Intro to ML: Image Processing
Earned Jan 5, 2020 EST
BigQuery Basics for Data Analysts
Earned Jan 4, 2020 EST
DEPRECATED Application Development - Java
Earned Jan 3, 2020 EST
Cloud Development
Earned Jan 3, 2020 EST
Workspace Essentials
Earned Jan 3, 2020 EST
Intro to ML: Language Processing
Earned Des 30, 2019 EST
Cloud Engineering
Earned Des 30, 2019 EST
Exploring APIs
Earned Des 29, 2019 EST
Cloud Architecture
Earned Des 28, 2019 EST
Cloud Hero: Application Development
Earned Des 5, 2019 EST
Kubernetes in Google Cloud
Earned Sep 11, 2019 EDT
Networking Fundamentals in Google Cloud
Earned Mar 22, 2019 EDT
Baseline: Data, ML, AI
Earned Mar 22, 2019 EDT
Baseline: Infrastructure
Earned Mar 21, 2019 EDT
Google Cloud Essentials
Earned Mar 21, 2019 EDT
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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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 this advanced-level quest, you will learn the ins and outs of developing GCP applications in Java. 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 Java 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 Java applications straight away.
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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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Workspace (formerly G Suite) is Google's collaborative applications platform, delivered from Google Cloud. In this introductory-level quest, you will get hands-on practice with Workspace’s core applications from a user perspective. Although there are many more applications and tool components to Workspace than are covered here, you will get experience with the primary apps: Gmail, Calendar, Sheets and a handful of others. Each lab can be completed in 10-15 minutes, but extra time is provided to allow self-directed free exploration of the applications.
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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 quest, 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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Quest level dasar ini berbeda dengan penawaran Qwiklabs lainnya. Semua lab yang termasuk dalam level ini telah diseleksi untuk membekali profesional IT dengan praktik langsung tentang berbagai topik dan layanan yang diujikan dalam Sertifikasi Google Cloud Certified Associate Cloud Engineer. Dari IAM, hingga jaringan, dan penerapan Kubernetes Engine, quest ini tersusun atas sejumlah lab spesifik yang akan menguji pengetahuan Anda tentang GCP. Harap diketahui bahwa, meskipun praktik dengan lab ini akan meningkatkan keterampilan dan kemampuan Anda, sebaiknya Anda juga mempelajari panduan ujian serta referensi persiapan lain yang tersedia.
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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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Quest level dasar ini berbeda dengan penawaran Qwiklabs lainnya. Semua lab yang termasuk dalam level ini telah diseleksi untuk membekali profesional IT dengan praktik langsung tentang berbagai topik dan layanan yang diujikan dalam Sertifikasi Google Cloud Certified Professional Cloud Architect . Dari IAM, hingga jaringan, dan penerapan Kubernetes Engine, quest ini tersusun atas sejumlah lab spesifik yang akan menguji pengetahuan Anda tentang GCP. Harap diketahui bahwa, meskipun praktik dengan lab ini akan meningkatkan keterampilan dan kemampuan Anda, sebaiknya Anda juga mempelajari panduan ujian serta referensi persiapan lain yang tersedia.
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Have fun with this interesting game and get some hands on Stackdriver, Docker and Python. Challenge yourself to complete each task as quickly and accurately as possible to score points and earn badges!
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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 advanced-level quest, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications. This quest will teach you the practical skills needed for integrating container orchestration into your own workflow. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, finish the additional Challenge Lab at the end of the Deploy to Kubernetes in Google Cloud Quest to receive an exclusive Google Cloud digital badge.
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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 quest 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, Networking Fundamentals in the Google Cloud will give you the practical experience needed so you can start building robust networks right away.
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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 Big Query, Cloud Speech API, and AI Platform. Want extra help? 1-minute videos walk you through key concepts for each lab.
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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this quest is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Stackdriver and Cloud Functions. By taking this quest, 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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Dalam quest level pendahuluan ini, Anda akan mendapatkan praktik langsung dengan aneka fitur dan layanan dasar Google Cloud Platform. Dasar-Dasar GCP adalah Quest pertama yang direkomendasikan bagi peserta kursus Google Cloud—Anda dapat memulai dengan pengetahuan yang minim atau tanpa pengetahuan sama sekali tentang cloud, dan selesai dengan pengalaman praktis yang dapat diterapkan pada project GCP pertama Anda. Mulai dari menulis perintah Cloud Shell dan menerapkan mesin virtual pertama Anda, hingga menjalankan aplikasi di Kubernetes Engine atau dengan load balancing, Dasar-Dasar GCP merupakan pengenalan terbaik pada fitur-fitur dasar platform cloud. Setiap lab disertai video berdurasi 1 menit yang akan memandu Anda memahami berbagai konsep penting.
Intro to ML: Image Processing
Earned Jan 5, 2020 EST
BigQuery Basics for Data Analysts
Earned Jan 4, 2020 EST
DEPRECATED Application Development - Java
Earned Jan 3, 2020 EST
Cloud Development
Earned Jan 3, 2020 EST
Workspace Essentials
Earned Jan 3, 2020 EST
Intro to ML: Language Processing
Earned Des 30, 2019 EST
Cloud Engineering
Earned Des 30, 2019 EST
Exploring APIs
Earned Des 29, 2019 EST
Cloud Architecture
Earned Des 28, 2019 EST
Cloud Hero: Application Development
Earned Des 5, 2019 EST
Kubernetes in Google Cloud
Earned Sep 11, 2019 EDT
Networking Fundamentals in Google Cloud
Earned Mar 22, 2019 EDT
Baseline: Data, ML, AI
Earned Mar 22, 2019 EDT
Baseline: Infrastructure
Earned Mar 21, 2019 EDT
Google Cloud Essentials
Earned Mar 21, 2019 EDT