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Google Cloud Platform Architect Certification (Self-Paced Learning)

> As of Dec 2017, the average pay for a Cloud Architect is $127500 annually

> GCP is the third largest cloud player in terms of total market share.

> Goldman Sachs’ Heather Bellini believes GCP has the technical capabilities to increase market share from 3% in CY16 to 13% in CY20.

USD 375 USD 399

Course Overview

Google Cloud Certification Training - Cloud Architect is designed to help you pass the Professional Cloud Architect - Google Cloud Certification. With this course, you will get an in-depth understanding of all the GCP Services in Networking , Storage , Databases, Containers, Virtual Machines, App Engine, Security etc.

Key Highlights

  • 36 Hours of Online Self-Paced learning
  • Real-life Case Studies
  • Assignments
  • lifetime access to Learning Management System (LMS)
  • 24 x 7 Expert Support
  • Certification
  • Community forum for all our Learners
  • Industry based Projects
  • No exam Included

What You'll Learn

  • Understand Google Cloud Platform concepts and terminologies
  • Understand GCP products and services
  • Learn methods to develop, implement, and deploy solutions
  • Distinguish between features of similar or related products and technologies
  • Learn to work with the Compute Engine, Cloud Storage, Cloud SQL and Big Query GCP services
  • Manage GCP environments using three different methods (Console, App, Command-Line)

Career Benefits

  • Used in large to small IT companies
  • Opens up better opportunities
  • Higher paycheck

Who Can Attend

  • Professionals who want to start their career in Google cloud platform
  • Professionals who want to appear for Google Cloud Certification exam – Cloud Architect
  • AWS Solution Architect or Microsoft Azure Architect who wants to understand Google Cloud Platform
  • Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, migrate application environments and infrastructure with the Google Cloud Platform

Exam Formats

No Exam included.

Course Delivery

This course is available in the following formats:

  • Self-Paced Learning Duration: 36 Hrs

Related Courses

Course Syllabus


Google Cloud Platform Introduction

Goal : In this module, you will learn about Google's Global Infrastructure. You will also learn about Regions, Zones and Projects that make up the GCP environment.

 

Objective: Upon completing this module, you should be able to understand:

  • What is Cloud computing
  • Overview of different cloud computing services
  • Understand GCP environment
  • Different Compute, Storage, Big Data and AI resources which GCP offers
  • Google Network Service Offerings
  • Setup GCP account

 

Topics:

  • Google Cloud Platform (GCP) Infrastructure
  • Compute resources
  • Networking Services
  • Storage and Database offering
  • Bigdata and AI services
  • Basics of GCP Project
  • Introduction to Primitive role

 

Hands On:

  • Setup GCP account

Managing GCP Services

Goal: In this module, you will learn how to manage GCP using console and Command Line tool – Cloud Shell, Gcloud, Gsutil. Also, you will learn how to install and configure Cloud SDK.

 

Objective: Upon completing this module, you should be able to understand:

  • How to manage GCP using GCP console
  • How to use Cloud Shell to manage GCP environment
  • How to use Gcloud tool to manage GCP environment
  • How to use Gsutil tool to manage cloud storage
  • Install/configure cloud SDK

 

Topics:

  • Managing GCP environment with GCP console
  • Control GCP environment using CLI
  • GCP environment management using Cloud Shell
  • GCP environment management using Gcloud
  • GCP environment management using Gsutil
  • Install and configure cloud SDK

 

Hands On:

  • Add components to use the Gcloud tool to manage GCP resources
  • Using Gsutil tool do file operations

GCP Networking Services

Goal: In this module, you will learn about GCP networking concept and how to setup network topology, how to connect different GCP resources with each other and isolating them using network policies and firewall.

 

Objective: Upon completing this module, you should be able to understand:

  • How to use VPC
  • Create/Manage VPN
  • How to use cloud router
  • Create/Modify Firewall policies
  • Work with Routes
  • Configure and Deploy Endpoints

 

Topics:

  • Cloud Virtual Network
  • Virtual Private Network
  • Virtual Private Cloud
  • Proxies / Gateway and Endpoints
  • Network/Subnetwork
  • DNS Resolution
  • Firewalls and Routes
  • Cloud Router
  • Interconnecting networks
  • Security aspect

 

Hands On:

  • Create virtual private network with multiple subnets and apply firewall rules

GCP IAM and Security Services

Goal: In this module, you will learn Identity and Access management with several management tools that GCP offers.

 

Objective: Upon completing this module, you should be able to understand:

  • Security aspect of GCP
  • Understand Identity and Access Management
  • IAM Role – Primitive, Predefined, Custom
  • IAM Policy and Policy Hierarchy
  • Best Practices for IAM role, policy and service account
  • Create and manage permissions for Google Cloud Platform resources

 

Topics:

  • Understand Identity and Access Management (IAM)
  • Understanding Organizations, Roles, Members, Service accounts, Policy
  • Policy Hierarchy
  • Understanding different role and permission
  • Creating custom role
  • Basic IAM APIs
  • Best Practices
  • Key Management Systems
  • Data security
  • Resource Sharing and Isolation
  • Auditing
  • Penetration testing
  • Security controls

 

Hands On:

  • Define various roles and policy of GCP environment

GCP Compute Services

Goal: In this module, you will learn how to create/manage Virtual machines and work with Compute engine.

 

Objective: Upon completing this module, you should be able to understand:

  • Create Virtual Machine and VM instances
  • Working with VM

 

Topics:

  • Understand Compute Engine
  • Understand and implement Compute options (vCPU and Memory) specific to workload
  • Persistent disk – HDD, SSD
  • Load Balancing
  • Common Compute Engine actions

 

Hands On:

  • Create Custom Machine Types optimized for specific needs
  • Creating VM instance using CLI
  • Working with Virtual Machine – Attaching persistent disk to VM

GCP Storage & Database Services

Goal: In this module, you will learn different data storage services offered by GCP.

 

Objective: Upon completing this module, you should be able to understand:

  • How to store data
  • How to retrieve data
  • Archiving cold data
  • Managing rich content
  • How to host your website

 

Topics:

  • Understand Cloud Storage – Nearline, Coldline
  • Cloud SQL
  • Cloud Spanner, Cloud Datastore
  • Cloud Bigtable
  • Pros and cons of storage option and how to choose
  • Understanding Billing aspect of storage options
  • Tradeoff of storage options
  • Integration with on premises/multi-cloud environment

 

Hands On:

  • Working with Cloud Storage Buckets
  • Working with VM And Storing Results on Cloud Storage
  • How to use Gsutil tool to manage cloud storage
  • Host your website

Containers

Goal: In this module, you will learn how to Deploy, manage, and scale containerized applications on Kubernetes.

 

Objective: Upon completing this module, you should be able to understand:

  • Why containers are used
  • How to deploy application using Kubernetes

 

Topics:

  • Understand Containers and their benefits
  • Kubernetes Engine, Container Registry
  • How to use Kubernetes Load Balancing
  • How to choose Kubernetes Engine, App Engine, or Containers on Compute Engine

 

Hands On:

  • Creating A Kubernetes Cluster

Cloud Dataflow for Data Processing

Goal: In this module, you will learn how to develop and execute a variety of data processing patterns using Dataflow processing and how to manage cluster using Dataproc service.

 

Objective: Upon completing this module, you should be able to understand:

  • Build dataflow pipeline
  • How to create a maven project with Dataflow SDK
  • How to create and execute streaming pipeline using Dataflow template
  • How to create pipeline on Beam
  • Testing pipeline
  • Create/Manage/Delete cluster using Dataproc service
  • How to run a job on cluster
  • Using APIs to automate jobs

 

Topics:

  • Dataflow services
  • Stream and Batch processing
  • Apache Beam SDK
  • Monitoring using Stackdriver
  • Data transformation with Cloud Data flow
  • Working with Dataproc
  • Creating Cluster
  • Managing cluster
  • Automation of jobs

GCP APIs & Development Services

Goal: In this module, you will learn how to use GCP for application development, deployment, debugging and monitoring.

 

Objective: Upon completing this module, you should be able to understand:

  • Best practices for application development
  • Choosing the appropriate data storage option for application data
  • Debug, trace, and monitor applications

 

Topics:

  • Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
  • Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs
  • App Engine
  • How to use Google Stackdriver : Overview, Integration, Monitoring, Logging, Error reporting, Tracing

 

Hands On:

  • Implement & Configure Deployment Manager, Cloud Launcher
  • Deploying Applications Using App Engine

GCP DevOps Services

Goal: In this module, you will learn how to use GCP DevOps service for CI/CD using Jenkins and how to do debugging using Stackdriver in DevOps environment.

 

Objective: Upon completing this module, you should be able to understand:

  • How to create/configure Jenkins service on GCP
  • Jenkins deployment

 

Topics:

  • Setup CI/CD
  • Setting up Jenkins on Container engine
  • Deploy application on Jenkins
  • Create deployment pipeline in Jenkins
  • Create and Deploy on cluster
  • Deploy development and production environment
  • Analysis & Troubleshooting

 

Hands on:

  • Set up a continuous delivery pipeline using Jenkins and deploy an application to Kubernetes.

Designing & Implementing GCP Migration

Goal: In this module, you will learn how to check different metrics and take decision to migrate to GCP.

 

Objective: Upon completing this module, you should be able to understand:

  • Different critical KPIs, Metrics, Analytics
  • How to take decision to migrate to GCP
  • How to choose from different options as per specific need
  • How to manage scalability
  • Hybrid model
  • How to move completely from on-prem to GCP

 

Topics:

  • Collect and Analyze metrics
  • Evaluate and choose an automation framework for provisioning resources in cloud
  • Design strategy
  • Create Migration Plan

 

Hands on:

  • Move local data to GCP

GCP Cloud Architect Exam Case Studies

Goal: In this module, you will learn the official case studies provided by Google for GCP Architect exam, and practice on these case studies with sample exam problem statements

 

Objective: Upon completing this module, you should be able to understand:

  • Google provided case studies
  • How to solve problems as described in these case studies

 

Topics:

  • Understand JencoMart case study
  • Understand Mountkirk Games case study
  • Understand Dress4Win case study
  • Understand TerramEarth case study

 

Hands on:

  • Solve Sample Problem Statements Based On these Case Studies

FAQ's


What if I miss a class?

You will never miss a lecture at Upskill Yourself! You can choose either of the two options:

  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch.

Can I attend a demo session before enrollment?

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

Why learn Google Cloud Platform?

Google Cloud Platform is one of the leaders in the cloud space. Learning Google Cloud Platform can help open up opportunities for your career. It is highly secure and can reduce an organisation time-to-insight with it’s server-less big data analytics solutions. This is why many companies are adopting GCP for their cloud needs.

How to get GCP certified?

Once you have grasped the basic concepts, now is the time to take up our Google Cloud Platform Certification Training to master GCP cloud computing in and out. Our course is in-line with the certification exam requirements offered by Google.  After the course completes and you are done working on the live project, you are now ready to fill the exam form, pick a date and clear the certification!

Mike Williams, Direct Consultant