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Master GCP concepts and start a career in Google Platform by completing our GCP course in Hyderabad.
4.2/5
4.8/5
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4.5/5Course Duration
30 Hrs.Live Project
2 ProjectCertification Pass
GuaranteedTraining Format
Live Online /Self-Paced/ClassroomWatch Live Classes
Speciality
250+
Professionals Trained
3+
Batches every month
20+
Countries & Counting
100+
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.
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CURRICULUM & PROJECTS
Google Professional Cloud Architect Training Program
- 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
- High availability and failover design
- Elasticity of cloud resources
- Scalability to meet growth requirements
- Performance and latency
- 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
- 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
- Cloud and technology improvements
- Business needs evolution
- Evangelism and advocacy
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- Extending to on-premises (hybrid networking)
- Extending to a multi-cloud environment that may include GCP to GCP communication
- Security and data protection
- 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
- Compute system provisioning
- Compute volatility configuration (preemptible vs. standard)
- Network configuration for compute nodes
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- 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
- 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)
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- 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
- 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)
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- Application development
- API best practices
- Testing frameworks (load/unit/integration)
- Data and system migration tooling
- Local installation
- Google Cloud Shell
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Course Duration
30 Hrs.
Weekday1 Hr/Day
Weekend2 Hr/Day
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