ATAL FDP Mahendra Institute of Technology

The ATAL FDP Mahendra Institute of Technology invites applications for a six-day offline training program focusing on Next-Gen Intelligent Systems. Organized by the Department of Mechanical Engineering and sponsored by the AICTE ATAL Academy, this initiative equips attendees with advanced knowledge in IoT, machine learning, and quantum computing. Furthermore, the fully funded program provides free registration alongside comprehensive hands-on lab sessions for eligible participants. Assistant Professors, Associate Professors, and Ph.D. scholars from AICTE-recognized institutions must submit their online applications before the final deadline.

Programme Highlights

Organising BodyModeDurationLocation
Department of Mechanical Engineering, Mahendra Institute of TechnologyOffline6 DaysNamakkal, Tamilnadu

About the Programme

The AICTE Training and Learning (ATAL) Academy actively focuses on increasing the knowledge and skills of academic professionals, enabling them to acquire vital global competencies. Consequently, this specialized training addresses the growing necessity for academic expertise in smart manufacturing, digital twins, and autonomous systems aligned with sustainable Industry 5.0 frameworks. Furthermore, participants gain substantial exposure to interdisciplinary research opportunities, enabling improved decision-making and intelligent automation within modern industrial ecosystems. Notably, the ATAL FDP Mahendra Institute of Technology strictly bridges theoretical learning with practical deployment through expert-led sessions and hands-on labs.

Established in 1978 by the Mahendra Educational Trust, the host institution operates with the noble aspiration of educating underprivileged sections of society. Mahendra Institute of Technology, established in 2009, functions as an autonomous, AICTE-approved institution accredited with a NAAC ‘A’ grade. Moreover, the college features well-equipped laboratories and highly qualified faculty who regularly facilitate professionals and students in cutting-edge research programs.

Eligibility Criteria

  • Academic Qualification
    • Assistant Professors and Associate Professors employed at AICTE-recognized universities and engineering colleges hold eligibility to apply.
    • Ph.D. scholars actively pursuing their research qualify for this professional development program.
  • Experience & Other Conditions
    • The official document does not mandate specific prior industry experience; candidates must meet the academic role criteria.

Benefits & Funding

The organizing committee ensures highly accessible participation through full sponsorship by the AICTE ATAL Academy.

ComponentAmount or Detail
Registration FeeFree for all selected participants

Topics / Themes Covered

  • Introduction to foundational concepts of Industry 4.0 and Industry 5.0.
  • Industrial IoT (IIoT) and smart manufacturing methodologies.
  • Integration of IoT and Machine Learning (AIoT) for robust industrial applications.
  • Future trends concerning the critical convergence of IoT, AI, and Quantum Computing.
  • Data acquisition techniques and Edge Computing frameworks within modern IoT systems.
  • Advanced machine learning and artificial intelligence implementation techniques.
  • Fundamentals of Quantum Computing and Quantum Machine Learning for industrial optimization.

Selection Process

  • The organizing committee screens all applications submitted via the standard ATAL portal based on academic eligibility.
  • Evaluators require candidates to complete a Multiple Choice Question (MCQ) assessment on the final day of the program.
  • Participants must compile and submit a comprehensive reflection journal before the valedictory session to finalize their certification evaluation.

How to Apply

  1. Navigate directly to the official AICTE ATAL registration portal.
  2. Complete the mandatory profile registration using accurate academic and professional credentials.
  3. Search for the ATAL FDP Mahendra Institute of Technology utilizing the specific FDP Application Number: 1775626166.
  4. Submit your formal application well before the scheduled commencement of the offline sessions.

Important Dates

EventDate
Programme Start Date20-07-2026
Programme End Date25-07-2026

Important Links

ResourceLink
Apply OnlineClick Here
Download FDP BrochureDownload
Download FDP ScheduleDownload

Contact Details

  • Coordinator: Dr. L. Selvarajan (Professor, Dept. of Mech) | selvarajanl@mahendratech.org
  • Co-Coordinator: Mr. C. Arun (Assistant Professor, Dept. of Mech)
  • Official Address: Mahendra Institute of Technology (Autonomous), Mallasamudram, Namakkal, Tamilnadu – 637503, India

FAQs

Q1: Who is eligible to attend the ATAL FDP Mahendra Institute of Technology?
A1: Assistant Professors, Associate Professors, and Ph.D. scholars originating from AICTE-recognized universities and engineering colleges hold full eligibility to apply.

Q2: What is the primary academic focus of this training?
A2: The curriculum effectively integrates IoT, Machine Learning, and Quantum Computing to explore advanced smart manufacturing within Industry 4.0 and 5.0 frameworks.

Q3: Does the organizing committee charge any application fee?
A3: No, the AICTE ATAL Academy fully sponsors the initiative, ensuring completely free registration for all participants.

Q4: Will the program provide practical or industrial exposure?
A4: Yes, the six-day schedule includes daily hands-on lab training sessions and a scheduled industrial visit to facilities such as MilkyMist or the Salem Steel Plant.

Q5: How will the instructors evaluate the participants?
A5: Attendees must successfully complete a multiple-choice question (MCQ) assessment and submit a reflection journal on the concluding day to finalize their evaluation.

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