This three-day hands-on course is designed to an intensive overview of the key features of the Google Cloud Platform (GCP) by introducing concepts from three main topic areas: IaaS, Application Services, and Big Data features.
Day one introduces the foundational infrastructure services offered by GCP. Attendees will learn how to work with cloud compute instances, block storage devices and virtual networks. Day two builds upon day one by adding discussion and lab work around application support services, from App Engine and Container Engine to global DNS services and Cloud CDN (content delivery network) features. The last day focuses on the big data and machine learning services offered by GCP; the topics examined include Big Query, Cloud Dataproc, both batch and stream-based machine learning, and analytics processing solutions. Upon completion, attendees will have the knowledge and skills necessary to begin planning moves to and working with services on, the Google Cloud Platform.
Available for Instructor-Led (ILT) in-person/onsite training or Virtual Instructor-Led training (VILT) delivery; Open Enrollment options may be available.
Who Should Attend
Developers, DevOps, Information Technology (IT) and Quality Assurance (QA) Staff, Architects and Technical Managers
What Attendees will learn
This three day hands-on course is designed to provide technology professionals with an intensive overview of the key features of the Google Cloud Platform (GCP).
- GCP Infrastructure as a Service (IaaS): virtual machines, storage, networking
- Application services in GCP: App Engine, Container Engine, Cloud Functions, load balancers, Cloud Endpoints, databases
- GCP big data and machine learning : Big Query, Cloud Dataproc, cloud data flow stream analytics
General technology background. Each attendee must have a laptop with internet access and the ability to run a 64 bit virtual machine to complete the lab assignments. The GCP based lab environment is provided by RX-M.