Punjab Technical University alliance with IBM (International Business Machines) aims to coach and build a skilled resource base on leading software technologies to desired and interested candidates.

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Jalandhar: Punjab Technical University is likely to conduct a series of Faculty Development Programmes (FDP) across its affiliate colleges, after a Memorandum of understanding (MoU) was signed between IBM Academic Initiative (AI) and the varsity on Wednesday.
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 To begin with, about 100 faculty members have already been trained on DB2 technologies and, in turn, will extend the knowledge to students at their respective colleges. The partnership aims to train and build a skilled resource base on leading software technologies relevant to the marketplace.

PTU alliance with IBM (International Business Machines) aims to coach and build a skilled resource base on leading software technologies to desired and interested candidates.
PTU Vice-Chancellor Dr Rajneesh Arora said that this partnership was aimed at making faculty and students familiar with IBM technologies in pursuit of their academic excellence. "This initiative is focused at taking industry relevant technology to the doorsteps of prospective technocrats to bridge the gap in technical expertise of prospective IT workforce," he said .
This collaboration will benefit all the students in the university. This software technology will be helpful to around 1500 students in their professional lives. The development program will cover all affiliated colleges of PTU and extended to students across all the colleges of PTU, said a university spokesperson.
Karthik Padmanabhan, country manager, ISV & developer relations, IBM India, said, "This partnership aims to bridge the academia-industry gap by training the faculty and students on cutting edge software tools and technologies. The ongoing series of faculty development programs will ensure smoother knowledge transition to students."
IBM DB2 is a relational model database server developed by IBM. DB2 also powers the IBM Info Sphere Warehouse edition, which is basically DB2 LUW with DPF (Database Partitioning Feature), a massive parallel share-nothing data warehousing architecture.