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Google Cloud Fundamentals: Core Infrastructure

Course Code: DDL-0001

FREE ACCESS

  •   Access to course content
  •   No access to labs
  •   Certificate not included

PAID ACCESS

  •   Access to course content
  •   Access to all course labs
  •   Blockchain Enabled Certificate and Badges

ABOUT THIS COURSE

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

This course is a prerequisite for several other Google courses and certifications.

On successful completion of this course, DDLS will issue you a digital badge that you can share on your social media channels and use as part of your wider applicable certification and training transcript.

OBJECTIVES

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.

RECOMMENDED FOR

This course is intended for the following participants:

  • 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.

PREREQUISITES

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

MEET THE INSTRUCTORS

  • ADRIAN SMITH

    • TECHNICAL TRAINER


    PROFILE SUMMARY

    Since completing his B.Sc. in Computer Science, Adrian has compiled over 30 years’ IT experience. During his time as a Technical Trainer at DDLS, Adrian has worked across Microsoft, Google Cloud & AWS product sets.

  • DAVID VAN GEMERT

    • SENIOR TECHNICAL TRAINER


    PROFILE SUMMARY

    David is a Technical Trainer for DDLS for Microsoft Infrastructure and Security Training, CompTIA A+, Network+ and Security+ delivering Training and Consulting in Australia and New Zealand.

  • ITVINDER MANKOO

    • PROCESS TRAINER


    PROFILE SUMMARY

    He is a highly experienced and passionate facilitator with a wealth of ‘real-world’ experience which she uses to bring to life her training courses. She is an entertaining trainer and without exception, students excel, enjoy, and learn in an environment that is supportive, educational, and fun.

  • JOHN ANG

    • TECHNICAL TRAINER


    PROFILE SUMMARY

    An experienced Infrastructure, Security, Consulting and Project Management in Information Technology. With more than 20 years in the IT industry, recently led the Infrastructure and Security projects for one of the largest conglomerates in the country. Highly skilled in Microsoft, Symantec, CyberArk, Qualys, SolarWinds, and IT Security Policies and Procedures.

  • LOUIS CREMEN

    • TECHNICAL TRAINER


    PROFILE SUMMARY

    Graduated B of Computer Science at University of Wollongong in 2009. Started his own software company making mobile and web apps for other companies (CommBank, RBA, Army, Government, Enterprises). Contracted to create courses to train developers how to write apps for companies (DDLS, AUC) and then as a university lecturer (UOW).

  • MICHAEL MANASAN

    • SENIOR TECHNICAL TRAINER


    PROFILE SUMMARY

    Michael is a versatile individual with a passion for technology, be it open or closed source. He is interested in infrastructure, messaging, database, and development technologies as well as management processes. Michael is continually upgrading his skillset as well as adding new skills that fancies his interest.

  • TERRY GRIFFIN

    • TECHNICAL TRAINER


    PROFILE SUMMARY

    Terry is a technology specialist and brings to the classroom his extensive experience and knowledge which he uses to keep his courses interesting to the attendees. He is known as a Microsoft, VMware, and Citrix evangelist, and brings that enthusiasm to the classroom.

  COURSE OUTLINE


  • 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?

Course Details

  1. Classes Start

  2. Estimated Effort

    8 hours/day
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