Microsoft Azure Infrastructure Solutions or Google Cloud Solution Architect
A program that prepares individuals to apply programming and systems analysis principles to the selection, implementation, and troubleshooting of customized computer and software installations across the life cycle. Includes instruction in computer hardware and software; compilation, composition, execution, and operating systems; low- and high-level languages and language programming; programming and debugging techniques; installation and maintenance testing and documentation; process and data flow analysis; user needs analysis and documentation; cost-benefit analysis; and specification design. If you choose Google Cloud you will learn: Understand the core tenets to be considered when designing & deploying to a cloud Use the Google Cloud Platform Console to create and manage multiple projects Use service accounts and permissions to share view-level access between projects Create Google Compute Engine instances Create a non-default network and review your network configuration Compare default and non-default networks Create firewall rules with and without tags Create and use a customized Compute Engine image Set authorization scopes for a Compute Engine instance Reserve an external IP address for an instance Snapshot a Compute Engine instance Snapshot a data disk Create an image using a boot persistent disk Upload an image to Google Container Registry Create a Compute Engine instance group with instances Create a Cloud SQL instance using the Cloud SDK Deploy and test a web application Add instance and project metadata Query instance and project metadata using the Cloud SDK Create an instance using a startup script in metadata and Google Cloud Storage Create an instance with a shutdown script and install the Cloud Logging agent Use the API Explorer to query an API request Run sample code that uses the Google API Client Library Test and build a container that uses the Cloud SQL APIs Create an instance template and managed instance group. Configure a managed instance group for auto scaling Create multiple auto scaled managed instance groups Configure fault-tolerant HTTP load balancing Test health checks for use with HTTP load balancing Manage application deployment using Jinja and Python templates with Google Cloud Deployment Manager Delete Google Cloud Platform projects and resources If you select, Microsoft Azure, you will learn: Implement websites and web apps Implement virtual machine workloads, networks, images, disks, and storage Configure, deploy, manage, and monitor cloud services Implement blobs, Azure files, SQL databases, and recovery services Implement an Azure Active Directory and integrate apps.
http://www.comnetgroup.com
2005
1:10
Associate's Degree
$6230.00
All Student Program Completed Rate
All Student Credential Attainment Rate
All Student Employment Rate During 2nd Quarter After Exit
All Student Employment Rate During 4th Quarter After Exit
All Student Median Earnings in Employment During the 2nd Quarter After Exit
WIOA Participant Program Completion Rate
WIOA Participant Credential Attainment Rate
WIOA Participant Employment Rate During 2nd Quarter After Exit
WIOA Participant Employment Rate During 4th Quarter After Exit
WIOA Participant Median Earnings in Employment During the 2nd Quarter After Exit
NOTE: "N/A" indicates that there is insufficient data and/or a program served fewer than ten WIOA students to calculate the performance measures at this time.