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This track includes :

Google Cloud Platform Fundamentals: Core Infrastructure - GCPCIN - 1 Day

Architecting with Google Compute Engine - GCPGCE - 3 Days

Google Cloud Platform Fundamentals: Core Infrastructure one-day instructor-led class provides an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, participants learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.

Architecting with Google Compute Engine is three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This certification & training course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
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What You'll Learn

Google Cloud Platform Fundamentals: Core Infrastructure course teaches participants the following skills:
  • Identify the purpose and value of Google Cloud Platform products and services
  • Interact with Google Cloud Platform services
  • Describe ways in which customers have used Google Cloud Platform
  • Choose among and use application deployment environments on Google Cloud Platform: Google App Engine, Google Kubernetes Engine, and Google Compute Engine
  • Choose among and use Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
  • Make basic use of BigQuery, Google’s managed data warehouse for analytics
  • Make basic use of Cloud Deployment Manager, Google’s tool for creating and managing cloud resources through templates
  • Make basic use of Google Stackdriver, Google’s monitoring, logging, and diagnostics system 
Architecting with Google Compute Engine course teaches participants the following skills:
  • Configure VPC networks and virtual machines 
  • Administer Identity and Access Management for resources 
  • Implement data storage services in GCP 
  • Manage and examine billing of GCP resources 
  • Monitor resources using Stackdriver services 
  • Connect your infrastructure to GCP 
  • Configure load balancers and autoscaling for VM instances 
  • Automate the deployment of GCP infrastructure services 
  • Leverage managed services in GCP

Who Should Attend

  • Individuals planning to deploy applications and create application environments on Google Cloud Platform.
  • Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform.
  • Executives and business decision makers evaluating the potential of Google Cloud Platform to address their business
  • Cloud Solutions Architects, DevOps Engineers.
  • Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.
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Prerequisites

Participants should have:

  • Completion of Google Cloud Platform Fundamentals or equivalent experience
  • Basic proficiency with command-line tools and Linux operating system environments
  • Systems Operations experience, including deploying and managing applications, either on-premises or in a public cloud environment
  • Familiarity with the Linux command line, web servers, and text editors.

Learning Journey

Coming Soon...

In Google Cloud Platform Fundamentals: Core Infrastructure, you will learn

Module 1: Introducing Google Cloud Platform

  • Explain the advantages of Google Cloud Platform.
  • Define the components of Google’s network infrastructure, including: Points of presence, data centers, regions, and zones.
  • Understand the difference between Infrastructure-as-a- Service (IaaS) and Platform-as-a-Service (PaaS).
Module 2: Getting Started with Google Cloud Platform
  • Identify the purpose of projects on Google Cloud Platform.
  • Understand the purpose of and use cases for Identity and Access Management.
  • List the methods of interacting with Google Cloud Platform.
  • Lab: Getting Started with Google Cloud Platform.
Module 3: Virtual Machines and Networks in the Cloud
  • Identify the purpose of and use cases for Google Compute Engine.
  • Understand the various Google Cloud Platform networking and operational tools and services.
  • Lab: Compute Engine
Module 4: Storage in the Cloud
  • Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore.
  • Learn how to choose between the various storage options on Google Cloud Platform.
  • Lab: Cloud Storage and Cloud SQL
Module 5: Containers in the Cloud
  • Define the concept of a container and identify uses for containers.
  • Identify the purpose of and use cases for Google Kubernetes Engine and Kubernetes.
  • Lab: Kubernetes Engine
Module 6: Applications in the Cloud
  • Understand the purpose of and use cases for Google App Engine.
  • Contrast the App Engine Standard environment with the App Engine Flexible environment.
  • Understand the purpose of and use cases for Google Cloud Endpoints.
  • Lab: App Engine
Module 7: Developing, Deploying, and Monitoring in the Cloud
  • Understand options for software developers to host their source code.
  • Understand the purpose of template-based creation and management of resources.
  • Understand the purpose of integrated monitoring, alerting, and debugging.
  • Lab: Deployment Manager and Stackdriver
Module 8: Big Data and Machine Learning in the Cloud
  • Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.
  • Lab: BigQuery
In Architecting with Google Compute Engine, you will learn

Module 1: Introduction to Google Cloud Platform
  • List the different ways of interacting with GCP
  • Use the GCP Console and Cloud Shell
  • Create Cloud Storage buckets
  • Use the GCP Marketplace to deploy solutions
Module 2: Virtual Networks List the VPC objects in GCP
  • Differentiate between the different types of VPC networks
  • Implement VPC networks and firewall rules
  • Design a maintenance server
Module 3: Virtual Machines
  • Recall the CPU and memory options for virtual machines
  • Describe the disk options for virtual machines
  • Explain VM pricing and discounts
  • Use Compute Engine to create and customize VM instances
Module 4: Cloud IAM
  • Describe the Cloud IAM resource hierarchy
  • Explain the different types of IAM roles
  • Recall the different types of IAM members
  • Implement access control for resources using Cloud IAM
Module 5: Storage and Database Services
  • Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable
  • Choose a data storage service based on your requirements
  • Implement data storage services
Module 6: Resource Management
  • Describe the cloud resource manager hierarchy
  • Recognize how quotas protect GCP customers
  • Use labels to organize resources
  • Explain the behavior of budget alerts in GCP
  • Examine billing data with BigQuery
Module 7: Resource Monitoring
  • Describe the Stackdriver services for monitoring, logging, error reporting, tracing, and debugging
  • Create charts, alerts, and uptime checks for resources with Stackdriver Monitoring
  • Use Stackdriver Debugger to identify and fix errors
Module 8: Interconnecting Networks
  • Recall the GCP interconnect and peering services available to connect your infrastructure to GCP
  • Determine which GCP interconnect or peering service to use in specific circumstances
  • Create and configure VPN gateways
  • Recall when to use Shared VPC and when to use VPC Network Peering
Module 9: Load Balancing and Autoscaling
  • Recall the various load balancing services
  • Determine which GCP load balancer to use in specific circumstances Describe autoscaling behavior
  • Configure load balancers and autoscaling
Module 10: Infrastructure Automation
  • Automate the deployment of GCP services using Deployment Manager or Terraform
  • Outline the GCP Marketplace
Module 11: Managed Services
  • Describe the managed services for data processing in GCP
This course is not associated with any Certification.

Frequently Asked Questions (FAQs)

  • Why get Google Cloud Platform (GCP) certified?

    Google Cloud certifications validate your expertise in cloud technologies and your proficiency in using Google Cloud Platform's vast array of services.

    These certifications are recognized globally and highly sought after by employers, as they demonstrate your ability to design, develop, and manage scalable and secure cloud solutions on GCP.

    Google Cloud-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    Google Cloud offers a variety of certification exams across different levels (Foundational, Associate, and Professional) covering various job roles and specializations.

    The exams typically consist of multiple-choice and multiple-select questions, as well as scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Google Cloud Platform (GCP) certification valid for?

    Most Google Cloud certifications, including Professional-level certifications, are valid for two years from the date of passing the exam.

    The Cloud Digital Leader and Associate Cloud Engineer certifications are valid for three years from the date of passing the exam.

    To maintain your certification, you will need to recertify by passing the latest version of the same exam or an equivalent higher-level certification exam before your current certification expires.

    You will receive a notification from Google Cloud prior to your certification's expiration date.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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