Google Cloud Core Infrastructure

Google Cloud: Here You Come!

This Google Cloud Fundamentals: Core Infrastructure course is the first step in your path to gaining Google Cloud certifications, including the Professional Cloud Architect, Professional Cloud Engineer, Professional Cloud Security Engineer, Professional Cloud DevOps Engineer, and Professional Cloud Developer.

Details

  1. The training will run from 9:00 – 17:00 CET (3 am EST – 11 am EST / 12:30 pm – 8:30 pm IST).
  2. During the training, you will go hands-on with several Qwiklabs. If you haven’t done so already, please take a minute to register for the Qwiklabs.
  3. Questions about the Qwiklabls or the training in general? Please first take a look at this overview of best practices and frequently answered questions. To ask a different question, please fill in this form.
  4. Completed at least 4 labs? Fill in this form, add a screenshot of the completed labs overview and submit. We will process the submitted forms once per day.

Outline of the day

GCP Big Data & ML Training Schedule

Completed the labs?

Fill in this form to request the certificate. We will process the submitted forms once per day.

Questions?

Fill in this form and we’ll get back to you.
Laden…

What to Expect

Google Cloud Fundamentals: Core Infrastructure Is Perfect for

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 needs
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: Google Compute Engine and Networking

  • Identify the purpose of and use cases for Google Compute Engine.
  • Understand the basics of networking in Google Cloud Platform.
  • Lab: Deploying Applications Using Google Compute Engine.

Module 4: Google Cloud Platform Storage Options

  • Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable.
  • Learn how to choose between the various storage options on Google Cloud Platform.
  • Lab: Integrating Applications with Google Cloud Storage.

Module 5: Google Container Engine

  • Define the concept of a container and identify uses for containers.
  • Identify the purpose of and use cases for Google Container Engine and Kubernetes.
  • Introduction to Hybrid and Multi-Cloud computing (Anthos).
  • Lab: Deploying Applications Using Google Container Engine.

Module 6: Google App Engine and Google Cloud Datastore

  • Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore.
  • Contrast the App Engine Standard environment with the App Engine Flexible environment.
  • Understand the purpose of and use cases for Google Cloud Endpoints.
  • Lab: Deploying Applications Using App Engine and Cloud Datastore.

Module 7: Deployment and Monitoring

  • Understand the purpose of template-based creation and management of resources.
  • Understand the purpose of integrated monitoring, alerting, and debugging.
  • Lab: Getting Started with Stackdriver and Deployment Manager.

Module 8: Big Data and Machine Learning

  • 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?

Module 4: Scaling Data Analysis

Fast random access.
Datalab.
BigQuery.
Lab: Build a Machine Learning Dataset.

Module 5: Machine Learning

Machine Learning with TensorFlow.
Lab: Carry out ML with TensorFlow.
Pre-built models for common needs.
Lab: Employ ML APIs.

Module 6: Data Processing Architectures

Message-oriented architectures with Pub/Sub.
Creating pipelines with Dataflow.
Reference architecture for real-time and batch data processing.

Module 7: Summary

Why GCP?
Where to go from here.
Additional Resources.

Frequently Answered Questions

Questions and common issues:

Examples: 

  • My account seems to be blocked

Make sure you use the labs only for the purpose as described, also make sure you use the correct credentials. If in any case your account will be blocked, contact Qwiklabs support.

  • I have completed 5 labs where can I check my status

You can check your status in ‘My Learning’, here is an overview of the completed courses. If completed you should see a green V. If one step is not correct or forgotten the green V won’t show up.

  • I can’t paste or copy within the labs

Check your browser version and/or preferences.

  • Qwiklabs doesn’t work or is lacking

Since the training has over 40.000 registrations we cannot guarantee that everyone can complete the Qwiklabs at the same time during the training. So if the Qwiklabs are not working or lacking, take notes and try to complete them afterward.

  • Until when can I use the Qwiklabs?

You can use the Qwiklabs until this coming Friday, 11th of June

  • Do I receive a certificate after the training

Yes, participants who successfully complete at least 4 (of 5) labs AND submit this form  including a screenshot as proof will obtain the certificate of attendance. Fill in this form.

  • If I miss a lab, do I still get a certificate?

If you miss a lab, you can still obtain the certificate if you complete at least 4 Qwiklabs.

  • What can I do if I can’t access the Qwiklabs but still want to participate?

You can register for the free Skills challenge from Google: https://inthecloud.withgoogle.com/google-cloud-skills/register.html

  • Will a recording be available?

As this is an official instructor-led GCP training, it is not possible to share the recording.

Common Issues With Qwiklabs

  • During the training, you will go hands-on with several Qwiklabs. If you haven’t done so already, please take a minute to register for the Qwiklabs.
  • Make sure you use the correct credentials from the lab every time you start a new one
  • Make sure you use an incognito window every time.
  • If you do not see the labs, make sure you are using the mail address you registered with for this particular session.
  • If you have completed a lab there will be a green V showing that it is completed, this overview can be found in ‘My learning’. Make sure you completed all tasks correctly, only then the green V will be shown.