In this introductory-level quest, you will get hands-on practice with the Google Cloud Platform’s fundamental tools and services. GCP Essentials is the recommended first Quest for the Google Cloud learner—you will come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first GCP project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, GCP Essentials is a prime introduction to the platform’s basic features. 1-minute videos walk you through key concepts for each lab.
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. As an optional final step, you can take the Certification Exam Practice lab, and see the kinds of practice questions and performance-based scenarios are part of the forthcoming G Suite Certification exam.
This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics and gain insights from data, and develop with pre-trained ML APIs to leverage machine learning event if you are not a Machine Learning expert.You will also experience seamless integration between various Google services and APIs to create intelligent apps.
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. 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.
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.
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.
The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art for 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 GCP from beginning to end. Labs in the sequence with application code are presented in two language flavors, Java and Python. 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.
This fundamental-level quest is unique amongst the other Qwiklabs 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 GCP 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.