ATAL FDP GNITC Hyderabad: Deep Learning for Real-World Applications

The ATAL FDP at Guru Nanak Institutions Technical Campus (GNITC), Hyderabad, is an AICTE-sponsored, one-week offline Faculty Development Programme titled “Deep Learning for Real-World Applications: From Fundamentals to Deployment”. Organized by the Department of Computer Science and Engineering, this program equips faculty members with foundational knowledge and practical skills in deep learning technologies.

Programme Highlights

FeatureDetails
Programme NameDeep Learning for Real-World Applications: From Fundamentals to Deployment
Organising BodyDepartment of Computer Science and Engineering, Guru Nanak Institutions Technical Campus (Autonomous)
SponsorAICTE Training and Learning (ATAL) Academy
DurationOne Week (26th – 31st October 2026)*
LocationIbrahimpatnam, Ranga Reddy (District) – 501506, Telangana State

(Note: The brochure mentions two date ranges: 26th-31st October 2026 and 07th-12th September 2026. Please verify the correct dates upon registration.)

About the Programme & Objectives

This FDP focuses on the transformative role of deep learning in addressing complex problems across domains such as healthcare, computer vision, and natural language processing. It bridges the gap between theory and practice by providing hands-on training in neural networks, CNNs, RNNs, LSTMs, and Transformer models. The program emphasizes model deployment and MLOps, enabling participants to transition from model development to production-ready systems.

GNITC, established in 2001 and conferred with Autonomous Status by the UGC, is situated on a sprawling 31.46-acre campus close to the Hyderabad Outer Ring Road. The NAAC-accredited Department of Computer Science and Engineering is supported by well-equipped laboratories featuring advanced instruments. It actively conducts hackathons, workshops, and international conferences to promote academic and research excellence.

Eligibility & Registration

  • Target Audience: Open to Faculty, Research Scholars, PG Scholars, and Industry professionals.
  • Registration Fee: There is No Registration fee to attend this FDP.

Core Themes & Topics

  • Introduction to Artificial Intelligence (AI) and Machine Learning (ML).
  • Fundamentals of Neural Networks & Python Basics for AI.
  • Deep Neural Networks (DNN): Concepts, Architectures, Optimization & Regularization Techniques.
  • Convolutional Neural Networks (CNN): Foundations, Architectures, and Applications in Computer Vision.
  • Recurrent Neural Networks (RNN) and Sequence Modeling.
  • Long Short-Term Memory (LSTM) Networks and their Variants.
  • Transformers, Attention Mechanisms, and Applications in Natural Language Processing (NLP).
  • Model Deployment, MLOps, and Real-world AI Systems.

Eminent Resource Persons

Technical sessions will be conducted by distinguished experts from leading academic and industry organizations:

  • Mitesh M. Khapra (Associate Professor, IIT Madras).
  • Santanu Chaudhury (Professor, Indraprastha Institute of Information Technology Delhi).
  • Dr. Bala Prasad Peddigari (Chief Innovation Officer, TCS Hyderabad).
  • Balaraman Ravindran (Professor, IIT Madras).
  • Mr. Srinivas Taluka (Vice President, Facilities at T-Hub).
  • Dr. Sake Madhu (Professor, Centre of Excellence, AIML).
  • Ponnurangam Kumaraguru (Professor, IIIT Hyderabad).
  • Dr. Geeta Tripathi (Professor, Centre of Excellence, FSD).

How to Apply

  1. Registration must be completed through the official AICTE ATAL portal.
  2. Registration Link: Click Here.

Important Dates

EventDate
Last Date for Registration26th August 2026
Intimation of Shortlisted Candidates28th August 2026

Important Links

ResourceLinks
Apply OnlineClick Here
Download FDP BrochureDownload
Download FDP ScheduleDownload

Contact Details

  • Coordinator: Dr. N. Srihari Rao (Professor) | Mobile: 9985618565 | Email: sriharirao.csegnitc@gniindia.org.
  • Co-Coordinator: Dr. Rishi Sayal (Professor & Associate Director) | Mobile: 8096609846 | Email: ad.rs@gniindia.org.
  • Official Address: Guru Nanak Institutions Technical Campus, Ibrahimpatnam, Ranga Reddy (District) – 501506, Telangana.

FAQs

What is the core focus of the ATAL FDP at GNITC Hyderabad?
The program focuses on deep learning, providing hands-on training on neural networks, CNNs, RNNs, LSTMs, and Transformers, and emphasizing model deployment and MLOps for real-world applications.

Are participants required to pay a registration fee?
No, there is no registration fee to attend this AICTE-sponsored FDP.

Who is eligible to participate in this training program?
Faculty, Research Scholars, PG Scholars, and Industry professionals are eligible to register and participate.

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