Master GCP concepts and start a career in Google Platform by completing our GCP course in Hyderabad.
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30 Hrs.Live Project
2 ProjectCertification Pass
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Speciality
250+
Professionals Trained
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Batches every month
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Countries & Counting
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Corporate Served- 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:
- Who Should Take This Course
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
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
GCP Training in Hyderabad
- 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:
- Salaries can vary based on experience, company, and specific job roles, but GCP certification generally leads to high-demand positions with competitive pay.
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
- Completing GCP classes in Hyderabad can lead to significant career advancement:
- GCP classes in Hyderabad provide the skills and knowledge needed to secure diverse and high-paying cloud computing roles, fostering continuous career growth.
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 are popular in Hyderabad due to many reasons:
- These factors make GCP classes a popular choice for those looking to advance their careers in the cloud computing industry.
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.
- Cloud Engineer:
- Cloud Architect:
- DevOps Engineer:
- Data Engineer:
- Cloud Security Engineer:
- Cloud Consultant:
- Machine Learning Engineer:
- Google Cloud professionals in Hyderabad are integral to leveraging GCP for various business solutions, driving innovation, and ensuring efficient cloud operations.
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.
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.
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 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.
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.
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.
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.
- 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.
Why should you learn GCP Training?
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Course Duration
30 Hrs.Flexible Batches For You
21-Dec-2024*
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21-Dec-2024*
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16-Dec-2024*
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18-Dec-2024*
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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
- 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
- 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, children’s 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)
- 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)
- 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
- Monitoring/logging/profiling/alerting solution
- Deployment and release management
- Assisting with the support of solutions in operation
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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.
Multiple Choice and Multi-Response Questions
Cloud Architect
$200 (plus Taxes as applicable)
120 Minutes
60 Questions
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.
Real-life Case Studies
Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.
Assignment
Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.
Lifetime Access
Get Unlimited access of the course throughout the life providing the freedom to learn at your own pace.
24 x 7 Expert Support
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Certification
Each certification associated with the program is affiliated with the top universities providing edge to gain epitome in the course.
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