Paul Burega
Member since 2018
Silver League
5300 points
Valentine's Speedrun
Earned февр. 17, 2020 EST
Cloud Hero Speedrun: ACE Challenge Game 1
Earned янв. 5, 2020 EST
Intro to ML: Image Processing
Earned нояб. 16, 2019 EST
App Dev 30-Day Challenge
Earned нояб. 9, 2019 EST
Scientific Data Processing
Earned окт. 27, 2019 EDT
Corporate Apps on AWS for Windows
Earned окт. 27, 2019 EDT
Programming Windows on AWS
Earned окт. 27, 2019 EDT
Databases on AWS for Windows
Earned окт. 27, 2019 EDT
Cloud Hero Speedrun: AppDev Challenge Game 2
Earned окт. 19, 2019 EDT
Machine Learning APIs
Earned окт. 11, 2019 EDT
Data Science on Google Cloud
Earned окт. 9, 2019 EDT
DEPRECATED Google Cloud's Operations Suite
Earned окт. 7, 2019 EDT
Cloud Healthcare API
Earned окт. 7, 2019 EDT
Cloud Hero: Smart Analytics
Earned сент. 28, 2019 EDT
DevOps Essentials
Earned сент. 24, 2019 EDT
Google Developer Essentials
Earned сент. 17, 2019 EDT
Understand Your Google Cloud Costs
Earned сент. 14, 2019 EDT
Cloud Hero Speedrun: Understanding Your GCP Costs
Earned сент. 14, 2019 EDT
Cloud Hero Speedrun: BigQuery for Data Analysis
Earned сент. 7, 2019 EDT
DEPRECATED Exploring APIs
Earned сент. 3, 2019 EDT
Cloud Hero Speedrun: Data Solutions
Earned авг. 30, 2019 EDT
Google Kubernetes Engine Best Practices
Earned авг. 29, 2019 EDT
DEPRECATED BigQuery for Data Warehousing
Earned авг. 28, 2019 EDT
DEPRECATED BigQuery for Data Analysis
Earned авг. 28, 2019 EDT
DEPRECATED BigQuery for Marketing Analysts
Earned авг. 26, 2019 EDT
BigQuery for Machine Learning
Earned авг. 25, 2019 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned авг. 23, 2019 EDT
Cloud Hero Speedrun: IoT & Big Data
Earned авг. 23, 2019 EDT
VM Migration
Earned авг. 20, 2019 EDT
Cloud Hero Speedrun: Apigee
Earned авг. 10, 2019 EDT
[DEPRECATED] Data Engineering
Earned авг. 9, 2019 EDT
Cloud Engineering Speedrun
Earned июня 29, 2019 EDT
Cloud Development
Earned июня 21, 2019 EDT
OK Google! Speedrun
Earned июня 21, 2019 EDT
Cloud Engineering
Earned июня 19, 2019 EDT
Kubernetes Challenge Speedrun Game 2
Earned июня 7, 2019 EDT
Baseline: Data, ML, AI
Earned июня 3, 2019 EDT
Advanced Operations Using Amazon Redshift
Earned июня 3, 2019 EDT
SysOps Administrator - Associate
Earned июня 3, 2019 EDT
Kubernetes + Data Speedrun
Earned мая 24, 2019 EDT
Networking Speedrun
Earned апр. 19, 2019 EDT
Kubernetes Speedrun
Earned апр. 12, 2019 EDT
DevZone Quest
Earned апр. 9, 2019 EDT
Deprecated Kubernetes Solutions
Earned апр. 8, 2019 EDT
DEPRECATED Network Performance and Optimization
Earned апр. 8, 2019 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned апр. 5, 2019 EDT
OK Google! Speedrun
Earned апр. 5, 2019 EDT
Baseline: Infrastructure
Earned апр. 2, 2019 EDT
DEPRECATED Application Development - Python
Earned марта 31, 2019 EDT
Big Data on AWS
Earned марта 27, 2019 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned марта 25, 2019 EDT
Managing Cloud Infrastructure with Terraform
Earned марта 24, 2019 EDT
Serverless Web Apps using Amazon DynamoDB
Earned марта 17, 2019 EDT
Serverless Design with AWS Lambda
Earned марта 16, 2019 EDT
Digital Media
Earned марта 14, 2019 EDT
Solutions Architect - Professional
Earned марта 14, 2019 EDT
Security on AWS
Earned марта 13, 2019 EDT
Storage & CDN
Earned марта 12, 2019 EDT
Solutions Architect - Associate
Earned марта 11, 2019 EDT
Websites & Web Apps
Earned марта 11, 2019 EDT
Compute & Networking
Earned марта 11, 2019 EDT
Deployment & Management
Earned марта 10, 2019 EDT
DEPRECATED Websites and Web Applications
Earned марта 9, 2019 EST
Baseline: Deploy & Develop
Earned марта 8, 2019 EST
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned марта 1, 2019 EST
Cloud SQL
Earned февр. 22, 2019 EST
DEPRECATED IoT in the Google Cloud
Earned февр. 17, 2019 EST
Google Cloud Essentials
Earned февр. 15, 2019 EST
Security & Identity Fundamentals
Earned февр. 14, 2019 EST
DEPRECATED Cloud Architecture
Earned февр. 12, 2019 EST
Kubernetes in Google Cloud
Earned февр. 10, 2019 EST
[DEPRECATED] Deploying Applications
Earned февр. 8, 2019 EST
Come! Fall in love with some interesting cloud services this Valentine's day. Have fun with interesting labs and get to learn something new! Challenge yourself to complete each task as quickly and accurately as possible to score points and earn badges!
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Have you joined the Cloud ACE 30-day challenge yet? Jump ahead of the pack with today's game. You'll get hands-on experience with key Google Cloud tools and you'll be 4 labs closer to completing the challenge and earning your badge. Play to ACE your new year's resolutions!
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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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We hope you enjoyed the App Dev 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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Big data, machine learning, and scientific data? It sounds like the perfect match. In this course, you will get hands-on practice with GCP services like BigQuery, Managed Service for Apache Spark, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.
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Learn how to deploy Microsoft Windows Server-based applications in the AWS cloud, including Microsoft Exchange, Dynamics CRM and SharePoint.
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Learn how to develop applications in Microsoft Visual Studio leveraging AWS services.
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Learn how to deploy and administer databases running on Microsoft Windows Server in Amazon EC2 and Amazon RDS.
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Have you chosen your language for the 30-day challenge yet? Make progress towards completing the challenge + earning your badge in this week's game. Only a few days left until the challenge ends!
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It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud 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 APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? Enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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This is the first of two Quests of hands-on labs is derived from the exercises from the book Data Science on Google Cloud Platform, 2nd Edition by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this first Quest, covering up through chapter 8, you are given the opportunity to practice all aspects of ingestion, preparation, processing, querying, exploring and visualizing data sets using Google Cloud tools and services.
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Learn the ins and outs of Google Cloud's operations suite, an important service for generating insights into the health of your applications. It provides a wealth of information in application monitoring, report logging, and diagnoses. These labs will give you hands-on practice with and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data. It is recommended that the students have at least earned a Badge by completing the Google Cloud Essentials. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this course, enroll in and finish the challenge lab at the end of the Monitor and Log with Google Cloud Operations Suite to receive an exclusive Google Cloud digital badge.
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Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.
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Are you getting the most out of your data? Take advantage of the business insights you already have with the power of Google Cloud's analysis tools. Dive deep into key solutions to common use cases and gain hands-on experience with Data Studio, BigQuery and more data tools, plus score points and compete with other players in today's game.
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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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This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.
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This course is suitable for technology or finance roles managing Google Cloud costs. Learn to set up a billing account, organize resources, and manage access permissions. In hands-on labs, you view invoices and analyze billing data with BigQuery. You also use Google Sheets and create dashboards with Data Studio. You find references from the videos in this Additional Resources document.
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Friday the 13th might be scary, but it doesn't have to be the day you get a surprise bill. Learn how to understand your GCP costs with a lab. In today's game, you will learn how to track and analyze your billing data. Bonus, complete these labs and you're only a few steps away from earning the "Understanding your GCP Costs" badge!
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You have data. We have analysis tools. Let's talk! In today's game, you will explore how Google Cloud can help you take advantage of the information you already have. Get hands-on practice with SQL, BigQuery and Data Studio, three tools we promise you will use again.
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Google Cloud Application Programming Interfaces are the mechanism to interact with Google Cloud Services programmatically. This quest will give you hands-on practice with a variety of GCP APIs, which you will learn through working with Google’s APIs Explorer, a tool that allows you to browse APIs and run their methods interactively. By learning how to transfer data between Cloud Storage buckets, deploy Compute Engine instances, configure Dataproc clusters and much more, Exploring APIs will show you how powerful APIs are and why they are used almost exclusively by proficient GCP users. Enroll in this quest today.
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In today's game, you will explore how Google Cloud can help you solve real-world challenges with different data tools, while making progress on the Data Engineering quest. Want to learn more about what data can do? Check out how the New York Times, Macy's and healthcare researchers are using tools like Kubernetes and Tensorflow: http://bit.ly/32e0bwi
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Get Anthos Ready. Demand for Google Kubernetes Engine is growing, and customers are looking to Google and its partners to provide in-depth technical knowledge. This first Google Kubernetes Engine-centric Quest of best practices hands-on labs will get you started containerizing to modernize in place , and then managing your deployed apps and services -- with monitoring, tracing, and logging.
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Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. 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. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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Want to learn the core SQL and visualization skills of a Data Analyst? Interested in how to write queries that scale to petabyte-size datasets? Take the BigQuery for Analyst Quest and learn how to query, ingest, optimize, visualize, and even build machine learning models in SQL inside of BigQuery.
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Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. 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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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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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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In today's game, you will explore the overlap between IoT and big data, while continuing to make progress on the Data Engineering quest. Start by familiarizing yourself with key IoT concepts then challenge yourself to build an IoT Analytics Pipeline. Put GCP to the test and explore key solutions to common use cases and gain hands-on experience with IoT data at scale, ETL processing and more, plus score points and compete with other players in today's game.
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Google Cloud’s four step structured Cloud Migration Path Methodology provides a defined and repeatable path for users to follow when migrating and modernizing Virtual Machines. In this quest, you will get hands-on practice with Google’s current solution set for VM assessment, planning, migration, and modernization. You will start by analyzing your lab environment and building assessment reports with CloudPhysics and StratoZone, then build a landing zone within Google Cloud leveraging Terraform’s infrastructure-as-code templates, next you will manually transform a two-tier application into a cloud-native workload running on Kubernetes, and finally, transform a VM workload into Kubernetes with Migrate for Anthos and migrate a VM between cloud environments.
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Learn how to operate in a multi- and hybrid-cloud world with today's game. Leverage Apigee to transparently migrate application traffic from legacy backends to GCP-backed systems. In this game, you will use Apigee to move site traffic to the cloud without disruption, maintaining business continuity. The faster you complete the lab objectives, the higher your score. Don't forget to click on the "End Lab" button once you finish this lab.
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This advanced-level quest is unique amongst the other catalog 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 Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
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Welcome, gamers! Have you considered getting Google Cloud certified? The logical place to start is the Cloud ACE certification. Get a head start on completing your Cloud Engineering quest and practicing key exam topics, while scoring points and competing against players around the world.
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The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in Google Cloud from beginning to end. Be aware that while practice with these labs will increase your skills and abilities, it is recommended that you also review the exam guide and other available preparation resources.
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Welcome, gamers! Over a billion: that's how many Google Assistant devices will be out in the world by the end of the year. Want in? Learn to build your own Google Assistant app and win points in today's Qwiklabs game. Complete the game labs one by one to score points. Earn the most 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. The top 10 players get 25 free Qwiklabs credits. And the winner? Eligible to receive a Google Home mini (if available from the Google Store in your location - we'll be in touch after the game with details). Hurry, the game is open until Friday at midnight, EDT. Ready to play?
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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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It’s gameday! Watch your name move up the leaderboard and get valuable Kubernetes skills and experience to help you complete the 30-day challenge. Complete the game labs one by one to score points. Earn the most 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. The top 10 players get 25 free Qwiklabs credits. And the winner? We'll send you an ebook copy of the book "Kubernetes: Up and Running: Dive into the Future of Infrastructure" by Kelsey Hightower, Brendan Burns and Joe Beda (delivered via email). Hurry, the game is open for 12 hours only. Ready to play?
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Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like BigQuery, Cloud Speech API and Video Intelligence. Want extra help? 1-minute videos walk you through key concepts for each lab.
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In this Quest, you will delve deeper into the uses and capabilities of Amazon Redshift. You will use a remote SQL client to create and configure tables, and gain practice loading large data sets into Redshift. You will explore the effects of schema variations and compression. You will explore visualization of Redshift data, and connect Redshift with Amazon Machine Learning to create a predictive data model.
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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified SysOps Administrator - Associate Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.
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Welcome, gamers!
Want to make the most of your Friday? Learn something new (might even help your next career move) and watch your name move on the leaderboard. (Hopefully upwards!) In today's game, experiment with containerization, Kubeflow, BigQuery and ML - plus maybe even win some prizes before the weekend starts. Complete the game labs one by one to score points. Earn the most 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. Ready to play?
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Welcome to the Friday Speedrun, gamers!
Take your GCP Networking skills to the next level with a game. Complete the game labs one by one to score points. Earn the most 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. Ready to play?
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Welcome to the Friday Speedrun, gamers!
Pop quiz: What's the most popular solution to manage containerized workloads? Kubernetes of course, originally developed at Google and released as open source in 2014. Learn how it works with a game. Start taking the game labs one by one to score points. Earn the most 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. Ready to play?
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Welcome to DevZone Quest, a set of labs to deepen your understanding of the technology behind the Cloud Showcase Experiments featured in the Google Cloud Next 2019 San Francisco DevZone.
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Containerized applications have changed the game and are here to stay. With Kubernetes, you can orchestrate containers with ease, and integration with the Google Cloud Platform is seamless. In this advanced-level quest, you will be exposed to a wide range of Kubernetes use cases and will get hands-on practice architecting solutions over the course of 8 labs. From building Slackbots with NodeJS, to deploying game servers on clusters, to running the Cloud Vision API, Kubernetes Solutions will show you first-hand how agile and powerful this container orchestration system is.
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If you want to take your Google Cloud networking skills to the next level, look no further. This course is composed of labs that cover real-life use cases and it will teach you best practices for overcoming common networking bottlenecks. From getting hands-on practice with testing and improving network performance, to integrating high-throughput VPNs and networking tiers, Network Performance and Optimization is an essential course for Google Cloud developers who are looking to double down on application speed and robustness.
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With Google Assistant part of over a billion consumer devices, this quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. You will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required! These labs use the cloud-based Google Assistant simulator environment for developing and testing, but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.
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Welcome to the Friday Speedrun, gamers!
Over a billion: that's how many Google Assistant devices will be out in the world by the end of the year. Want in? Learn to build your own Google Assistant app and win points in today's Qwiklabs game.
Start taking the game labs one by one to score points. Earn the most 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.
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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 advanced-level quest, you will learn the ins and outs of developing GCP applications in Python. The first labs will walk you through the basics of environment setup and application data storage with Cloud Datastore. Once you have a handle on the fundamentals, you will get hands-on practice deploying Python applications on Kubernetes and App Engine (the latter is the same framework that powers Snapchat!) With specialized bonus labs that teach user authentication and backend service development, this quest will give you practical experience so you can start developing robust Python applications straight away.
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Scientists, developers, and other technologists from many different industries are taking advantage of AWS to perform big data analytics and meet the challenges of the increasing volume, variety, and velocity of digital information. AWS offers a portfolio of cloud computing services to help you manage big data by reducing costs, scaling to meet demand, and increasing the speed of innovation. In this quest, you’ll learn to work with advanced services for Big Data.
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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.
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Serverless architectures allow you to build and run applications and services without needing to provision, manage, and scale infrastructure. This quest will show how to design, build, and deploy interactive serverless web applications, using a simple HTML/JavaScript web interface which uses Amazon API Gateway calls to send requests to AWS Lambda backends that query Amazon DynamoDB data.
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In this Quest, you will learn how to write functions with the AWS Lambda Service that respond to events and integrate other AWS Services. You will create applications that write records to Amazon DynamoDB, send messages with Amazon SNS, and monitor events in Amazon CloudWatch and external services. You will even write a back-end function in Lambda for creating a voice-response app for Alexa and the Amazon Echo.
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AWS provides a set of on-demand storage, archive, transcoding, and streaming services for businesses that are running photo, video, and file storage applications in the cloud. In this quest, you’ll learn to work with advanced services for digital media on AWS.
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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified Solutions Architect – Professional Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.
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This quest is designed to teach you how to apply AWS Identity and Access Management, in concert with several other AWS Services, to address real-world application and service security management scenarios.
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In this Quest, you’ll learn to work with services related to Storage and Content Delivery Networks, including Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), and Amazon CloudFront.
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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified Solutions Architect – Associate Exam.
Visit AWS Certification to learn more about this exam and find more resources to prepare.
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AWS offers services that provide businesses with a flexible, highly scalable, and low-cost way to deliver their websites and web applications. In this quest, you’ll learn to work with foundational services for marketing websites on AWS.
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In this quest, you’ll learn to work with services related to Compute and Networking, including Amazon EC2, Amazon Elastic Load Balancing, and Amazon Virtual Private Cloud (VPC).
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In this quest, you’ll learn to work with services related to Deployment and Management, including AWS Identity and Access Management (IAM), AWS Elastic Beanstalk, AWS CloudFormation, and AWS OpsWorks.
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When it comes to hosting websites and web applications, you want a framework that’s robust, fast, and secure. By choosing the Google Cloud Platform, you will have all of those needs covered. In this fundamental-level quest, you will get hands-on practice with GCPs key infrastructure and computing services for the web. From deploying your first web app, to integrating Cloud SQL with Ruby on Rails, to mapping the NYC subway system on App Engine, you will learn all the skills needed to harness GCPs web hosting power.
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In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.
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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.
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Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production frameworks and application environments. From creating instances and querying data with SQL, to building Deployment Manager scripts and connecting Cloud SQL instances with applications run on GKE containers, this quest will give you the knowledge and experience needed so you can start integrating this service right away.
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In this quest, you will learn about Google Cloud’s IoT Core service and its integration with other services like GCS, Dataprep, Stackdriver and Firestore. The labs in this quest use simulator code to mimic IOT devices and the learning here should empower you to implement the same streaming pipeline with real world IoT devices.
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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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Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this fundamental-level quest, you will get hands-on practice with Google Cloud’s Identity and Access Management (IAM) service, which is the go-to for managing user and virtual machine accounts. You will get experience with network security by provisioning VPCs and VPNs, and learn what tools are available for security threat and data loss protections.
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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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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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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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