Topics In Demand
Notification
New

No notification found.

Blog
NASSCOM CoE DSAI & FutureSkills Launch Faculty Development Programme in AI

March 26, 2020

AI

524

0


Listen to this article



The advent of emerging technologies is recasting all industries and requires leaders to adopt new capabilities to gain competitive advantage. The Top FIVE Technologies worth investing going forward are as follows:

  1. Internet of Things
  2. Artificial Intelligence and Analytics
  3. 5G Connectivity
  4. Serverless Computing
  5. Blockchain

In the recent times, artificial intelligence has emerged from the confines of scientific labs and found various uses to impact our everyday life. It is expected that the data science and artificial intelligence industry in India (IT and non-IT industries) will be worth US $16 billion by 2025. As per a recent study by NASSCOM, there is a likely shortage of ~2,38,000 data science & artificial intelligence professionals over the next three years in the country.

About FDP

Broadening its resolve to democratize AI learning, the Faculty Development Program offers a comprehensive and a well curated schedule. It aims to provide the faculty in AI with the necessary exposure to real-life business problems by working closely with industry experts and providing access to latest tools and technologies in the AI space. This is a 125 hours of blended learning Program customised for the faculties of future. The focus was to ensure the faculties have enough time for self- paced learning which was approximately 100+ hours. The faculties were given access to NASSCOM’s FutureSkills learning portal for the self-paced learning. Apart from the prescribed program the faculties also had access to short focussed learning nuggets to build familiarity with new topics.

The Faculty Program commenced in the month of September, 2019.

The self- paced learning was divided into 3 areas which were:

1) Foundation

In foundation, broadly topics like Overview of AI, Programming languages (R&Python) and visualization was covered.

2) Core

In Core, Topics like Predictive Modelling, Time series forecasting, Machine Learning and Optimization techniques were covered.

3) Deep learning

In Deep learning, topics like Vision, Speech, and Neural Networks were covered.

Once, the faculty completed the 100+ hours of self-paced learning an assessment was conducted to review and validate the progress of the Faculties. On successful completion of the course, the Faculties were awarded with certification of completion.

Post this, the faculties were exposed to 3 days Industry workshop conducted by an IBM expert in IBM’s India Innovation Centre, Bangalore in the month of January, 2020.

In this workshop, the faculties were exposed to programming concepts, hands on experience working on live data/use cases.

This batch of Faculties had representations from Dayanand Sagar College of Engineering – Computer Science & Engineering and Department of Management Studies, GITAM University, BMS Institute of Technology & Management, Christ University and Dayanand Sagar College of Arts, Science & Commerce.

Please, reach out to Sudeep Kumar Das at Sudeep@nasscom.in who leads the Skilling Initiatives at NASSCOM, DSAI-CoE for further details .We look forward to receiving your nominations for the next batches which would tentatively start in April and November 2020.


That the contents of third-party articles/blogs published here on the website, and the interpretation of all information in the article/blogs such as data, maps, numbers, opinions etc. displayed in the article/blogs and views or the opinions expressed within the content are solely of the author's; and do not reflect the opinions and beliefs of NASSCOM or its affiliates in any manner. NASSCOM does not take any liability w.r.t. content in any manner and will not be liable in any manner whatsoever for any kind of liability arising out of any act, error or omission. The contents of third-party article/blogs published, are provided solely as convenience; and the presence of these articles/blogs should not, under any circumstances, be considered as an endorsement of the contents by NASSCOM in any manner; and if you chose to access these articles/blogs , you do so at your own risk.


© Copyright nasscom. All Rights Reserved.