Organizations gain a competitive edge from DevOps by being able to develop and enhance products more quickly. Teams are able to have quicker development cycles, lower implementation errors, and generally improve team communication when operations and development are combined.

Today’s AI relies on open source and sometimes unstable code that can disrupt the productivity of your data science team. AI Research Lab DGX Station provides students with rapid response, timely issue resolution, and world-class AI expertise, ensuring  students can get the most out of your AI investment. With this can focus on innovation, instead of wasting time troubleshooting software and hardware stacks.

The lab intends to give students the opportunity to work on the structure and component parts of frameworks for developing mobile applications for Windows OS and Android-based smartphones. a working knowledge of the major mobile application development frameworks is also necessary.

Data science & Analytics lab focuses on methods, processes, algorithms and systems to extract knowledge or insights from data in various forms, either structured or unstructured. It also aims at giving exposure to students regarding analysing large-scale text streams such as news, blogs, and social media to identify trends by using Open Source Frameworks available to identify trends by using Open Source Frameworks available.

IoT and Big Data have been the talk of the IT industry for a while, and they are now essential technologies rather than just "nice to haves." Organizations are under pressure to accept big data, which has greatly increased the usage of big data analysis over the past few years. As a result, businesses are also quickly realising what they need for it.

Structured and Object Oriented Programming Lab emphasises to familiarise students with the logic of structured and object oriented programming approach. It also aims at providing exposure in developing algorithm, flowchart and thereby writing efficient codes for user defined problem.