DEPRECATED Application Development - Java
Earned 9월 22, 2019 EDT
Scientific Data Processing
Earned 8월 30, 2019 EDT
Machine Learning APIs
Earned 8월 25, 2019 EDT
[DEPRECATED] Data Engineering
Earned 8월 16, 2019 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned 8월 2, 2019 EDT
Advanced ML: ML Infrastructure
Earned 8월 1, 2019 EDT
Google Cloud Solutions II: Data and Machine Learning
Earned 6월 20, 2019 EDT
Data Science on Google Cloud: Machine Learning
Earned 6월 15, 2019 EDT
Data Science on Google Cloud
Earned 6월 11, 2019 EDT
Baseline: Data, ML, AI
Earned 6월 10, 2019 EDT
Google Kubernetes Engine Best Practices: Security
Earned 6월 8, 2019 EDT
Security & Identity Fundamentals
Earned 6월 2, 2019 EDT
Compute & Networking
Earned 6월 1, 2019 EDT
Deprecated Kubernetes Solutions
Earned 5월 30, 2019 EDT
GCP Essentials
Earned 5월 23, 2019 EDT
Google Cloud의 Kubernetes
Earned 5월 23, 2019 EDT
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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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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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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Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, 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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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 quest, 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? 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.
자세히 알아보기
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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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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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, GCP has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning at scale and how to employ the advanced ML infrastructure available on GCP.
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In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
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This is the second of two Quests of hands-on labs 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 second Quest, covering chapter 9 through the end of the book, you extend the skills practiced in the first Quest, and run full-fledged machine learning jobs with state-of-the-art tools and real-world data sets, all using Google Cloud tools and services.
자세히 알아보기
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.
자세히 알아보기
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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Get Anthos Ready. This Google Kubernetes Engine-centric quest of best practice hands-on labs focuses on security at scale when deploying and managing production GKE environments -- specifically role-based access control, hardening, VPC networking, and binary authorization.
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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. 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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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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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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가장 인기 있는 이 탐구 과정에서 Google Cloud를 처음으로 실습할 수 있습니다. Stackdriver 및 Kubernetes의 고급 개념으로 실습하여 VM 가동, 키 인프라 도구 구성과 같은 기본사항을 익혀 보세요.
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강사가 1일 동안 직접 강의하는 본 강좌는 수강생들에게 도커 컨테이너에서의 작업, 해당 작업을 Google Kubernetes Engine에서 제공하는 쿠버네티스 클러스터로 배포하는 방법 및 증가한 트래픽에 대처할 수 있게 스케일링 하는 방법에 대해 다룹니다. 수강생은 또한 애플리케이션 업데이트에 따라 지속적으로 쿠버네티스 클러스터로 새로운 코드를 배포하는 방법에 대해서 배우게 됩니다
Cloud Engineering
Earned 1월 31, 2020 EST
Cloud Development
Earned 9월 24, 2019 EDT
DEPRECATED Application Development - Java
Earned 9월 22, 2019 EDT
Scientific Data Processing
Earned 8월 30, 2019 EDT
Machine Learning APIs
Earned 8월 25, 2019 EDT
![[DEPRECATED] Data Engineering 배지](https://cdn.qwiklabs.com/%2BCsWnL49dO1EiQScypoKfAJdI8oWEgDWqu5PBt%2FWepc%3D)
[DEPRECATED] Data Engineering
Earned 8월 16, 2019 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned 8월 2, 2019 EDT
Advanced ML: ML Infrastructure
Earned 8월 1, 2019 EDT
Google Cloud Solutions II: Data and Machine Learning
Earned 6월 20, 2019 EDT
Data Science on Google Cloud: Machine Learning
Earned 6월 15, 2019 EDT
Data Science on Google Cloud
Earned 6월 11, 2019 EDT
Baseline: Data, ML, AI
Earned 6월 10, 2019 EDT
Google Kubernetes Engine Best Practices: Security
Earned 6월 8, 2019 EDT
Security & Identity Fundamentals
Earned 6월 2, 2019 EDT
Compute & Networking
Earned 6월 1, 2019 EDT
Deprecated Kubernetes Solutions
Earned 5월 30, 2019 EDT
GCP Essentials
Earned 5월 23, 2019 EDT
Google Cloud의 Kubernetes
Earned 5월 23, 2019 EDT