ATAL FDP SIETK Puttur

The ATAL FDP SIETK Puttur is a short-term, one-week training program focusing on advanced machine learning and deep learning on high-performance computing. Organized by the Department of Computer Science and Engineering at Siddharth Institute of Engineering & Technology, this AICTE-sponsored initiative offers fully funded participation for eligible candidates. Academic faculty, research scholars, and industry professionals from recognized institutions hold eligibility to apply. Interested participants must complete their online registration before the final deadline. Sessions will run from 20 July 2026 to 25 July 2026.

Programme Highlights

Organising Body	Duration	Location
Department of Computer Science and Engineering, SIETK	One Week	SIETK Campus, Puttur

About the Programme

The AICTE Training and Learning (ATAL) Academy actively aims to empower academic faculty by achieving critical goals in higher education, including access, equity, and quality. Consequently, this specialized curriculum addresses the necessity to train the younger generation in advanced AI practices, bridging the significant gap between academia and modern industrial applications. Furthermore, attendees gain expertise in distributed CNN training and scalable data processing, connecting directly with industry experts to address real-world societal problems.

Established in 2001, Siddharth Institute of Engineering & Technology operates as an autonomous, NAAC ‘A+’ accredited institution affiliated with JNTUA. The host Department of Computer Science and Engineering continuously integrates information sciences with practical engineering to evolve as a recognized center of excellence. Therefore, participants benefit from a comprehensive academic environment featuring state-of-the-art infrastructure, enabling the practical implementation of complex machine unlearning and bias mitigation methodologies.

Eligibility Criteria

• Academic Qualification
  • Faculty members actively serving at AICTE-approved institutions or universities qualify for this program.
  • Research scholars pursuing academic studies hold eligibility to apply.
• Experience & Other Conditions
  • Professionals originating from government sectors, industry, and R&D labs may participate.
  • The organizing committee strictly limits the maximum intake to exactly 50 participants.
  • Evaluators will select attendees strictly on a first-come, first-serve basis, giving preference to new participants.

Benefits & Funding

The AICTE ATAL Academy fully sponsors this professional development initiative.

Component	Amount or Detail
Course Fee	No course fee is required for selected participants

Topics / Themes Covered

• Basic deep learning models encompassing CNN, RNN, and GANs.
• Backpropagation utilizing parallel computation and Backpropagation Through Time (BPTT).
• Distributed CNN training deployed on High-Performance Computing (HPC) clusters.
• Machine unlearning techniques including SISA (Sharding, Isolation, Slicing, and Aggregation).
• Neural networks, computational graphs, and the introduction to real signals such as text, speech, image, and video.
• Bias mitigation strategies for responsible AI practices.
• CNN fundamentals, GPU training, and Long Short-Term Memory Networks (LSTM).
• Generative AI alongside foundational Agentic AI concepts.
• Deep learning applications integrated with practical HPC deployment.
• Ethics, human values, fairness, accountability, and transparency in technology.

Selection Process

• The organizing committee reviews all submitted registrations through the central portal.
• Administrators allocate available seats strictly on a first-come, first-serve basis.
• The evaluation panel gives explicit preference to new participants applying for the program.

How to Apply

1. Access the official AICTE ATAL Academy registration portal.
2. Complete the mandatory profile setup by providing accurate academic and professional details.
3. Select the ATAL FDP SIETK Puttur program from the available active courses.
4. Submit the formal application before the allocated maximum capacity fills up.

Important Dates

Event	Date
Programme Start Date	20-07-2026
Programme End Date	25-07-2026

Important Links

Resource	Link
Apply Online	Click Here
Download FDP Brochure	Download
Download FDP Schedule	Download
Official College Website	Click Here

Contact Details

• Coordinator: Dr. D. Nagaraju (Professor, CSE) | 7997564167 | dubisettynagaraju@gmail.com
• Co-Coordinator: Dr. P.M.S.S. Chandu (Professor, CSE) | 9940188591 | Chandupmss@gmail.com
• Official Address: Siddharth Institute of Engineering & Technology, Puttur-517583, Tirupati District, A.P., India

FAQs

Q1: Who is eligible to participate in the ATAL FDP SIETK Puttur?
A1: Faculty members from AICTE-approved institutions, research scholars, government officials, and R&D industry professionals hold eligibility to apply.

Q2: Is there any registration fee for this training program?
A2: No, the organizing committee does not charge any course fee, as the AICTE ATAL Academy fully sponsors the initiative.

Q3: How are candidates selected for the training?
A3: Evaluators finalize selections strictly on a first-come, first-serve basis, actively prioritizing new participants for the 50 available seats.

Q4: What is the primary focus of this curriculum?
A4: The curriculum provides a strong foundation in scalable AI training, high-performance computing, distributed CNNs, and advanced machine learning models for real-world applications.

Q5: How can interested candidates submit their applications?
A5: Applicants must securely complete their registration exclusively through the official AICTE ATAL Academy web portal.