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NIT Warangal Invites Applications for FDP on Artificial Intelligence

NIT Warangal is now accepting applications from interested faculty and participants for a 10-day online Faculty Development Program (FDP) on “AI and Machine Learning for Biomedical Applications.” The Department of Biotechnology and the Department of Computer Science and Engineering is organizing the course. 

The Faculty Development Programme will help disseminate the knowledge in AI, machine learning, and neural networks with python for Biomedical Applications. It empowers the participants to understand how they can use AI to innovate and improve medical-related applications. 

Machine learning is a fast-growing field of artificial intelligence concerned with studying and designing computer algorithms for learning good representations of data at multiple levels of abstraction. Since data is overwhelming, organizations struggle to extract the powerful insights they need to make smarter business decisions. The FDP program will train the participants with a hands-on approach that’ll provide an in-depth understanding of the domain of AI & ML and expose them to feasibility & future scope.

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The faculty members from NIT Warangal will conduct the program. Industry experts and academicians from IITs/NITs/IIITs are invited to deliver lectures as well. Selection for the FDP on AI and machine learning for Biomedical Applications will be on a first-come-first-serve basis. Interested faculty and working professionals can find the form here.

The maximum number of seats for the program is 60, and there are ten seats allotted to participants from the industry. NIT Warangal will intimate the list of selected participants through e-mail, and the DD will be sent back if a candidate is not selected. All the participants will be issued satisfactory certificates on successful completion of the course. The selection committee will follow reservations as per GOI norms.

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Osheen Jain
Osheen Jain
Osheen is a Content Writer with over eight years of experience in different facets of Content Marketing. She is passionate about content creation and spends her time writing and strategizing content.


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