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Certificate in Cloud Computing

Classroom | Downtown Seattle | Autumn 2012


Approved by the UW Department of Computer Science & Engineering and under the guidance of the eScience Institute.

Gain an in-depth understanding of cloud computing models, applications, platforms, infrastructures and technologies. Acquire a market overview of cloud providers including Amazon Web Services, Microsoft Azure, Google App Engine, and more. Understand the decision-making process for adopting a cloud migration strategy. Learn how to use technologies and development tools (including Eclipse and other IDEs, Heroku, Force.com and Elastic Beanstalk) for cloud application building. Work on projects using frameworks like Hadoop and MapReduce, which enable massive scalability for processing and analyzing large data sets. Learn from guest speakers that range from engineers at startups to enterprise IT managers.

QUICK FACTS

Status:Open
Start Date:Oct 8, 2012
Duration:9 months
Learning Format:Classroom
Location:Downtown Seattle
Courses in Program:3
Total Cost of Courses:$2,775
Program ID:3993

What the Program Covers

  • Hands-on experience working with services from major cloud vendors to organize IT resources, build applications and manage data
  • Flexibility as needed between attending classes online or in the classroom
  • Guest speakers from companies offering cloud services and/or using cloud strategies in their business model
  • Cloud computing models: software as a service (SaaS), platform as a service (PaaS), infrastructure as a service (laaS) and database as a service
  • Advanced topics including database query optimization, consideration of NoSQL solutions, memory caching, fault tolerance and disaster recovery

Benefits

You will acquire a core understanding of terminology, motivation and technology associated with cloud computing through hands-on experience working with services from major cloud vendors to organize IT resources, build applications and manage data.

Experience Level

Some Experience

Who Should Apply

  • Software and business application developers
  • Web developers
  • Individuals interested in writing scalable applications for business analytics or large data set processing
  • SAS or R programmers
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