Wednesday, April 13th | 9:30 – 13:30 CET | Instructor-Led | Online
Authorized GCP Training for Azure Professionals
No matter if you’ve been naughty or nice, this training session introduces AWS professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database.
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This online, instructor-led training is designed for Azure system administrators, Engineers, Solution Architects and SysOps Administrators familiar with Azure features and setup; and want to gain experience configuring Google Cloud products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly.
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What You'll Learn
This half-day course introduces Azure professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. It is designed for Azure system administrators, Engineers, Solution Architects, and SysOps Administrators familiar with Azure features and setup; and who want to gain experience configuring Google Cloud products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly.
Module 1: Introducing Google Cloud Platform
- Identify Google Cloud counterparts for Azure IaaS, Azure PaaS, Azure SQL, Azure Blob Storage, Azure Application Insights, and Azure Data Lake
- Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more
- Manage and monitor applications • Explain feature and pricing model differences
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?
Martijn van de Grift
Martijn is a cloud consultant at Binx.io, where he specializes in creating solutions using GCP and AWS. He holds most of the relevant technical certifications for both clouds. Martijn has a great passion for IT and likes to work with the latest technologies. He loves to share this passion during training and webinars. Not only is Martijn a guest lecturer at the Amsterdam University of Applied Sciences, he is also an Authorized Instructor for both Amazon Web Services as Google Cloud Platform. One of his training courses is O’Reilly’s GCP Certified Data Engineering Exam Preparation.
Frequently Answered Questions
Questions and common issues:
- 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, 9th of September
- 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,
- 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.