この入門レベルのクエストでは、Google Cloud Platform の基本的なツールやサービスに関する実践演習を行います。「GCP の基礎」は Qwiklabs で特に人気のあるクエストですが、それはクラウドの予備知識がほとんどなくても、あらゆる GCP プロジェクトに応用できる実際的な経験を積めるからです。「GCP の基礎」では、Cloud Shell コマンドの記述、初めての仮想マシンのデプロイ、Kubernetes Engine 上でのアプリケーション実行と負荷分散など、Google Cloud Platform の主な機能を紹介します。
Kubernetes is the most popular container orchestration system and the Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in the Google Cloud. In this advanced-level quest, you will get hands-on practice configuring Docker images and 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.
With Google Assistant expected to be part of over a billion consumer devices by the end of this year, 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. Over the course of 5 labs, 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.
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. These Google Kubernetes Engine-centric best practices will get you started containerizing to modernize in place , and then managing automated policies and security at scale -- key benefits when deploying production GKE environments -- including access control, monitoring, tracing, and logging.
初心者のクラウド デベロッパーの方におすすめの、GCP のコア インフラストラクチャ サービスに関する実践演習を含むクエストです。Cloud Storage、コンピューティング エンジン（Kubernetes など）、主要なアプリケーション サービス（Stackdriver、Deployment Manager など）について詳しく説明するラボを通じて、実際的な経験を積むことが可能です。あらゆる GCP プロジェクトに応用できる有益なスキルを身に付けられます。
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, GCP provides user-friendly services in these areas and Qwiklabs has you covered with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and Cloud ML Engine. Want extra help? 1-minute videos walk you through key concepts for each lab.
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.
Networking is a principle theme of cloud computing—it’s the underlying structure of GCP and it’s what connects all your resources and services to one another. This fundamental-level quest will cover essential GCP 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 in the Google Cloud will give you the practical experience needed so you can start building robust networks right away.
Want to learn the core SQL and visualization skills of a Data Analyst? Interested on 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.