Drive Team Excellence with Architecting with Google Compute Engine Corporate Training

Empower your teams with expert-led on-site/in-house or virtual/online Architecting with Google Compute Engine Training through Edstellar, a premier corporate training company for organizations globally. Our tailored Architecting with Google Compute Engine corporate training course equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific needs, this Architecting with Google Compute Engine group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

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.

Key Skills Employees Gain from 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
  • Virtual Machine Management
  • Scalability Planning
  • Networking Configuration
  • Security Implementation
  • Resource Optimization

Key Learning Outcomes of Architecting with Google Compute Engine Training

Edstellar’s Architecting with Google Compute Engine training for employees will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Architecting with Google Compute Engine workshop, teams will to master essential Architecting with Google Compute Engine and also focus on introducing key concepts and principles related to Architecting with Google Compute Engine at work.


Employees who complete Architecting with Google Compute Engine training will be able to:

  • 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 Corporate Training

Attending our Architecting with Google Compute Engine classes tailored for corporations offers numerous advantages. Through our on-site/in-house or virtual/online Architecting with Google Compute Engine training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Architecting with Google Compute Engine.

  • 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 divided into multiple modules designed by industry experts. This Architecting with Google Compute Engine training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it 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

Target Audience for Architecting with Google Compute Engine Training Course

The Architecting with Google Compute Engine training course is ideal for cloud architects, system administrators, IT managers, software engineers, DevOps engineers, project managers, and data engineers.

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

  • Architecting with Google Compute Engine training for managers
  • Architecting with Google Compute Engine training for staff
  • Architecting with Google Compute Engine training for leaders
  • Architecting with Google Compute Engine training for executives
  • Architecting with Google Compute Engine training for workers
  • Architecting with Google Compute Engine training for businesses
  • Architecting with Google Compute Engine training for beginners
  • Architecting with Google Compute Engine group training
  • Architecting with Google Compute Engine training for teams
  • Architecting with Google Compute Engine short course

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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At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

 Virtual trainig

Our virtual 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
 On-site trainig

Edstellar's onsite 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
 Off-site trainig

Edstellar's off-site training programs 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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        Course Completion Certificate

        Upon successful completion of the Architecting with Google Compute Engine training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

        This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

        Course Completion Certificate

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