Serverless Framework Training in North Carolina

Serverless Framework Training in North Carolina

Online or onsite, instructor-led live Serverless Framework training courses demonstrate through interactive hands-on practice how to use Serverless Framework to create and deploy microservice applications.

Serverless Framework training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. North Carolina onsite live Serverless Framework trainings can be carried out locally on customer premises or in NobleProg corporate training centers.

NobleProg -- Your Local Training Provider

 NC, Charlotte - Charlotte City Center
Learn Serverless Framework in our training center in North Carolina. The venue is located just next door to the First United Methodist Church and across the street from Woodie's Auto Service. Read more
 NC, Raleigh - Glenwood South
Learn Serverless Framework in our training center in North Carolina. Read more
 NC, Chapel Hill - Chapel Hill - Downtown
Learn Serverless Framework in our training center in North Carolina. The venue is located off of Raleigh Road in the same building as Charles Schwab and next door to the Walgreens Pharmacy. Read more
NC, Cary - Regency Pkwy
Learn Serverless Framework in our training center in North Carolina. The venue is located in the vicinity of the Extended Stay America Hotel Raleigh, right next to the Exxon Mobil gas station, in the same building as Charles Schwab. Read more

Serverless Framework Course Events - North Carolina

Serverless Framework Course Outlines in North Carolina

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview

This instructor-led, live training in North Carolina (onsite or remote) is aimed at developers who wish to use Serverless Framework on AWS and other cloud platforms to create and deploy microservice applications.

By the end of this training, participants will be able to:

  • Set up Serverless Framework to work with compute services such as AWS Lambda.
  • Reduce the complexity and cost of deploying microservices on different cloud platforms.
  • Emit and capture events and execute functions automatically.
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