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Architecting with Google Compute Engine Training
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Drive Team Excellence with Architecting with Google Compute Engine Corporate Training

Empower your teams with expert-led on-site, off-site, and virtual Architecting with Google Compute Engine Training through Edstellar, a premier corporate training provider for organizations globally. Designed to meet your specific training needs, this group training program ensures your team is primed to drive your business goals. Help your employees build lasting capabilities that translate into real performance gains.

Google Compute Engine is a cloud computing service offered by Google that provides virtual machines on demand for hosting applications and scaling workloads. Architecting with Google Compute Engine training course is designed to teach professionals how to develop and manage scalable, secure, and highly available cloud infrastructure using Google Compute Engine. The course is essential for organizations to leverage cloud technology for business innovation and growth.

Edstellar's instructor-led Architecting with Google Compute Engine training course offers virtual/onsite training modes conducted by industry experts with extensive domain knowledge. The training is designed to be highly practical, with a curriculum that can be customized to meet the team's specific needs. Edstellar combines theoretical knowledge with hands-on practice, ensuring professionals gain the skills to effectively architect solutions using Google Compute Engine.

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Key Skills Employees Gain from instructor-led Architecting with Google Compute Engine Training

Architecting with Google Compute Engine skills corporate training will enable teams to effectively apply their learnings at work.

  • Cloud Computing
    Cloud Computing is the delivery of computing services over the internet, enabling scalable resources and flexibility. This skill is important for IT roles, enhancing efficiency and innovation.
  • Virtual Machine Management
    Virtual Machine Management involves creating, configuring, and maintaining virtual machines. This skill is important for IT professionals, as it ensures efficient resource utilization and system reliability.
  • Scalability Planning
    Scalability Planning is the ability to design systems that can grow efficiently. this skill is important for roles in it and project management, ensuring resources meet demand.
  • Networking Configuration
    Networking Configuration involves setting up and managing network devices and protocols to ensure seamless communication. This skill is important for IT roles, as it ensures reliable connectivity and security.
  • Security Implementation
    Security Implementation involves deploying measures to protect systems and data from threats. This skill is important for IT roles to ensure data integrity and compliance.
  • Resource Optimization
    Resource Optimization is the strategic allocation and management of resources to maximize efficiency and minimize waste. This skill is important for roles in project management, operations, and supply chain, as it enhances productivity and reduces costs.

Key Learning Outcomes of Architecting with Google Compute Engine Training Workshop for Employees

Upon completing Edstellar’s Architecting with Google Compute Engine workshop, employees will gain valuable, job-relevant insights and develop the confidence to apply their learning effectively in the professional environment.

  • Apply advanced configurations and optimizations in Google Compute Engine instances to enhance performance and meet specific workload requirements efficiently
  • Analyze resource utilization and leverage Compute Engine features effectively to scale infrastructure dynamically, ensuring seamless scalability 
  • Implement robust security measures and access controls in Compute Engine environments to safeguard sensitive data and uphold compliance standards effectively
  • Utilize Compute Engine's networking capabilities to design resilient and high-performance architectures, ensuring reliable connectivity and seamless data transfer
  • Explore integration possibilities with other Google Cloud services and third-party tools to create comprehensive and cohesive solutions, maximizing the value of Google Compute Engine in diverse enterprise environments

Key Benefits of the Architecting with Google Compute Engine Group Training

Attending our Architecting with Google Compute Engine group training classes provides your team with a powerful opportunity to build skills, boost confidence, and develop a deeper understanding of the concepts that matter most. The collaborative learning environment fosters knowledge sharing and enables employees to translate insights into actionable work outcomes.

  • Learn advanced techniques for optimizing resource allocation and workload performance within Google Compute Engine environments, enhancing operational efficiency 
  • Equip professionals with practical skills to design, deploy, and manage scalable and resilient infrastructure solutions using Google Compute Engine, empowering seamless scalability and reliability for diverse workloads
  • Develop expertise in implementing vital security measures and access controls within Google Compute Engine instances, ensuring data confidentiality and compliance with industry standards
  • Explore advanced networking configurations and integration options within Google Compute Engine, enabling the creation of dynamic and interconnected cloud architectures to support evolving business needs
  • Learn to leverage automation and scripting capabilities to streamline infrastructure management tasks and enhance productivity within Google Compute Engine environments

Topics and Outline of Architecting with Google Compute Engine Training

Our virtual and on-premise Architecting with Google Compute Engine training curriculum is structured into focused modules developed by industry experts. This training for organizations provides an interactive learning experience that addresses the evolving demands of the workplace, making it both relevant and practical.

  1. Ways of interacting with Google Cloud
    • Web console
    • Command Line Interface (CLI)
    • API
  2. Using the Cloud Console and Cloud Shell
    • Accessing Cloud Console
    • Navigating the Cloud Console interface
    • Command line operations in Cloud Shell
  3. Creating Cloud storage buckets
    • Creating buckets using Cloud Console
    • Creating buckets using gsutil command line tool
  4. Using the Google Cloud Marketplace to deploy solutions
    • Browsing solutions in the Marketplace
    • Deploying solutions from the Marketplace
  1. List of VPC objects in Google Cloud
    • Subnets
    • Routes
    • Firewall rules
  2. Differentiating between the different types of VPC networks
    • Default VPC
    • Custom VPC
    • Shared VPC
  3. Implementing VPC networks and firewall rules
    • Creating VPC networks
    • Configuring firewall rules
  4. Implementing Private Google Access and Cloud NAT
    • Enabling Private Google Access
    • Configuring Cloud NAT
  1. CPU and memory options for virtual machines
    • Selecting CPU types and sizes
    • Choosing memory configurations
  2. Disk options for virtual machines
    • Persistent disks
    • Local SSDs
  3. VM pricing and discounts
    • Pricing models
    • Discounts and sustained use discounts
  4. Compute engine to create and customize VM instances
    • Creating VM instances
    • Customizing VM configurations
  1. Cloud IAM resource hierarchy
    • Advantages        
  2. Different types of IAM roles
    • Primitive roles
    • Predefined roles
    • Custom roles
  3. Different types of IAM members
    • User accounts
    • Service accounts
    • Google Groups
  4. Implement access control for resources using Cloud IAM
    • Assigning roles to members
    • Setting up IAM conditions
  1. Differentiating between cloud storage, cloud SQL, cloud Spanner, cloud Firestore, and cloud Bigtable
    • Unique features of each storage service
  2. Choosing a data storage service based on the requirements
    • Evaluating factors such as scalability, performance, and cost-effectiveness
  3. Implementing data storage services
    • Configuring and deploying cloud storage buckets, cloud SQL databases, Cloud Spanner instances, Cloud Firestore databases, and Cloud Bigtable clusters
  1. Cloud resource manager hierarchy
    • Organization of resources in Google Cloud
  2. Recognizing how quotas protect Google Cloud customers
    • Monitoring and managing resource usage
  3. Using labels to organize resources
    • Assigning labels to resources for better management and organization
  4. The behavior of budget alerts in Google Cloud
    • Setting up budget alerts to monitor resource spending
  5. Examining billing data with BigQuery
    • Analyzing billing data to gain insights into resource usage and costs
  1. Services for monitoring, logging, error reporting, tracing, and debugging
    • Monitoring services available in Google Cloud
  2. Creating charts, alerts, and uptime checks for resources with Cloud Monitoring
    • Configuring monitoring charts, setting up alerts, and defining uptime checks
  3. Using Cloud Debugger to identify and fix errors
    • Leveraging Cloud Debugger to diagnose and troubleshoot application errors in real-time
  1. Google Cloud interconnect and peering services are available to connect the infrastructure to Google Cloud
    • Options for connecting on-premises networks to Google Cloud
  2. Determining which Google Cloud interconnect or peering service to use in specific circumstances
    • Assessing network requirements and selecting the appropriate interconnect or peering service
  3. Creating and configuring VPN gateways
    • Setting up Virtual Private Network (VPN) gateways for secure communication between networks
  4. When to use Shared VPC and when to use VPC Network Peering
    • Understanding use cases for shared VPC and VPC network peering in multi-project environments
  1. Various load balancing services
    • Exploring different types of load balancing services available in Google Cloud
  2. Determining which Google Cloud load balancer to use in specific circumstances
    • Evaluating load balancing requirements and selecting the appropriate load balancer
  3. Autoscaling behavior
    • How autoscaling automatically adjusts resources based on demand
  4. Configuring load balancers and autoscaling
    • Setting up load balancers and configuring autoscaling policies for applications
  1. Automating the deployment of Google Cloud services using Deployment Manager or Terraform
    • Infrastructure as code concepts
    • Using Deployment Manager for automated deployments
    • Using Terraform for automated deployments
  2. Outlining the Google Cloud marketplace
    • Exploring solutions available in the marketplace
    • Deployment options
  1. Managed services for data processing in Google Cloud
    • Exploring fully managed data processing services such as BigQuery, Dataflow, Dataproc, and Pub/Sub

Who Can Take the Architecting with Google Compute Engine Training Course

The Architecting with Google Compute Engine training program can also be taken by professionals at various levels in the organization.

  • Cloud Engineers
  • Solution Architects
  • System Architects
  • Infrastructure Engineers
  • DevOps Engineers
  • Software Engineers
  • Network Engineers
  • IT Administrators
  • System Administrators
  • Security Engineers
  • Back-end Developers
  • Managers

Prerequisites for Architecting with Google Compute Engine Training

Professionals with basic proficiency in command-line tools and Linux operating system environments and familiarity with the Google Cloud Fundamentals can take the Architecting with Google Compute Engine training course.

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Corporate Group Training Delivery Modes
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At Edstellar, we understand the importance of impactful and engaging training for employees. As a leading Architecting with Google Compute Engine training provider, we ensure the training is more interactive by offering Face-to-Face onsite/in-house or virtual/online sessions for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

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Edstellar's Architecting with Google Compute Engine virtual/online training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations
The consistent training quality ensures uniform learning outcomes
Participants can attend training in their own space without the need for traveling
Organizations can scale learning by accommodating large groups of participants
Interactive tools can be used to enhance learning engagement
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On-site trainig

Edstellar's Architecting with Google Compute Engine inhouse training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction
Workplace environment can be tailored to learning requirements
Team collaboration and knowledge sharing improves training effectiveness
Demonstration of processes for hands-on learning and better understanding
Participants can get their doubts clarified and gain valuable insights through direct interaction
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Off-site trainig

Edstellar's Architecting with Google Compute Engine offsite group training offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement
Team bonding can be improved through activities
Dedicated schedule for training away from office set up can improve learning effectiveness
Boosts employee morale and reflects organization's commitment to employee development
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        "The Architecting with Google Compute Engine training exceeded my expectations in every way. As a Senior Software Engineer, I gained comprehensive knowledge of strategic frameworks that transformed my approach to incredibly practical and immediately applicable. I've been able to drive meaningful innovation and improvement within my department. The instructor's expertise in interactive labs made complex concepts crystal clear and actionable.”

        Stewart Palmer

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        IT Services and Solutions Provider

        "The Architecting with Google Compute Engine training enhanced my ability to architect and implement sophisticated operational excellence strategies. Understanding practical applications through intensive real-world case studies exercises initiatives. Our solution delivery efficiency and quality have increased substantially across the board. The detailed exploration of practical simulations provided methodologies I leverage in every engagement.”

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        Digital Innovation Platform

        "This Architecting with Google Compute Engine course provided our team with comprehensive advanced methodologies capabilities we immediately put into practice. As a Senior Software Engineer managing complex technical mastery significantly enhanced our delivery capacity. Our team's capability maturity level increased by three full stages within six months. The training fundamentally improved our team's performance metrics and overall efficiency.”

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        “Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

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