AI and ML in Mechanical Systems and Zeal College of Engineering & Research, Pune (Jan 05, 2026)

Educators, research scholars, and PhD candidates, the convergence of intelligence and machinery is rapidly redefining the global industrial landscape. Consequently, the ATAL Online Faculty Development Programme (FDP) on AI and ML in Mechanical Systems at Zeal College of Engineering & Research, Pune, offers a premier platform to master these transformative technologies. This six-day intensive program is specifically designed to bridge the gap between traditional mechanical engineering and modern computational intelligence. Furthermore, it ensures that participants stay at the forefront of Industry 4.0 by gaining high-demand technical expertise. Moreover, this initiative provides a unique opportunity to interact with industry veterans and distinguished academicians.

Program Highlights

Parameter	Details
Program Title & Code	Artificial Intelligence and Machine Learning in Mechanical Systems
Organizing Institution	Zeal College of Engineering & Research, Pune (ZCOER)
Organizing Department	Department of Mechanical Engineering
Dates & Duration	January 5th to January 10th, 2026 (6 Days)
Mode of Delivery	Online (ATAL Academy Sponsored)
Daily Schedule	Evening Sessions: 6:00 PM to 9:00 PM (IST)

Program Overview

The primary objective of this Faculty Development Program is to empower mechanical engineering educators with the conceptual and practical skills required to apply Artificial Intelligence (AI) and Machine Learning (ML) in teaching and research. In addition, the program aims to provide a strong foundation in predictive maintenance, fault detection, and design optimization. Specifically, by integrating these cutting-edge tools into the curriculum, the institution fosters an interdisciplinary environment that aligns with global industrial demands. Therefore, the program serves as a catalyst for academic innovation and professional growth.

Specifically, the program targets:

• Faculty members from AICTE-approved institutions.
• Industry experts and technical professionals.
• Research scholars and Post-Graduate (PG) students.

Eligibility Criteria

To ensure a high standard of academic discourse, the program is open primarily to teaching professionals and researchers associated with AICTE-approved colleges. In addition, industry personnel and staff from the host institution are encouraged to apply. However, participation is mandatory through the official ATAL Academy portal to ensure standardized certification and tracking. Similarly, applicants should possess a basic understanding of engineering mathematics to fully benefit from the technical sessions.

Curriculum & Topics Covered

The curriculum is meticulously structured to progress from fundamental concepts to advanced industrial applications. Consequently, participants will experience a logical flow of knowledge throughout the week:

• Introduction to AI & ML: Core concepts, current trends, and specific mechanical applications.
• ML Types: A comprehensive deep dive into Supervised, Unsupervised, and Reinforcement Learning.
• Python for Engineers: Hands-on basics and essential libraries such as NumPy and Pandas.
• Data Engineering: Pre-processing, feature engineering, and advanced visualization techniques.
• Core Algorithms: Regression, Classification, and Clustering techniques explained.
• Neural Networks: An introduction to Deep Learning utilizing Keras and TensorFlow.
• Optimization: GA, PSO, and other robust techniques in mechanical design.
• Industrial Use Cases: Robotics, condition monitoring, and autonomous systems.

Resource Persons

The FDP features a stellar lineup of academicians and industry veterans with decades of collective experience. Therefore, participants will gain insights from both theoretical and practical perspectives:

• Dr. D. S. Watvisave: Associate Professor, Cummins College of Engineering for Women (25 Years Exp).
• Mr. Mangesh Shukla: Manager, Siemens Limited, Pune (27 Years Exp).
• Mr. Abhijeet Khuperkar: Principal Architect AI/ML, Oracle, Mumbai (26 Years Exp).
• Dr. Dashrath Kshirsagar: Assistant Professor, COEP Technological University (20 Years Exp).
• Mr. Vilas Shelke: Senior Manager, Piramal Critical Care, USA (17 Years Exp).
• Dr. Kishor B Shingare: Post-Doctoral Researcher, Khalifa University, UAE (12 Years Exp).
• Dr. Appasaheb Gadade: Assistant Professor, Thapar University (22 Years Exp).

Learning Outcomes

Upon successful completion of this program, participants will be equipped to:

• Explain fundamental AI/ML concepts relevant to mechanical systems with clarity.
• Apply tools like Python, scikit-learn, and TensorFlow to solve complex engineering problems.
• Integrate ML modules into existing academic curricula and lab sessions effectively.
• Develop interdisciplinary research proposals for smart manufacturing and robotics.
• Evaluate real-world industry use cases to align academic efforts with future technological trends.

Certification & Assessment

To receive the prestigious ATAL Academy certificate, participants must strictly adhere to specific evaluation criteria. Specifically, a minimum of 80% attendance is mandatory throughout the six-day duration. Furthermore, an online assessment quiz and a feedback session will be conducted on the final day. Only those who meet the attendance requirements and achieve qualifying marks in the assessment will be awarded the completion certificate. Consequently, active engagement during every session is vital for success.

Registration Details

Requirement	Information
Registration Link (Portal)	click here
Registration Fee	Nil (Free for eligible candidates)
Selection Criteria	First-come, first-served basis
Last Date to Apply	As per ATAL Academy guidelines
Schedule Link	Download
Brochure Link	Download

Contact Information

For any queries regarding the program schedule or registration process, interested participants may contact the organizing team directly:

• Coordinator: Dr. Parmeshwar P. Ritapure (9545908970 | parmeshwar.ritapure@zealeducation.com)
• Co-Coordinator: Prof. Bharat D. Aldar (8308800305 | bharat.aldar@zealeducation.com)
• HOD Mechanical: Prof. Sachin M. Godase (9527609339 | sachin.godase@zealeducation.com)
• Website: www.zealeducation.com

Frequently Asked Questions (FAQs)

Is there any registration fee for this FDP?
No, this Faculty Development Program is sponsored by the AICTE ATAL Academy; therefore, it is free for faculty members of AICTE-approved institutions and research scholars.

Will the sessions be recorded for later viewing?
While the program is conducted live online, session materials are typically managed by the host institution. However, because 80% live attendance is mandatory for certification, participants should plan to attend in real-time.

Who is eligible to participate in “AI and ML in Mechanical Systems” 2026?
Faculty members, industry experts, PG students, and research scholars are the primary target audience for this specialized technical training.

What software tools will be taught during the hands-on sessions?
Specifically, the program focuses on Python and its libraries, including NumPy, Pandas, scikit-learn, and TensorFlow for building and deploying models.

How will I receive my certificate?
Certificates are issued digitally by the ATAL Academy (AICTE) through their official portal. This occurs only after the participant successfully completes the assessment and feedback on the final day.