ATAL FDP St. Michael Polytechnic College

The ATAL FDP St. Michael Polytechnic College invites applications for a National Level Faculty Development Program. Organized by the Department of Computer Engineering under the AICTE Training and Learning Academy, this offline training explores Cognitive Industrial IoT and Cyber-Physical Systems. The program offers fully funded participation, providing free refreshments and a recognized certification upon successful evaluation. Eligible postgraduate scholars, faculty members, and industry professionals can enhance their technical acumen through this specialized curriculum.

Programme Highlights

Organising Body	Mode	Duration	Location or Platform
Department of Computer Engineering, St. Michael Polytechnic College	Offline	One Week	Kalayarkoil, Tamil Nadu

About the Programme

The ATAL scheme actively fosters excellence in technical education, research, and innovation while encouraging entrepreneurship in cutting-edge fields. Notably, this specific curriculum introduces academic and industry researchers to quantum information, computation, and advanced cognitive systems. Furthermore, it addresses the critical transition from Industry 4.0 to Industry 5.0 by focusing on the data-driven evolution of complex cyber-physical architectures.

Established in 2008, the host institution operates as an AICTE-approved and ISO 9001:2008 certified organization. Consequently, the Department of Computer Engineering equips participants with state-of-the-art computing facilities to help them acquire vital global competencies. As academic institutions adapt to modern manufacturing demands, the ATAL FDP St. Michael Polytechnic College delivers essential frameworks for researchers aiming to master predictive maintenance and deep learning applications.

Eligibility Criteria

• Academic Qualification
  • Applicants must be postgraduate scholars, research scholars, or faculty members.
  • Candidates must hold affiliation with an AICTE-approved institution.
• Experience & Other Conditions
  • Industry personnel actively working in relevant sectors hold eligibility to apply.
  • Organizers limit the maximum intake to exactly 50 participants.

Benefits & Funding

This training provides essential academic and logistical support to all confirmed participants.

Component	Amount or Detail
Registration Fee	No registration fee required
Meals	Refreshments and lunch provided free of cost
Certification	Awarded upon achieving at least 70% cumulative evaluation weightage

Topics / Themes Covered

• Evolution from Industry 4.0 to Industry 5.0 and the active role of Cognitive Systems.
• Cyber-Physical Systems (CPS) Architecture spanning Connection, Conversion, Cyber, Cognition, and Configuration levels.
• Smart Sensors and Actuators integrating MEMS and Piezoelectric sensors in CNC/3D Printing.
• High-Frequency Data Acquisition (DAQ) for thermal, acoustic, and vibration monitoring.
• Edge computing implementations designed to reduce latency in critical CPS environments.
• Signal Processing in Python utilizing Kalman Filters and Wavelet Transforms for noise filtering.
• Supervised and Unsupervised Learning techniques applied to Predictive Maintenance.
• Deep Learning in Manufacturing using CNNs for visual inspection and RNNs/LSTMs for RUL prediction.
• Digital Twin Frameworks synchronizing physical assets with their corresponding virtual models.
• Reinforcement Learning utilized for autonomous system configuration and energy optimization.
• Cybersecurity protocols in IIoT protecting the attack surface of connected factories.
• Quantum information and computation encompassing theoretical and experimental fundamentals.

Selection Process

• The committee selects candidates strictly on a first-cum-first-serve basis.
• Organizers immediately notify confirmed candidates upon successful screening.
• Evaluators calculate final certification eligibility using an objective assessment carrying a 10% weightage.
• Participants must submit a two-page article summary contributing a 30% evaluation weightage.
• Instructors grade the output of practical sessions for a 15% weightage.
• Candidates must deliver an industrial visit report for a 10% weightage.
• Attendees compile a reflection journal at the final session holding a 15% weightage.

How to Apply

1. Navigate directly to the official AICTE ATAL portal.
2. Complete the compulsory registration form using precise academic and professional details.
3. Submit the application and await confirmation regarding your selection status.

Important Dates

Event	Date
Start Date	Jul 13, 2026
Last Date	Jul 18, 2026

Important Links

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

Contact Details

• Principal & Coordinator: Prof. N. Mahendran | 9659633440 | malayalathamahendran@gmail.com
• Head of Department & Co-Coordinator: Mr. A. Ashok | ashok.ayyanar@gmail.com
• Official Address: St. Michael Polytechnic College, Kalayarkoil, Tamil Nadu – 630551

FAQs

Q1: Who is eligible to attend the ATAL FDP St. Michael Polytechnic College?
A1: Postgraduate scholars, research scholars, faculty members from AICTE-approved institutions, and industry personnel qualify to apply.

Q2: Does the organizing committee charge any application fee?
A2: No, participants pay zero registration fees, and the organizers provide free lunch and refreshments.

Q3: How do the organizers select candidates for this program?
A3: The evaluation committee finalizes selections on a first-cum-first-serve basis, admitting a maximum of 50 candidates.

Q4: What attendance threshold must candidates maintain?
A4: Participants must record a minimum of 80% attendance to secure their certification eligibility.

Q5: Where can candidates submit their applications?
A5: Applicants must compulsorily register their details online via the official AICTE ATAL portal.