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GOOGLE CLOUD PROFESSIONAL (GCP)

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Google Cloud Professional (GCP) refers to a set of certifications offered by Google Cloud that validate an individual’s expertise and skills in various aspects of cloud computing and Google Cloud services. These certifications are designed for IT professionals, cloud architects, and developers who want to demonstrate their knowledge and proficiency in working with Google Cloud Platform (GCP).

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Live Online Training

Highly practical oriented training
Installation of Software On your System
24/7 Email and Phone Support
100% Placement Assistance until you get placed
Global Certification Preparation
Trainer Student Interactive Portal
Assignments and Projects Guided by Mentors
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program

Live Classroom Training

Weekend / Weekdays / Morning / Evening Batches
80:20 Practical and Theory Ratio
Real-life Case Studies
Easy Coverup if you missed any sessions
PSI | Kryterion | Redhat Test Centers
Life Time Video Classroom Access ( coming soon )
Resume Preparations and Mock Interviews
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program

Self Test Training

Self Paced Learning
Learn 300+ Courses at Your Own Time
50000+ Satisfied Learners
Course Completion Certificate
Practical Labs Available
Mentor Support Available
Doubt Clearing Session Available
Attend Our Virtual Job Fair
10% Discounted Global Certification
Course completion certificate and Global Certifications are part of our all Master Program

Live Online Training

Highly practical oriented training
Installation of Software On your System
24/7 Email and Phone Support
100% Placement Assistance until you get placed
Global Certification Preparation
Trainer Student Interactive Portal
Assignments and Projects Guided by Mentors
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program

Live Classroom Training

Weekend / Weekdays / Morning / Evening Batches
80:20 Practical and Theory Ratio
Real-life Case Studies
Easy Coverup if you missed any sessions
PSI | Kryterion | Redhat Test Centers
Life Time Video Classroom Access ( coming soon )
Resume Preparations and Mock Interviews
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program

Self Test Training

300+ Technologies - Learn at your Convenience
4500+ High Quality Videos
Self Paced Training By Experts
Self Paced Hands-On Practical LABS
Cloud Sand Boxes
Do Projects and Assignments with Live LABS
100+ Exam Simulators & Discounted Vouchers
Live Mentor Support - By 10+ Years Experts
Course completion certificate and Global Certifications are part of our all Master Program

Course Benefits

When considering Google Cloud Platform (GCP) compared to other major cloud providers like Amazon Web Services (AWS) and Microsoft Azure, there are several reasons why someone might choose GCP:
1. Data Analytics and Machine Learning: GCP is known for its strong data analytics and machine learning capabilities. Services like BigQuery for data warehousing, Dataflow for stream and batch processing, and AI Platform for machine learning make GCP a preferred choice for organizations with advanced analytics and AI needs.
2. Global Network Infrastructure: GCP has an extensive global network infrastructure, with data centers located in key regions around the world. This infrastructure provides low-latency access to GCP services and enables businesses to deploy applications closer to their users for improved performance and compliance.
3. Containerization and Kubernetes: GCP has a strong focus on containerization and Kubernetes orchestration. Google Kubernetes Engine (GKE) is a managed Kubernetes service that simplifies the deployment, management, and scaling of containerized applications, making GCP a popular choice for container-based workloads.
4. Open Source and Collaboration: Google has a strong commitment to open source technology and collaboration. GCP supports a wide range of open source tools and frameworks, and Google actively contributes to projects like Kubernetes, TensorFlow, and Istio, fostering a vibrant ecosystem of innovation and collaboration.
5. Networking and Security: GCP offers robust networking and security features, including global load balancing, virtual private cloud (VPC) networking, and identity and access management (IAM) controls. Google’s expertise in running large-scale, secure infrastructure translates into strong security and reliability for GCP customers.
6. Sustainability and Environmental Responsibility: Google has made significant investments in renewable energy and sustainability initiatives. GCP customers can benefit from Google’s commitment to carbon neutrality and use of renewable energy to power its data centers, aligning with their own sustainability goals.
7. Cost Management: GCP provides flexible pricing options and cost management tools to help businesses optimize their cloud spending. Services like Compute Engine Preemptible VMs and sustained use discounts can help reduce costs, while tools like Cost Explorer and Budgets provide visibility and control over cloud spending.
While GCP offers several unique advantages, it’s important to consider factors such as your organization’s specific requirements, existing technology stack, and familiarity with cloud platforms when choosing between GCP, AWS, Azure, or other cloud providers. Each platform has its strengths and weaknesses, and the best choice will depend on your individual needs and priorities

Designations

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Why Redhat Linux?

Industry
Recognition

Red Hat certifications are widely recognized in the IT industry. Holding a Red Hat certification demonstrates to employers that you have the skills and knowledge needed to effectively work with Red Hat Linux systems.

High Demand
for Linux Skills

Linux is a dominant operating system in the server market, particularly in enterprise environments. Many organizations, including tech giants, financial institutions, and government agencies, rely on Linux for their infrastructure. As a result, there is a high demand for professionals with Linux skills, including Red Hat Linux expertise.

Specialized
Knowledge

Red Hat Linux is a popular distribution used in enterprise environments due to its stability, security, and support offerings. By gaining expertise in Red Hat Linux through a certification course, you position yourself as a specialist in this specific distribution, which can make you more attractive to employers who use or plan to use Red Hat Linux.

Job
Opportunities

Holding a Red Hat certification opens up various job opportunities in roles such as Linux system administrator, DevOps engineer, cloud engineer, network engineer, and more. Many job postings in these fields specifically mention Red Hat certifications as desired or required qualifications.

Salary Potential

Professionals with Red Hat certifications often command higher salaries compared to their non-certified counterparts. Employers value certified individuals for their proven skills and expertise, leading to potentially higher earning potential.

Career
Advancement

Red Hat certifications can help you advance your career by providing a clear path for skill development and progression. As you gain more advanced certifications, you become eligible for more senior roles and responsibilities within organizations.

Continuous Learning
and Growth

Pursuing a Red Hat certification involves gaining practical experience and knowledge in Linux system administration, networking, security, and other related areas. This continuous learning process not only prepares you for the certification exams but also equips you with valuable skills that are relevant across various IT roles.

Global Research

Red Hat certifications are recognized globally, allowing you to pursue job opportunities not only in your local market but also in other regions where Red Hat technologies are prevalent. Overall, obtaining a Red Hat Linux certification demonstrates your commitment to professional development, enhances your credibility in the job market, and opens doors to rewarding career opportunities in the field of Linux and IT infrastructure management.

About your GOOGLE CLOUD PROFESSIONAL (GCP)

GOOGLE CLOUD PROFESSIONAL (GCP) Skills Covered

  • Basic Cloud Navigation

  • Automation and Scripting

  • Resource Provisioning

  • Basic Networking

  • Monitoring and Logging

  • Troubleshooting and Performance Optimization

  • Security and Compliance

  • Cost Optimization

  • Networking Configuration

  • Data Management

  • User and Identity Management

  • Advanced Monitoring and Alerting

  • Advanced Identity and Access Management

  • Compute Resource Management

  • Disaster Recovery and High Availability

Curriculum Designed by Experts

GOOGLE CLOUD PROFESSIONAL (GCP) Course Syllabus

1. Designing and planning a cloud solution architecture

1.1 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, modify, or deprecate
  • Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
  • Compliance and observability

1.2 Designing a solution infrastructure that meets technical requirements

Considerations include :

  • High availability and failover design
  • Elasticity of cloud resources with respect to quotas and limits
  • Scalability to meet growth requirements
  • Performance and latency

1.3 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, databases)
  • Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)
  • Mapping compute needs to platform products

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

Considerations include :

  • Integrating solutions with existing systems
  • Migrating systems and data to support the solution
  • Software license mapping
  • Network planning
  • Testing and proofs of concept
  • Dependency management planning

1.5 Envisioning future solution improvements

Considerations include :

  • Cloud and technology improvements
  • Evolution of business needs
  • Evangelism and advocacy
2. Managing and provisioning a solution infrastructure

2.1 Configuring network topologies

Considerations include :

  • Extending to on-premises environments (hybrid networking)
  • Extending to a multi-cloud environment that may include Google Cloud to Google Cloud communication
  • Security protection (e.g. intrusion protection, access control, firewalls)

2.2 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 planning

2.3 Configuring compute systems

Considerations include :

  • Compute resource provisioning
  • Compute volatility configuration (preemptible vs. standard)
  • Network configuration for compute resources (Google Compute Engine, Google Kubernetes Engine, server less networking)
  • Infrastructure orchestration, resource configuration, and patch management
  • Container orchestration
3. Designing for security and compliance

3.1 Designing for security

Considerations include :

  • Identity and access management (IAM)
  • Resource hierarchy (organizations, folders, projects)
  • Data security (key management, encryption, secret management)
  • Separation of duties (SoD)
  • Security controls (e.g., auditing, VPC Service Controls, context aware access, organization policy)
  • Managing customer-managed encryption keys with Cloud Key Management Service
  • Remote access

3.2 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)
4. Analyzing and optimizing technical and business processes

4.1 Analyzing and defining technical processes

Considerations include :

  • Software development life cycle (SDLC)
  • Continuous integration / continuous deployment
  • Troubleshooting / root cause analysis best practices
  • Testing and validation of software and infrastructure
  • Service catalog and provisioning
  • Business continuity and disaster recovery

4.2 Analyzing and defining business processes

Considerations include :

  • Stakeholder management (e.g. influencing and facilitation)
  • Change management
  • Team assessment / skills readiness
  • Decision-making processes
  • Customer success management
  • Cost optimization / resource optimization (capex / opex)

4.3 Developing procedures to ensure reliability of solutions in production (e.g., chaos engineering, penetration testing)

5. Managing implementation

5.1 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 and management tooling

5.2 Interacting with Google Cloud programmatically

Considerations include :

  • Google Cloud Shell
  • Google Cloud SDK (gcloud, gsutil and bq)
  • Cloud Emulators (e.g. Cloud Bigtable, Datastore, Spanner, Pub/Sub, Firestore)
6. Ensuring solution and operations reliability

6.1Monitoring/logging/profiling/alerting solution

6.2 Deployment and release management

6.3 Assisting with the support of deployed solutions

6.4 Evaluating quality control measures

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    Global Certification

    (GCP) offers a certification program that validates your expertise in various GCP products and services, including GCP administration. The primary certification for GCP administration is: Associate Cloud Engineer Certification

    The Associate Cloud Engineer certification assesses your ability to deploy, monitor, and maintain Google Cloud solutions. It covers a wide range of topics related to GCP administration, including deploying and managing virtual machines, configuring network settings, managing storage and databases, and implementing security controls.

    While there are no formal prerequisites for the Associate Cloud Engineer certification, Google recommends having 6 months to 1 year of hands-on experience with GCP and familiarity with common cloud concepts.

    • Exam Name: Associate Cloud Engineer
    • Exam Code: ACE
    • Exam Duration: 2 hours
    • Format: Multiple choice and multiple select
    • Passing Score: 70%
    • Exam Fee: $125 USD

    The Associate Cloud Engineer certification is valid for two years from the date you pass the exam. To maintain your certification, you must recertify every two years by passing the current version of the Associate Cloud Engineer exam.

    Google Cloud provides official exam guides, sample questions, hands-on labs, and online training courses to help you prepare for the Associate Cloud Engineer certification exam. Additionally, you can find study materials and practice exams from third-party training providers.

    While there are currently no professional-level certifications specifically for GCP administration, Google Cloud offers several professional-level certifications in areas such as cloud architecture, data engineering, machine learning, and security. These certifications may include topics relevant to GCP administration and can further validate your expertise in specific areas of GCP.

    • Professional Cloud Architect
    • Professional Data Engineer
    • Professional Machine Learning Engineer
    • Professional DevOps Engineer
    • Professional Security Engineer

    The professional-level certifications typically require more extensive experience and expertise in GCP compared to the Associate Cloud Engineer certification.

    • Familiarize yourself with the topics and objectives outlined in the official exam guide for the Associate Cloud Engineer certification.
    • Gain hands-on experience with GCP by working on projects, completing labs, and experimenting with different GCP services.
    • Take advantage of Google Cloud’s official training resources, including online courses, documentation, and practice exams.
    • Join online communities, forums, and study groups to connect with other GCP professionals and share knowledge and tips for exam preparation.
    • Review case studies and real-world scenarios to understand how GCP is used in practical settings and how to apply your knowledge effectively.

    GOOGLE CLOUD PROFESSIONAL (GCP) Course Projects in Seattle

    Migration to Google Cloud Platform (GCP)

    Plan and execute the migration of on-premises infrastructure or existing workloads to GCP. Assess application compatibility, dependencies, and migration strategies. Implement lift-and-shift, re-platforming, or refactoring approaches as necessary.

    High Availability and Disaster Recovery (HA/DR) Setup

    Design and implement high availability and disaster recovery architectures for critical workloads on GCP.Configure regional redundancy, failover mechanisms, and automated backups for data protection and business continuity.

    Network Optimization and Security Hardening

    Review and optimize network configurations for performance, security, and compliance.Implement network segmentation, access controls, and encryption to protect data and resources.Configure Virtual Private Cloud (VPC) peering, VPNs, and firewall rules for secure connectivity.

    Cost Optimization and Budget Management

    Analyze GCP usage and spending patterns to identify cost-saving opportunities.Implement cost optimization strategies such as rightsizing, reserved instances, and usage quotas.Set up budget alerts, cost allocation tags, and reporting dashboards for effective cost management.