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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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.
機械学習はもっとも迅速に成長しているテクノロジーの分野です。Google Cloud Platformは、その成長に一役かっています。APIのホストを使うことにより、GCPにはツールがあります。この上級レベルのクエストでは、「Implementing an AI Chatbot with Dialogflow」や「Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API」と同様に機械学習APIについてハンズオンで演習ができます。
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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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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, 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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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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これは2 つ目のクエストで、Google Cloud Platform の Valliappa Lakshmananが O'Reilly Media, Inc. から出版した「Data Science on the Google Cloud Platform」からの派生したラボです。9つのラボで構成され、1つ目のクエストで練習したスキルをさらに伸ばし、最先端で本格的な機械学習を実際的なデータで実行することで、Google Cloud Platformの機能とサービスを堪能していだけます。
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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セキュリティは、Google Cloud のサービスにおける妥協のない機能であり、これを念頭に、 プロジェクトをまたいで安全性を確保し ID を保護するための専用ツールが 開発されています。この入門コースでは、 ユーザー アカウントと仮想マシン アカウントの管理における主要機能である Google Cloud の Identity and Access Management（IAM）サービス の実践演習を行います。VPC と VPN のプロビジョニングを通してネットワーク セキュリティを実際に体験し、セキュリティ 脅威とデータ損失防止に使用できるツールについて学びます。
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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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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.
クラウド エンジニアリング
Earned 1月 31, 2020 EST
Security on AWS
Earned 12月 1, 2019 EST
Cloud Development
Earned 9月 24, 2019 EDT
DEPRECATED Application Development - Java
Earned 9月 22, 2019 EDT
Scientific Data Processing
Earned 8月 30, 2019 EDT
機械学習API
Earned 8月 25, 2019 EDT
[DEPRECATED] Data Engineering
Earned 8月 16, 2019 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned 8月 2, 2019 EDT
Advanced ML: ML Infrastructure
Earned 8月 1, 2019 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned 6月 20, 2019 EDT
Google Cloud Platformでのデータサイエンス：機械学習
Earned 6月 15, 2019 EDT
Data Science on the Google Cloud Platform
Earned 6月 11, 2019 EDT
ベースライン: データ、ML、AI
Earned 6月 10, 2019 EDT
Google Kubernetes Engine のベスト プラクティス: セキュリティ
Earned 6月 8, 2019 EDT
Google Kubernetes Engine Best Practices
Earned 6月 4, 2019 EDT
セキュリティと ID の基礎
Earned 6月 2, 2019 EDT
Websites & Web Apps
Earned 6月 2, 2019 EDT
Compute & Networking
Earned 6月 1, 2019 EDT
Deprecated Kubernetes Solutions
Earned 5月 30, 2019 EDT
Google Cloud Essentials
Earned 5月 23, 2019 EDT
Google Cloud の Kubernetes
Earned 5月 23, 2019 EDT