Google Cloud Certification Training - Google Professional Cloud Architect course detail

Description

The Google Cloud Professional Architect training program provides the skills you need to advance your career in cloud architecture and provides a pathway to earn the industry-recognized Google Cloud Architect certification. We start by looking at the fundamentals of Google Cloud Platform service like storage, database, App Engine, Compute Engine, networking, BigQuery, Cloud Firestore, and security services, and give you the chance to build solutions in live Google Cloud Platform environments. this platform validates your skills of developing, designing, administrating, and managing solutions using Google Cloud technologies.

What will you learn
  • What will you learn in this Google Cloud Platform training?

    1. Introduction to fundamentals of Google Cloud 2. Managing and provisioning Google Cloud solutions 3. Implementing the Google Cloud architecture 4. Various GCP products and services 5. Analyzing data by running queries on GCP 6. Developing and deploying Google Cloud solutions 7. Managing GCP services using app, CLI and console 8. Machine Learning services in GCP

  • Who should take up this Google Certification Training?

    IT Professionals, Software Developers, Administrators, those looking to deploy SaaS, PaaS and IaaS solutions, Systems and Network Administrators and Project Managers.

  • Why should you go for Google Cloud training?

    Google Cloud is among the top three cloud computing services in the world today. Thanks to the sheer dominance of Google in the Internet space, the cloud services offered by Google are going to expand in leaps and bounds in the near future. All this is going to create a huge number of job opportunities in the Google Cloud domain. RCS Technologies’s Google Cloud Architect program has been created to give you a complete hands-on experience of working in the Google Cloud domain, thus helping you land in the best jobs in the cloud domain.


Key Features
  • 24 Hrs Instructor Led Training
  • 24 Hrs Self-paced Videos
  • 48 Hrs Project work & Exercises
  • Certification and Job Assistance
  • Flexible Schedule
  • Lifetime Free Upgrade 24 x 7 Lifetime Support & Access

Lessons

  • 8 Lessons
  • 1.1 Understanding the fundamentals of Google Cloud Platform

    1.2 The Google Global infrastructure

    1.3 Products for storage, compute, networking, Machine Learning, and more

    1.4 Availability zones

    1.5 Different projects running on the GCP infrastructure, including Google projects

  • 2.1 Introduction to Google Cloud services

    2.2 Managing Google services using command-line tools, app, and console

    2.3 Installing and configuring SDK

    2.4 Deploying Cloud Shell for GCP environment management

    2.5 Deploying Gsutil

  • 3.1 Understanding Google computing services

    3.2 Creating and managing virtual machines in Google Cloud

    3.3 Launching VMs on-demand using Google Compute Engine

    3.4 Choosing the right computing solutions based on the workload like memory or CPU

    3.5 Important actions with Compute Engine

    3.6 Balancing the load

  • 4.1 Various storage services offered with Google Cloud

    4.2 The process of storing and retrieving data

    4.3 Rich content management

    4.4 Hosting a website

    4.5 Choosing the right storage options

    4.6 Integrating on-premises with the cloud storage environment

    4.7 Nearline and Coldline storage

    4.8 Cloud Datastore

    4.9 Managing cloud storage using Gsutil

     

  • 5.1 Deploying Google Cloud for developing applications and for debugging and monitoring purposes

    5.2 Choosing the right data storage for application data

    5.3 Automating infrastructure

    5.4 Managing the API

    5.5 Cloud source

    5.6 Functions and special APIs

    5.7 Implementing and configuring Cloud Launcher and Deployment Manager

    5.8 Application deployment using Cloud Engine

     

  • 6.1 Introduction to Google networking

    6.2 Setting up the Google network

    6.3 Connecting various Google Cloud Platform resources

    6.4 Isolation using firewalls and network policies

    6.5 Creating and managing of Virtual Private Network

    6.6 Working with cloud routers and interconnecting networks

     

  • 7.1 Different security and identity and access management (IAM) services

    7.2 Various roles in IAM

    7.3 Creating and managing Google resources permissions

    7.4 IAM APIs

    7.5 The creation of custom roles

    7.6 Sharing resources and isolation

    7.7 Deploying penetration testing, auditing, and security controls

     

  • 8.1 Understanding how to migrate to Google Cloud

    8.2 Various criteria to be considered

    8.3 Choosing the right options as per the specific needs

    8.4 Managing a hybrid cloud model

    8.5 Complete migration from the on-premises model to the cloud

    8.6 Choosing an automation framework for resource provisioning

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