Today, your enterprise may be generating, compiling, and analyzing massive amounts of data, much of it in the cloud. But are you gaining the full value of these efforts? Do you understand the implications of data analytics your company is collecting? Is your data secure? And do your IT and other technical professionals possess the skills to keep up with — and make the most of — constantly evolving computing technologies, so they can effectively manage it all?
To ensure that your company's data gives you useful and secure insights, your IT staff needs a solid understanding of cloud computing, mobile security, and data analytics. This 3-course, 9-credit Certificate of Completion in Emerging Computing Technologies is available completely online, providing your personnel access to rich, interactive, instructor-led curriculum, coupled with peer-to-peer engagement. Your staff will gain hands-on, advanced, business-critical skills needed to leapfrog into the cloud.
Courses taken under this program are for credit and can be transferred toward a qualifying master’s degree at NYU Tandon School of Engineering. All three courses are required to obtain the certificate.
Mobile devices have outnumbered computers worldwide. Since smartphones and tablets provide convenient anytime, anywhere access to the Internet, useful apps, and communications capabilities like voice, chat, and email, they have become enticing targets for cybercriminals. The course will explore the growing threat to mobile devices, networks, and services delivered over mobile infrastructure.
Big data requires the storage, organization, and processing of data at a scale and efficiency that go well beyond the capabilities of conventional information technologies. This course will review state-of-the-art big data analytics, including various platforms, models, and languages, as well as applications that perform massive data analysis and how they can be implemented on big data platforms. Topics will include: MapReduce/Hadoop, NoSQL stores, languages such as Pig Latin and JAQL, large-scale data mining, and visualization. The course will primarily consist of technical readings and discussions; it will also include programming projects where participants will prototype data-intensive applications using existing big data tools and platforms.
This course is designed to provide participants with significant knowledge about how to use a cloud, write cloud applications, and build their own private cloud. Both Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) cloud technologies and concepts will be covered. The first part of the course will review basic building blocks such as virtualization technologies, virtual appliances, automated provisioning, elasticity, and cloud monitoring, with participants using and extending capabilities available in real clouds such as Amazon AWS, Google App Engine, and OpenStack. The second part will cover more advanced topics, with emphasis on ultralarge scale systems, computation models, and storage for big data. Topics will include storage cloud, cloud security, Hadoop for big data, and software-defined networking. Participants will gain hands-on experience with several real-world applications and research innovations including Facebook Cassandra, Amazon Dynamo, Google Big Table, Hadoop HDFS, and Yahoo Zookeeper.
This program is designed for professionals with a technical background, including the following:
Courses are offered starting in January, May and September. Inquire with our Enterprise Learning Department on how your employees can participate.