Exclusively for practitioners located in EMEA countries, choose any 4 skill badges from the list, complete the quests by September 18th & take the challenge labs. Race the clock to earn your skill badges of choice in 30 days.
As businesses around the world increase their investment in cloud services, it becomes increasingly important to them to upskill their teams. There is a shortage of cloud experts however. With the Super Skills Challenge we want to give the chance to learn and master some high in demand skills, against the clock, with the added incentive to win Google Cloud credits you can use towards your next big project.
During your participation in the EMEA Super Skills Challenge, if you're facing any issues with Qwiklabs access, feel free to reach out to [email protected]
In case you might not be aware, a skill badge is an exclusive digital badge issued by Google Cloud in recognition of the mastering of a certain skill with Google Cloud products and services and tests what you’ve learned in an interactive hands-on environment. To earn a badge, you’d need to complete the designated quest and the final assessment challenge lab. Earning any 4 of the badges below through this program gives you the chance to enter a raffle to win Google Cloud credits.
Let’s go!
Once you’ve earned them, make sure to share your new Google Cloud skill badges on your social networks using #GoogleCloudBadge
Developer Advocate of Machine Learning,
Google Cloud
Developer Advocate of Machine Learning,
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Customer Engineer,
Google Cloud
Customer Engineer
Google Cloud
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Learn to write gcloud commands and use Cloud Shell. Create and deploy virtual machines in Compute Engine, run containerized applications on GKE, and configure network and HTTP load balancers.
Learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of Cloud Storage, IAM, Cloud Functions, and Pub/Sub.
Learn to configure and build images to run and debug Docker containers, build GKE clusters, and manage them with kubectl, deploy Kubernetes applications using deployments and CD techniques.
Learn the basic features for the following ML & AI technologies: BigQuery, Cloud Speech AI, NLP API, AI Platform, Dataflow, Cloud Dataprep by Trifacta, Dataproc, and Video Intelligence API.
Learn about the following basic features of BigQuery: SQL queries, create & manage database tables in Cloud SQL, query public tables, and load sample data into BigQuery, troubleshoot common Syntax errors with the Query Validator, use Google Apps Script, create a chart in Google Sheets, and export that data to Google Slides, and create reports in Google Data Studio by connecting to BigQuery data.
Learn about networking-related resources to build, scale, and secure your applications on Google Cloud, including how to Enable Identity-Aware Proxy, create VPC networks, create VM instances with nginx web servers using Compute Engine. Create firewall rules to control internal and external access to your VMs, configure, stress, and protect a multi-region HTTP application with an HTTP load balancer and Google Cloud Armor.
Learn how to use BigQuery ML to create machine learning models, create a classification model, create a forecasting model, and implement a chatbot using Dialogflow for dynamic real-time responses.
Learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Cloud Translation API, and Cloud Natural Language API.
Learn how to: 1. Deploy a website on Cloud Run. 2. Host a web app on Compute Engine. 3. Create, deploy, and scale your website on Google Kubernetes Engine. 4. Migrate from a monolithic application to a microservices architecture.
Learn how to: 1. Create a git repository using Google Cloud Source Repositories. 2. Launch, manage, and scale deployments using GKE. 3. Setup a Kubernetes cluster and deploy Load Balancer type NGINX using Terraform. 4. Create and monitor a GKE cluster using Cloud Monitoring. 5. Use Jenkins on Kubernetes Engine to develop a CD pipeline.
Let’s go!
Once you’ve earned them, make sure to share your new Google Cloud skill badges on your social networks using #GoogleCloudBadge
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As businesses around the world increase their investment in cloud services, it becomes increasingly important to them to upskill their teams. There is a shortage of cloud experts however. With the Super Skills Challenge we want to give the chance to learn and master some high in demand skills, against the clock, with the added incentive to win Google Cloud credits you can use towards your next big project.
Date XX, XXXX [SH-M]
Tracks available:
Date XX, XXXX [SH-M]
Tracks available:
Date XX, XXXX [SH-M]
Tracks available:
Date XX, XXXX [SH-M]
Tracks available:
Date XX, XXXX [SH-M]
Tracks available:
Date XX, XXXX [SH-M]
Tracks available:
Date XX, XXXX [SH-M]
Tracks available:
Date XX, XXXX [SH-M]
Tracks available:
Date XX, XXXX [SH-M]
Tracks available:
Check your inbox to start your selected skills challenge with 30 days complimentary access to Google Cloud labs available on Qwiklabs.
Register for the Getting Started hands-on learning webinar on Cloud OnAir, to give you a head start on this month’s featured skills challenge. Google experts will walk you through a lab included in the Getting Started skills challenge, give you an overview of the fundamentals of the Google Cloud console and answer your questions. Register now.
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