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Milos Basaraba

Member since 2020

Silver League

10700 points
Learn to Earn Cloud Challenge: Data+ Earned Oct 9, 2021 EDT
Learn to Earn Cloud Challenge: Data Earned Sep 20, 2021 EDT
Learn to Earn Cloud Challenge: Architecture Earned Sep 19, 2021 EDT
Learn to Earn Cloud Challenge: Security Earned Sep 19, 2021 EDT
Learn to Earn Cloud Challenge: Essentials Earned Sep 18, 2021 EDT
Set Up a Google Cloud Network Earned Apr 1, 2021 EDT
Holi Speedrun Earned Mar 31, 2021 EDT
Optimize Costs for Google Kubernetes Engine Earned Mar 31, 2021 EDT
Deploy Kubernetes Applications on Google Cloud Earned Mar 23, 2021 EDT
Create ML Models with BigQuery ML Earned Mar 20, 2021 EDT
St Patrick Day Speedrun Earned Mar 19, 2021 EDT
Work and Play: Healthcare with Google Cloud Earned Mar 6, 2021 EST
Love Your Pet Speedrun Earned Feb 20, 2021 EST
Derive Insights from BigQuery Data Earned Feb 12, 2021 EST
DEPRECATED BigQuery Basics for Data Analysts Earned Feb 12, 2021 EST
Use Machine Learning APIs on Google Cloud Earned Feb 12, 2021 EST
DEPRECATED Creating with Google Maps Earned Feb 12, 2021 EST
Pizza Day Speedrun Earned Feb 10, 2021 EST
Develop Serverless Applications on Cloud Run Earned Jan 30, 2021 EST
Trifacta Dataprep on Google Cloud Game Day Earned Jan 22, 2021 EST
Develop Your Google Cloud Network Earned Jan 12, 2021 EST
Advanced ML: ML Infrastructure Earned Jan 1, 2021 EST
Holiday Speedrun Earned Dec 28, 2020 EST
Intermediate ML: TensorFlow on Google Cloud Earned Jun 19, 2020 EDT
Implementing Cloud Load Balancing for Compute Engine Earned Jun 8, 2020 EDT
Secure your Cloud Earned Jun 6, 2020 EDT
Intro to ML: Image Processing Earned Jun 6, 2020 EDT
Set Up an App Dev Environment on Google Cloud Earned Jun 4, 2020 EDT
Cloud Engineering Earned May 30, 2020 EDT
BQML 15 Day Challenge May 2020 Earned May 29, 2020 EDT
Community Speedrun Challenge May #4: BigQuery for Machine Learning Earned May 25, 2020 EDT
BigQuery for Machine Learning Earned May 23, 2020 EDT
[DEPRECATED] Deploying Applications Earned May 20, 2020 EDT
DevOps Essentials Earned May 12, 2020 EDT
Intro to ML: Language Processing Earned May 11, 2020 EDT
Community Speedrun Challenge May #2: Intro to ML: Language Processing Earned May 11, 2020 EDT
Community Speedrun Challenge May #1: Baseline: Data, ML, AI Earned May 7, 2020 EDT
DEPRECATED Cloud Architecture Earned May 6, 2020 EDT
Baseline: Infrastructure Earned May 5, 2020 EDT
Google Cloud Essentials Earned Apr 25, 2020 EDT
Kubernetes in Google Cloud Earned Apr 22, 2020 EDT

Welcome to the Learn To Earn Cloud Challenge data plus track! "The Google Cloud Certified Professional Data Engineer certification is associated with the highest paying salary in IT," according to the most recent Global Knowledge skills and salary report (published August 2021). Complete this game to earn the Data Plus game badge, and be eligible for a +bonus+ prize in the Learn to Earn Cloud Challenge. See "what's next" below for details and requirements; you’ll need to earn at least 2 additional challenge badges to qualify. You'll learn next-level data skills to add to your resume. Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!

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Welcome to the Learn To Earn Cloud Challenge data track! These eight labs give you a deep dive into GCP's data universe. At the end of each lab, you'll have another in-demand skill to add to your list. Complete this game to earn the Data game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!

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Welcome to the Learn To Earn Cloud Challenge architecture track! These eight labs give you a blueprint of GCP's building blocks. At the end of each lab, you'll have hands-on experience with another tool or service to add to your resume. Complete this game to earn the Architecture game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!

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Welcome to the Learn To Earn Cloud Challenge security track! These eight labs give you the keys to understanding GCP's powerful security suite. At the end of each lab, you'll have hands-on experience with securing your cloud. Complete this game to earn the Security game badge, and you'll be one step closer to collecting all four badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!

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Welcome to the Learn To Earn Cloud Challenge! These eight labs give you a quick hands-on introduction to eight different GCP tools and services. At the end of each lab, you'll have another skill to add to your list. Complete this game to earn the Essentials game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!

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Earn a skill badge by completing the Set Up a Google Cloud Network skill badge course, where you will learn how to perform basic networking tasks on Google Cloud Platform - create a custom network, add subnets firewall rules, then create VMs and test the latency when they communicate with each other.

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Happy Holi! Collect red, blue, yellow and green skill badges with this week's colorful challenge. Each day features a different color skill badge (skill badge colors denote level of difficulty!). Play the game and solve each challenge lab for extra points! Did you know that game labs count towards skill badge completion?

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Complete the intermediate Optimize Costs for Google Kubernetes Engine skill badge course to demonstrate skills in the following: creating and managing multi-tenant clusters, monitoring resource usage by namespace, configuring cluster and pod autoscaling for efficiency, setting up load balancing for optimal resource distribution, and implementing liveness and readiness probes to ensure application health and cost-effectiveness.

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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.

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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.

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It's St Patrick's Day today! Get into the Irish spirit with today's Speedrun. Who needs luck when you can use Machine Learning to predict what happens next?

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Google Cloud, in partnership with Harvard Global Health Institute, released the COVID-19 Public Forecasts to serve as an additional resource for healthcare, the public sector, and other organizations responding to the pandemic. In this edition of the Work and Play Series, we are going to learn how to use that data to make predictions and visualizations. You’ll get hands-on experience with exactly the same tools being used to help solve complex problems and keep people safe and healthy.

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20th February is Love Your Pet Day! Celebrate all the good boys and girls with this weekend’s speedrun. Each lab teaches you a new Google Cloud skill. In the first lab, you meet Mr. Whiskers and his friends, and deploy a new Ruby on Rails app. In the next two labs, you’ll review frisbees (5 stars, would chase again), learn how to reverse-engineer the relationships between data tables, and create new reporting tables using SQL JOINS and UNIONs. In the final lab, you’ll install and run an object detection application - a pretty neat TensorFlow experience - and test if your app can detect your pet’s species. So curl up with your furry friends (or feathered, finned, fanged, whatever else!) and learn some new tricks! Er, skills. Good luck!

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Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Looker Studio by connecting to BigQuery data.

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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.

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In this quest you will use several tools available in Google Cloud to manipulate data and create a Google Map - map location details to find subway stations or a business; use geocoding and Apps Script to send an email of a map; visualize data on a customized map; and build a server-side proxy to create a map on a mobile device.

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It’s pizza O’clock at Qwiklabs. 9th February is Pizza day and we thought what better way to celebrate than a speedrun! Today’s labs come with all the extra toppings, no extra charge.

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Complete the intermediate Develop Serverless Applications on Cloud Run skill badge course to demonstrate skills in the following: integrating Cloud Run with Cloud Storage for data management, architecting resilient asynchronous systems using Cloud Run and Pub/Sub, constructing REST API gateways powered by Cloud Run, and building and deploying services on Cloud Run.

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Cloud Dataprep by Trifacta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. In today's game, get hands-on experience with the Cloud Dataprep UI. Learn how to create a data transformation pipeline, automate the data pipeline and much more with Cloud Dataprep and BigQuery

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Earn a skill badge by completing the Develop your Google Cloud Network skill badge course, where you learn multiple ways to deploy and monitor applications including how to: explore IAM roles and add/remove project access, create VPC networks, deploy and monitor Compute Engine VMs, write SQL queries, deploy and monitor VMs in Compute Engine, and deploy applications using Kubernetes with multiple deployment approaches.

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Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning at scale and how to employ the advanced ML infrastructure available on Google Cloud.

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Celebrate this holiday season with Qwiklabs. Have some holiday fun with these labs which will help you from mapping the NYC subway to building a nearby business search service with Google Maps platform. The goal - have fun! Each and every participant in this game will receive a gift of Qwiklabs credits. Then you may get more gifts - all depends on the number of labs you complete. The more labs you take, the higher your score and the better your chances! Hurry up and join this game today!! Limited seats available.

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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.

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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.

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The move to public cloud services is underway, and requirements for cloud security are real. In today's game, get hands-on experience with the GCP security toolset. Learn to manage user access at scale, score your environment's security, and more. Bonus, three of these labs get you closer to earning the Security & Identity quest badge.

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Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.

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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.

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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Associate Cloud Engineer Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.

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Welcome Winners! We hope you enjoyed the BQML Challenge. Now it is Game Time! You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.

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Welcome Gamers! In this game today, you will be having fun with BigQuery and Machine Learning. Learn some interesting concepts with BigQuery Qwik start and use them in day to day scenarios. Take labs to earn points. The faster you complete the lab objectives, the higher your score.

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Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and learn what makes a good model.

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The Google Cloud Platform provides many different frameworks and options to fit your application’s needs. In this introductory-level quest, you will get plenty of hands-on practice deploying sample applications on Google App Engine. You will also dive into other web application frameworks like Firebase, Wordpress, and Node.js and see firsthand how they can be integrated with Google Cloud.

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Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this course you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five question multiple-choice quiz and find out!

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It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory course, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.

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Welcome Gamers! In this game today, you will be having fun with Machine Learning. Learn about Natural Language API and get hands on experience on other services as well. Take labs to earn points. The faster you complete the lab objectives, the higher your score.

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Welcome Gamers! In this game today, you will be having fun with BigQuery. Learn some interesting concepts like BigQuery Qwik start and Cloud ML Engine. Take labs to earn points. The faster you complete the lab objectives, the higher your score.

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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.

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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this course is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Monitoring and Cloud Functions. You will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.

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In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.

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Kubernetes is the most popular container orchestration system, and Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in Google Cloud. In this course, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications.

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