GCP Essentials
En esta quest de introducción, adquirirá experiencia práctica con los servicios y las herramientas básicas de Google Cloud Platform. La quest GCP Essentials es la más popular de Qwiklabs por muy buenos motivos, ya que otorga experiencia práctica aplicable en cualquier proyecto de GCP a quienes tienen pocos o nulos conocimientos previos sobre la nube. En la quest se ofrece una introducción de primer nivel a las funciones de la plataforma, desde la escritura de comandos en Cloud Shell y la implementación de su primera máquina virtual hasta la ejecución de aplicaciones con balanceo de cargas en Kubernetes Engine.
G Suite Essentials
G Suite is Google's Collaborative Applications platform, delivered from Google Cloud. In this introductory-level quest, you will get hands-on practice with G Suite’s core applications from a user perspective. Although there are many more applications and tool components to G Suite 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.
Kubernetes in the Google Cloud
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.
OK Google: Build Interactive Apps with Google Assistant
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.
Google Kubernetes Engine Best Practices
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.
Google Kubernetes Engine Best Practices: Security
Get Anthos Ready. This second Google Kubernetes Engine-centric Quest of best practices 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.
Baseline: Infrastructure
Si es un desarrollador en la nube novato y desea adquirir experiencia práctica en los principales servicios de infraestructura de GCP, le recomendamos encarecidamente inscribirse en esta quest. Como estudiante, estos labs le brindarán experiencia práctica detallada sobre Cloud Storage, motores de procesamiento como Kubernetes y servicios de aplicaciones clave como Stackdriver y Deployment Manager. Con esta quest, obtendrá habilidades invaluables que podrá aplicar en cualquier proyecto de GCP.
Baseline: Data, ML, AI
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.
NCAA® March Madness®: Bracketology with Google Cloud
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 in the Google Cloud
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.