Cloud Platform
  • Welcome to Google Cloud Platform
  • What is cloud computing – definition from google
  • What is google cloud Platform
  • How GCP is different from other competitors
  • Why choose Google Cloud Platform
  • Learning Path – GCP Infra
  • Learning Path – Other in GCP
  • What are we teaching? Cost? Duration? Time? Specialization?
  • Training Vs Realtime
  • Why SR Cloud Engineering?
  • Summary & Questions
Module 02: Google Cloud Platform (GCP Tour)
  • GCP Compute architecture
  • GCP Network
  • GCP Storage
  • GCP Open APIs & Open Source
  • Bigdata in GCP
  • AI & ML in GCP
  • Security design in GCP
  • Environmental responsibility
  • GCP regions, zones & POPs
  • Google & customer-friendly pricing
  • Budgets and Billing
  • Quotas & Limits
  • Summary & Questions
Module 03: Google Cloud Platform – Start working
  • The Google Cloud Platform resource hierarchy
  • Organization, project & resources
  • Folder & Project in GCP
  • IAM & Service Accounts
  • Interaction with GCP
  • Cloud Platform Console, Cloud Shell & SDK, Cloud Console Mobile App, REST-based API
  • Cloud Marketplace & Cloud Launcher
  • GCP & QuickLabs
  • Summary & Questions
Demo/Lab
  • Getting Started with Cloud Launcher
  • Getting started with GCP and Qwiklabs
  • Getting Started with Cloud Marketplace
  • Working with GCP Cloud Console and Cloud Shell
  • Infrastructure Preview
  • Infrastructure Preview
  • Projects
Module 04: Networking in Google Cloud
  • Virtual Private Cloud (VPC) Network
  • Important VPC capabilities
  • Projects, networks, and subnetworks
  • IP addresses
  • Internal and external IP
  • Mapping IP addresses
  • Routes and firewall rules
  • Private Google Access and Cloud NAT
  • Pricing
  • Summary & Questions
Demo/Lab
  • IP addresses
  • VPC Networking
  • Expand a Subnet
  • Internal and external IP
  • Mapping IP addresses
  • Implement Private Google Access and Cloud NAT
  • Routes and firewall rules
Module 05: Advance Networking in Google Cloud – Interconnecting Networks
  • Virtual Private Network (VPN)
  • Cloud Interconnect
  • Peering
  • Choosing a connection
  • Shared VPC and VPC Peering
  • Summary & Questions
Demo/Lab
  • Cloud VPN
  • Virtual Private Networks (VPN)
  • Cloud Interconnect
  • Peering
  • Shared VPC and VPC Peering
Module 06: Google Cloud Platform Storage
  • Introduction to Google Cloud Platform Storage Options
  • Cloud Storage
  • Cloud Storage Features
  • Storage class
  • Cloud Storage interactions
  • Comparing Storage Options in Google Cloud
  • Google Cloud Firestore
  • Cloud Memorystore
  • Summary & Questions
Demo/Lab
  • Cloud Storage
  • Cloud Storage interactions
Module 07: Compute in Google Cloud Platform (Virtual Machines)
  • Compute Engine
  • VM access and lifecycle
  • Compute options
  • Compute pricing
  • Special compute configurations
  • Images
  • Disk options
  • Common Compute Engine actions
  • Summary & Questions
Demo/Lab
  • Getting Started with Compute Engine
  • Creating virtual machines
  • VM access and lifecycle
  • Images
  • Disk options
  • Common Compute Engine actions
  • Working with Virtual Machines
Module 08: Load Balancing and Autoscaling
  • Managed instance groups
  • Autoscaling
  • Health checks
  • SSL proxy load balancing
  • TCP proxy load balancing
  • Network load balancing
  • Internal load balancing
  • Choosing a load balancer
  • Summary & Questions
Demo/Lab
  • Configuring an HTTP Load Balancer
  • Configuring an HTTP Load Balancer with Autoscaling
  • Configuring an Internal Load Balancer
  • Choosing a load balancer
Module 09: IAM – Identity Access Management
  • Cloud IAM
  • Organization
  • Roles
  • Members
  • Service Accounts
  • Cloud IAM best practices
  • Summary & Questions
Demo/Lab
  • Organization
  • Roles
  • Custom roles
  • Users/Members
  • Service Accounts
Module 10: Database – in GCP
  • Google Cloud Bigtable
  • Google Cloud SQL
  • Google Cloud Spanner
  • Google Cloud Datastore
  • Google Cloud Firestore
  • Google Cloud Memorystore
  • Summary & Questions
Demo/Lab
  • Implementing Cloud SQL
Module 11: Applications in the Google Cloud
  • Introduction to App Engine
  • Google App Engine Standard Environment
  • Google App Engine Flexible Environment
  • Google Cloud Endpoints and Apigee Edge
  • Summary & Questions
Demo/Lab
  • Getting Started with App Engine
  • Deploying Apps to Google Cloud
Module 12: Resource Monitoring in GCP
  • Resource Monitoring Overview
  • Google Cloud's Operations Suite
  • Monitoring
  • Logging
  • Error Reporting
  • Tracing
  • Debugging
  • Summary & Questions
Demo/Lab
  • Google Cloud's Operations Suite
  • Resource Monitoring
  • Error Reporting and Debugging
Module 13: Resource & Cost Management
  • Resource Management Overview
  • Cloud Resource Manager
  • Quotas
  • Labels and names
  • Billing
  • Summary & Questions
Demo/Lab
  • Billing Administration
  • Examining Billing Data with BigQuery
Module 14: Containers & Kubernetes in Google Cloud
  • CloudBuild
  • Containers and Container Images
  • Kubernetes, and Kubernetes Engine
  • Hybrid and Multi-Cloud Computing (Anthos)
  • Summary & Questions
Demo/Lab
  • Working with Cloud Build
  • Lab solution
  • Deploying Google Kubernetes Engine
Module 15: Google Cloud Automation & DevOps
  • Infrastructure as code
  • Deployment Manager
  • Automating the Infrastructure of Networks Using Deployment Manager or Terraform
  • Automating the Deployment of Infrastructure Using Deployment Manager
  • Automating the Infrastructure of networks using Deployment Manager
  • Automating the Deployment of Infrastructure Using Terraform
  • Launch on GCP Marketplace
  • Summary & Questions
Demo/Lab
  • Automating the Infrastructure of Networks Using Deployment Manager
  • Automating the Deployment of Infrastructure Using Deployment Manager
  • Automating the Deployment of Infrastructure Using Terraform
  • Automating the Infrastructure of networks using Terraform
  • Launch on GCP Marketplace
  • Building a DevOps Pipeline
  • Requirements, Analysis, and Design
  • Activity Intro: Analyzing your case study
  • Activity Review: Analyzing your case study
  • KPIs and SLIs
  • SLOs and SLAs
  • Activity Intro: Defining SLIs and SLOs
  • Activity Review: Defining SLIs and SLOs
  • Summary & Questions
  • Designing Google Cloud Networks
  • Designing Google Cloud Load Balancers
  • Defining network characteristics
  • Connecting Networks
  • Diagramming your network
  • Summary & Questions
  • Key Storage Characteristics
  • Defining storage characteristics
  • Choosing Google Cloud Storage and Data Solutions
  • Choosing Google Cloud storage and data services
  • Summary & Questions
  • Security Concepts
  • Securing People
  • Securing Machine Access
  • Network Security
  • Encryption
  • Modeling Secure Google Cloud Services
  • Summary & Questions
  • Introduction to Big Data and Machine Learning
  • Google Cloud Big Data Platform
  • Cloud Dataflow
  • BigQuery
  • Cloud Pub/Sub and Cloud Datalab
  • Google Cloud Machine Learning Platform
  • Machine learning APIs
  • Summary & Questions
  • BigQuery
  • Cloud Dataflow
  • Cloud Dataprep
  • Cloud Dataproc
  • Summary & Questions
  • Managing Versions
  • Cost Planning
  • Monitoring Dashboards
  • Cost estimating and planning
  • Monitoring Applications in Google Cloud
  • Summary & Questions
  • Migrate for Anthos introduction
  • Migrate for Anthos Architecture
  • Migration Path
  • Migrate for Anthos Installation
  • Summary & Questions
Demo/Lab
  • Cost estimating and planning
  • Monitoring Applications in Google Cloud

SCHEDULED BATCHES

01
October 		Weekdays ( 8 Weeks ) Weekdays Class Room 7AM - 9AM
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