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Overview

This certification & training course uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that you can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies
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What You'll Learn

This course teaches participants the following skills:
  • Identify the purpose and value of Google Cloud products and services. Interact with Google Cloud services.
  • Describe ways in which customers have used Google Cloud.
  • Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine.
  • Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore.
  • Make basic use of BigQuery, Google’s managed data warehouse for analytics.

Who Should Attend

This class is intended for the following:
  • Individuals planning to deploy applications and create application environments on Google Cloud.
  • Developers, systems operations professionals, and solution architects getting started with Google Cloud.
  • Executives and business decision makers evaluating the potential of Google Cloud to address their business needs.
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Prerequisites

Familiarity with application development, systems operations, Linux operating systems, and data analytics/machine learning is helpful in understanding the technologies covered.

Learning Journey

Want to boost your career in Google Cloud? Click on the roles below to see the learning pathways, specially designed to give you the skills to succeed.

  • Administrator
  • API Developer
  • API Platform Administrator
  • Architect
  • Cloud Architect
  • Cloud Developer
  • Cloud Infrastructure Engineer
  • Cloud Network Engineer
  • Cloud Security Engineer
  • Cloud Solutions Architect
  • Developer
  • DevOps Engineer
  • Google Cloud Engineer
  • Network Architect
  • Security Analyst

Cloud Infrastructure Engineer

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DevOps Engineer

Average Salary: 1000

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The course includes presentations, demonstrations, and hands-on labs.

Module 1: Introducing Google Cloud
  • Explain the advantages of Google Cloud.
  • 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
  • Identify the purpose of projects on Google Cloud.
  • Understand the purpose of and use cases for Identity and Access Management.
  • List the methods of interacting with Google Cloud.
  • Lab: Getting Started with Cloud Marketplace.
Module 3: Virtual Machines in the Cloud
  • Identify the purpose of and use cases for Google Compute Engine.
  • Understand the basics of networking in Google Cloud.
  • Lab: Getting Started with Google Compute Engine.

Module 4: Storage in the Cloud

  • Understand the purpose of and use cases for: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore.
  • Learn how to choose between the various storage options on Google Cloud.
  • Lab: Getting Started with 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.
  • Introduction to Hybrid and Multi-Cloud computing (Anthos).
  • Lab: Getting Started with Kubernetes Engine.
Module 6: Applications in the Cloud
  • Understand the purpose of and use cases for App Engine.
  • Contrast the App Engine standard environment with the App Engine flexible environment.
  • Understand the purpose of and use cases for Cloud Endpoints.
  • Lab: Getting Started with App Engine.
Module 7: Containers in the Cloud
  • Understand how Cloud Source Repositories, Cloud Functions, and Deployment Manager support development in the cloud.
  • Understand the purpose of integrated monitoring, alerting, and debugging.
  • Lab: Getting Started with Deployment Manager and Cloud Monitoring.
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: Getting Started with BigQuery.
Module 9: Summary and Review
  • Summary and Review.
  • What's Next?

Instructors

Scott Duffy

Bestselling Azure & TOGAF® Trainer, Microsoft Azure MVP

4.8 (4.1k)
|
10 Courses
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Scott Duffy

Bestselling Azure & TOGAF® Trainer, Microsoft Azure MVP

4.8 (4.1k)
|
10 Courses
profile-instructor-a.png
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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