Google Cloud Certification Training

Google Cloud Certification Training

OL Tech Edu's 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.

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

Goldman Sachs’ believes GCP to increase market share from 3% in CY16 to 13% in CY20.

Be future ready. Start learning
Structure your learning and get a certificate to prove it.
Start Learning

Google Cloud UpComing Batches

Nov-22 - Jan-03

Weekend
SOLD OUT

Timings: 07:00 AM To 10:00 AM (IST)

350.00     Enroll Now

Nov-15 - Dec-27

Weekday
SOLD OUT

Timings: 20:30 PM To 23:30 PM (IST)

350.00     Enroll Now

Dec-04 - Jan-15

Weekend
FILLING FAST

Timings: 07:00 AM To 10:00 AM (IST)

350.00     Enroll Now

Dec-11 - Jan-22

Weekday
FILLING FAST

Timings: 20:30 PM To 23:30 PM (IST)

350.00     Enroll Now

Dec-18 - Jan-29

Weekend

Timings: 07:00 AM To 10:00 AM (IST)

350.00     Enroll Now

Dec-25 - Feb-05

Weekday

Timings: 20:30 PM To 23:30 PM (IST)

350.00     Enroll Now
Be future ready. Start learning
Structure your learning and get a certificate to prove it.
Start Learning

Course Curriculum

Google Cloud Certification Training - Cloud Architect

SELF PACED

OL Tech Edu's 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.

  • WEEK 5-6
  • 10 Modules
  • 6 Hours
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

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.

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.

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.


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.


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.


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.


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.


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.


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.


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.


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.

Program Syllabus

Curriculum

You can also view the program syllabus by downloading this program Curriculum.

Projects

What are the system requirements for our Google Cloud Certification Training?

You just need a system with good internet connectivity.

How will I execute the practicals?

For all the labs, you will create and use GCP’s free tier account as part of the first Module of this Google Cloud Certification Training course.

Which Case-Studies will be a part of this Google Cloud Certification Course?

Alex is an application architect working at MyPetClinic.com. He is running this application in one of the data centers. In addition, he wants to make his deployment and upgrades automatic. Finally, he needs to monitor the resource usage, receive alerts and generate reports on resource consumption.

Course Description


About The Course
About the Course. This course will help you pass the Google Cloud Certification Exam for Cloud Architect. The topics mentioned are strictly in line with the official exam guide provided by Google. The course starts with basics of Cloud Computing and as the course progresses you will understand the GCP core infrastructure, how to manage GCP services such as GCP compute services, GCP database services, GCP security services, GCP networking services, GCP IAM etc. This course will also cover how to use command line tools to import data into google cloud storage and run query for data analysis.

Objectives Of Our Online PySpark Training Course
Why Learn Google Cloud Platform? Google Cloud Certifications are the world’s most prestigious certifications. Google Cloud Platform is ranked as the world’s third largest cloud provider. The world-renowned services such as Google Search and Youtube are also hosted on the Google Cloud, which means applications which will be hosted on GCP will share the same world class infrastructure used by other Google products.

Go For Online Spark Training
What are the objectives of our Google Cloud Certification Course? After completing this Google Cloud Certification training, you should be able to:
  • 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).
  • Develop knowledge of solution patterns -- methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities.
  • Understand basics of Big Data and Machine Learning services of GCP.

Learning With Our PySpark Certification Training
Who should go for this Google Cloud Certification Training? OL Tech Edu's Google Cloud training is designed for the IT professionals who want to pursue a career in Cloud Computing and become Google Cloud Infrastructure Solutions Expert. This Google Cloud course is the best fit for:
  • 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.

Who Should Go For Our PySpark Training Course
What are the prerequisites for Google Cloud Certification Training ? Google Cloud Certification Training requires no specific pre-requisites. Any professional who understands IT Service Management can join this course. There is no programming knowledge needed and no prior Cloud experience required for this course.

Course Certification

OL Tech Edu’s Certificate Holders work at top 500s of companies like

certificate

Features

Explore step by step paths to get started on your journey to Jobs of Today and Tomorrow.

Instructor-led Sessions

30 Hours of Online Live Instructor-Led Classes.
Weekend Class : 10 sessions of 3 hours each.

Real Life Case Studies

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various real life solutions / services.

Assignments

Assignments

Each class will be followed by practical assignments.

24 x 7 Expert Support

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.

Certification

Certification

Towards the end of the course, OL Tech Edu certifies you for the course you had enrolled for based on the project you submit.

Course FAQ's

Enroll, Learn, Grow, Repeat! Get ready to achieve your learning goals with OL Tech Edu View All Courses

© 2015 - 2021 OL Tech Edu. All Rights Reserved.
Designed, Developed & Powered by MNJ SOFTWARE

The website is best experienced on the following version (or higher) of Chrome 31, Firefox 26, Safari 6 and Internet Explorer 9 browsers