Name: Google Cloud-Professional Cloud Architect
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Hyderabad offers excellent opportunities for GCP training in Hyderabad. Enrolling in a GCP course in Hyderabad can help you master the core concepts and architecture of Google Cloud Platform. These courses provide comprehensive google cloud platform training in Hyderabad, covering various GCP services such as Compute Engine, App Engine, and Cloud Storage.
You will learn to deploy and manage applications on GCP, and explore advanced topics like big data and machine learning using GCP tools. With hands-on projects and expert instructors, google cloud training in Hyderabad equips you with the skills needed to excel in cloud computing.
Prerequisites:

Basic understanding of cloud computing

Knowledge of networking concepts

Proficiency in a programming language (e.g., Python, Java)

Familiarity with Linux or Windows operating systems

Strong desire to learn cloud technologies

Who Should Take This Course

IT professionals enhancing cloud skills

Developers deploying and managing GCP applications

System administrators transitioning to cloud environments

Data engineers interested in GCP for big data

Students and graduates pursuing cloud computing careers

Business decision-makers exploring cloud adoption strategies

Google Cloud Platform Training Key Objective

Understand GCP Fundamentals: Grasp the core concepts and architecture of Google Cloud Platform.

Service Utilization: Learn to effectively use GCP services like Compute Engine, App Engine, and Cloud Storage.

Deploy Applications: Gain skills in deploying and managing applications on GCP.

Big Data and Machine Learning: Explore GCP's big data and machine learning tools.

Hands-On Projects: Work on real-time projects to apply GCP skills in practical scenarios.

Completing GCP training in Hyderabad can significantly boost your earning potential. Here are some salary expectations based on various roles:

Cloud Engineer: 6,00,000 - 12,00,000 per annum

Cloud Architect: 10,00,000 - 20,00,000 per annum

Data Engineer: 7,00,000 - 15,00,000 per annum

DevOps Engineer: 8,00,000 - 16,00,000 per annum

Cloud Consultant: 9,00,000 - 18,00,000 per annum

Salaries can vary based on experience, company, and specific job roles, but GCP certification generally leads to high-demand positions with competitive pay.

Completing GCP classes in Hyderabad can lead to significant career advancement:

Entry-Level Roles: Begin as a Cloud Engineer or Cloud Support Associate.

Mid-Level Positions: Progress to Cloud Architect, Cloud Developer, or DevOps Engineer.

Advanced Roles: Advance to Senior Cloud Architect, Solutions Architect, or Cloud Infrastructure Engineer.

Specialization: Focus on areas like data engineering, machine learning, or cybersecurity within the GCP ecosystem.

Leadership: Move into roles like Cloud Team Lead, Cloud Project Manager, or IT Manager.

Consulting and Freelancing: Offer specialized GCP consulting services or work as a freelance cloud expert.

Continuous Learning: Stay updated with new GCP services and certifications to maintain competitive edge.

GCP classes in Hyderabad provide the skills and knowledge needed to secure diverse and high-paying cloud computing roles, fostering continuous career growth.

GCP classes are popular in Hyderabad due to many reasons:

Tech Hub: Hyderabad is a major IT and tech hub, home to many global tech companies and startups, increasing the demand for cloud expertise.

High Demand for Cloud Skills: With the rapid adoption of cloud technologies, there's a significant demand for professionals skilled in Google Cloud Platform.

Career Opportunities: GCP certification opens up diverse and lucrative career opportunities in cloud engineering, data science, DevOps, and more.

Comprehensive Training: GCP classes in Hyderabad offer in-depth training, hands-on projects, and industry-relevant curriculum, preparing students for real-world challenges.

Expert Instructors: Courses are often taught by experienced industry professionals, providing valuable insights and practical knowledge.

Networking: Attending GCP classes in Hyderabad provides opportunities to connect with peers, industry experts, and potential employers.

Certification Advantage: GCP certifications are highly regarded and can significantly enhance your resume, making you more competitive in the job market.

These factors make GCP classes a popular choice for those looking to advance their careers in the cloud computing industry.

Cloud Engineer:

Deployment: Deploy and manage GCP resources like Compute Engine, Cloud Storage, and Kubernetes Engine.

Optimization: Optimize cloud infrastructure for performance and cost-efficiency.

Automation: Implement automation using scripts and tools like Terraform and Cloud Deployment Manager.

Cloud Architect:

Design: Design scalable, secure, and cost-effective cloud architectures on GCP.

Migration: Plan and execute migration of on-premises applications to GCP.

Strategy: Develop cloud strategies aligning with business objectives.

DevOps Engineer:

CI/CD Pipelines: Set up and manage continuous integration and continuous deployment (CI/CD) pipelines using GCP tools.

Monitoring: Implement monitoring and logging solutions to ensure system reliability and performance.

Infrastructure as Code (IaC): Use IaC tools to manage and provision cloud infrastructure.

Data Engineer:

Data Pipelines: Build and maintain data pipelines using GCP services like Dataflow, Pub/Sub, and BigQuery.

ETL Processes: Design and implement ETL processes to transform and store data efficiently.

Data Analysis: Support data analysis and machine learning initiatives by provisioning and managing data infrastructure.

Cloud Security Engineer:

Security Policies: Implement and enforce security policies to protect cloud resources.

Compliance: Ensure compliance with industry standards and regulations.

Incident Response: Respond to security incidents and perform forensic analysis.

Cloud Consultant:

Advisory: Provide strategic advice on cloud adoption and optimization.

Implementation: Assist clients in implementing GCP solutions tailored to their needs.

Training: Train client teams on best practices and GCP services.

Machine Learning Engineer:

Model Deployment: Deploy machine learning models on GCP using AI Platform and other tools.

Pipeline Management: Manage ML pipelines and automate training processes.

Research and Development: Stay updated with the latest ML trends and apply them to solve business problems.

Google Cloud professionals in Hyderabad are integral to leveraging GCP for various business solutions, driving innovation, and ensuring efficient cloud operations.

Top Hiring Industries like TCS, Infosys, IBM, Accenture, and Netflix, will hire you as a professional.

IT Services: Design and manage cloud infrastructure for various clients.

Financial Services: Ensure scalable, secure, and compliant cloud systems.

Healthcare: Support secure data management and telehealth services.

Retail and E-commerce: Optimize cloud solutions for website hosting and customer data analysis.

Telecommunications: Manage network infrastructure and customer services on the cloud.

Upon completing your Google Cloud training in Hyderabad, you will receive a globally recognized training certificate. This certification, obtained through GCP training in Hyderabad, validates your skills and expertise in cloud computing. It makes you more eligible for job opportunities in leading industries.
The certificate from the Google Cloud Platform training in Hyderabad significantly enhances your resume, increasing your chances of securing roles in top companies. Completing a GCP course in Hyderabad demonstrates your proficiency and commitment, opening doors to numerous career advancements.

You May Also Read:

GCP Machine Learning Certification

Google Cloud Training

Google Cloud Certification

Google Cloud Training in Delhi

Google Cloud Training in Noida

Google Cloud Training in Gurgaon

Why should you learn GCP Training?

` The average salary of a GCP Training is $128K per annum.

` You will make the progress and will earn more money.

` The course will help to get hired by leading global companies worldwide.

` You will depict increase in jobs for GCP Training.

` You can also increase your package based on your skills and experience.

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Course Duration

30 Hrs.

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Success Ratio

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CURRICULUM & PROJECTS

Google Cloud-Professional Cloud Architect

Designing a solution infrastructure that meets business requirements. Considerations include

Business use cases and product strategy

Cost optimization

Supporting the application design

Integration with external systems

Movement of data

Design decision trade-offs

Build, buy, or modify

Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)

Compliance and observability

Designing a solution infrastructure that meets technical requirements. Considerations include

High availability and failover design

Elasticity of cloud resources

Scalability to meet growth requirements

Performance and latency

Designing network, storage, and compute resources. Considerations include

Integration with on-premises/multi-cloud environments

Cloud-native networking (VPC, peering, firewalls, container networking)

Choosing data processing technologies

Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, New SQL)

Choosing compute resources (e.g., pre-emptible, custom machine type, specialized workload)

Mapping compute needs to platform products

Creating a migration plan (i.e., documents and architectural diagrams). Considerations include

Integrating solution with existing systems

Migrating systems and data to support the solution

Licensing mapping

Network planning

Testing and proof of concept

Dependency management planning

Envisioning future solution improvements. Considerations include

Cloud and technology improvements

Business needs evolution

Evangelism and advocacy

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Configuring network topologies. Considerations include

Extending to on-premises (hybrid networking)

Extending to a multi-cloud environment that may include GCP to GCP communication

Security and data protection

Configuring individual storage systems. Considerations include

Data storage allocation

Data processing/compute provisioning

Security and access management

Network configuration for data transfer and latency

Data retention and data life cycle management

Data growth management

Configuring compute systems. Considerations include

Compute system provisioning

Compute volatility configuration (preemptible vs. standard)

Network configuration for compute nodes

Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)

Container orchestration with Kubernetes

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Designing for security. Considerations include

Identity and access management (IAM)

Resource hierarchy (organizations, folders, projects)

Data security (key management, encryption)

Penetration testing

Separation of duties (SoD)

Security controls (e.g., auditing, VPC Service Controls, organization policy)

Managing customer-managed encryption keys with Cloud KMS

Designing for compliance. Considerations include

Legislation (e.g., health record privacy, childrens privacy, data privacy, and ownership)

Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])

Industry certifications (e.g., SOC 2)

Audits (including logs

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Analyzing and defining technical processes. Considerations include

Software development life cycle plan (SDLC)

Continuous integration / continuous deployment

Troubleshooting / post mortem analysis culture

Testing and validation

Service catalogue and provisioning

Business continuity and disaster recovery

Analyzing and defining business processes. Considerations include:

Stakeholder management (e.g. influencing and facilitation)

Change management

Team assessment / skills readiness

Decision-making process

Customer success management

Cost optimization / resource optimization (capex / opex)

Developing procedures to ensure resilience of solution in production (e.g., chaos engineering)

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Advising development/operation team(s) to ensure successful deployment of the solution. Considerations include

Application development

API best practices

Testing frameworks (load/unit/integration)

Data and system migration tooling

Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq). Considerations include

Local installation

Google Cloud Shell

IAM user- groups

Creating a user and group

Adding a user to the group

Password policy setup for users

Attaching policy to users

Enabling dual /Multifactor authentication to the users

IAM Roles

Creating a role

Launching a EC2 instance using a S3 full access role

Deleting a role

Security Token service

Security on AWS

AWS and IT audits

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Working with the AWS CLI

Launch instance with s3 and ec2 full access

Configure AWS cli client

Create a security group using cli

Create a key pair using cli

Launch an ec2 instance using cli

Stop an ec2 instance using cli

Terminate an ec2 instance using cli

Create an s3 bucket using cli

Upload and download an object from your local machine to s3 through cli

List buckets through cli

Delete buckets through cli

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RDS - An Overview

RDS Read Replica

RDS- Multi AZ failover

RDS snapshots

Create a RDS instance

Connecting to an RDS instance

Creating a RDS snapshots and restoring snapshot

Deleting RDS snapshots

Deploy Web application in Amazon Ec2 (media wiki)

Connect your Media wiki web application with RDS instances securely

Make media wiki available on public URL for user sign up and write knowledge wiki

Deleting RDS instance

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Route 53 - routing options

Simple routing Hands-on lab

weighted routing policy lab

latency based routing lab

Geolocation based routing lab

failover routing lab

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What is VPC A comprehensive introduction

Networking bottlenecks

Understanding VPC configurations

VPC with single public subnet

VPC with public and private subnet

VPC Peering

Access control List

Configuring VPC Instances (Hands on lab by students)

Creating a VPC

Subnets

Internet Gateway

Routing

Configuring a NAT Gateway

Creating security groups

Launching instances in public and private subnets

NAT vs Bastions

VPC Flow Logs

VPC clean up

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Infrastructure as Code using Cloud Formation

Cloud formation Create a new stack

Create and deploy sample template in JSON format

Use existing templates and deploy

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Cloud Watch Introduction

EC2 Status Troubleshooting

Create A Cloud Watch Role

Monitoring EC2 with Custom Metrics

Monitoring EBS

Monitoring RDS

Monitoring ELB

Monitoring Elastic Cache

Centralized Monitoring Servers

Consolidated Billing

Billing & Alerts

Cost optimization

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Projects

Validate your skills and knowledge by working on industry-based projects that includes significant real-time use cases.Gain hands-on expertize in Top IT skills and become industry-ready after completing our project works and assessments.Our projects are perfectly aligned with the modules given in the curriculum and they are picked up based on latest industry standards.Add some meaningful project works in your resume, get noticed by top industries and start earning huge salary lumps right away.

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You will receive a globally recognized training certificate.

Yes, the certification is valid and recognized globally.

It enhances your resume and increases your eligibility for top job roles in leading industries.

Yes, the certification makes you more eligible for job opportunities in top companies.

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Google Professional Cloud Architect (GCP)

Google Professional Cloud Architect Exam enables organizations to leverage Google Cloud technologies. With a thorough understanding of cloud architecture and Google Cloud Platform, this individual can design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

Format

Multiple Choice and Multi-Response Questions

Type

Cloud Architect

Cost

$200 (plus Taxes as applicable)

Time

120 Minutes

No of Questions

60 Questions

Passing Score

70% and above

Training Features

Instructor-led Sessions

The most traditional way to learn with increased visibility,monitoring and control over learners with ease to learn at any time from internet-connected devices.