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Google Cloud Certification Training - Cloud Architect

Google Cloud Certification Training - Cloud Architect

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Edureka'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.

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Why should you take Google Cloud Architect course ?

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.

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Instructor-led Google Cloud Architect live online classes

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18 ^th Jan

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Timings : 09:30 PM - 12:30 AM (EST)

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23 ^rd Feb

Sat & Sun (6 Weeks) Weekend Batch

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Curriculum

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

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Course Description

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.

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.

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

Who should go for this Google Cloud Certification Training?

Edureka'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

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.

Certification

Edureka’s GCP Architect Certificate Holders work at 1000s of companies like

Your Name

GCP Architect

with Grade X

Sample ID NA Signature

The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate

Reviews

5000 Total number of reviews

4.57 Aggregate review score

80% Course completion rate

Testimonials
Video Reviews

STILL HAVE QUESTIONS. CALL US 1833 833 0587

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?

This Course contains 12 Case Studies that will enable you to reinforce the concepts that you learn as part of the Class. This Course also contains Certification Project that enriches your knowledge. Details are as below:-

"Alex is an application architect working at MyPetClinic.com. He is running this application in one of the data centers. Off late he is having a lot of issues with respect to hardware cost as he had to do a multitude of replacements, and he has also observed under-utilization of resources. He also had problems in handling high loads on certain days of the month.

Hence, as a solution Alex wants to implement GCP to deploy his application so that he can reduce the cost, scale automatically, bring more availability for his applications. He also wants to configure his application such that he can it be available on Disaster situation and recover automatically from a server/service crash.

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."

Training Features

Instructor-led Sessions

36 Hours of Online Live Instructor-Led Classes. Weekend Class: 12 sessions of 3 hours each.

Real-life Case Studies

Live project based on any of the selected use cases, involving the implementation of the various Google Cloud concepts.

Assignments

Each class will be followed by practical assignments which will aggregate to minimum 20 hours.

Lifetime Access

You get lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.

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

Towards the end of the course, you will be working on a project. Edureka certifies you as a Google Cloud expert based on the project.

Forum

We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.

FAQ's

What if I miss a class?

You will never miss a lecture at Edureka! 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.

Will I get placement assistance?

To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.

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.

Who are the instructors?

All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.