Hyderabad University Launches Diploma in Artificial Intelligence & Machine Learning

In the inaugural batch of DAI&ML as many as 702 participants have been admitted already. (Representational)

In the inaugural batch of DAI&ML as many as 702 members have been admitted already. (Representational)

The program is for the 12- month length, utterly on-line with few contact lessons on the University of Hyderabad campus or digital mode.

  • New Delhi
  • Last Updated:March 31, 2021, 11:56 IST
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The University of Hyderabad (UoH) and AAIC Technologies have collectively supplied a web based diploma in synthetic intelligence and machine studying. The course will likely be delivered by the Center for Distance and Virtual Learning (CDVL) with the assistance of the school of the School of Computer and Information Sciences (SCIS) and AAIC. The college claims that the Diploma course will provide a “skill-based tailor-made course that can enhance the industry ready abilities among graduates and working professionals”.

In the inaugural batch of DAI&ML as many as 702 members have been admitted already, in accordance with the college. The program is for the 12- month length, utterly on-line with few contact lessons on the University of Hyderabad campus or digital mode, and it may be pursued by each working professionals and college students. The course goals at instructing foundations of machine studying and AI, machine studying, deep studying, Python ML&AI frameworks, and fixing real-world issues utilizing ML&AI.

“So far, AI has primarily been used by the private sectors for commercial usage. The mission of the government is to make AI accessible to all the sectors of society,” stated Dr. V.Ok. Saraswat, a member of the NITI Ayog. He stated that the federal government has determined to concentrate on 5 sectors which might be envisioned to profit essentially the most from AI in fixing societal wants. These sectors embrace healthcare, agriculture, schooling, good cities, and good mobility.

Sarswati stated that by the top of 2035, there will likely be a workflow transition in jobs, which would require a greater steadiness between people and clever techniques.

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