ATAL FDP on Artificial Intelligence 2026 and Rajarshi Shahu College of Engineering, Pune (Jan 05, 2026)

The ATAL FDP on Artificial Intelligence 2026 at Rajarshi Shahu College of Engineering (RSCOE), Pune, presents a prestigious opportunity for educators and researchers to master the rapidly evolving landscape of AI. Specifically designed to address the “Transformative Impact of AI in Society,” this six-day program bridges the gap between foundational theory and real-world application. Consequently, participants will engage with industry leaders and academic pioneers to enhance their research productivity and teaching methodologies in the digital age.

Program Highlights

Feature	Details
Program Title & Code	Crafting the Future: The Transformative Impact of AI in Society (Code: 1742358603)
Organizing Institution	JSPM’s Rajarshi Shahu College of Engineering, Department of Computer Applications
Dates & Duration	January 05 to January 10, 2026 (6 Days)
Mode of Delivery	Face-to-Face (Offline)
Daily Schedule	09:30 AM to 05:30 PM
Location	Tathawade, Pune, Maharashtra

Program Overview

The Faculty Development Program (FDP) is meticulously crafted to explore the role of Artificial Intelligence (AI) in modern research and societal development. This initiative, supported by the AICTE Training and Learning (ATAL) Academy, offers a deep dive into AI technologies and their multi-disciplinary significance. Furthermore, the program emphasizes practical execution through hands-on sessions, ensuring that theoretical concepts are translated into actionable skills.

The primary objective is to empower researchers to integrate AI into their workflows effectively. By doing so, the program aims to boost innovation across sectors like healthcare, education, and governance. The Department of Computer Applications at RSCOE, known for its industrial collaborations with giants like CSI and ISTE, serves as the ideal host for this transformative learning experience.

Eligibility Criteria

This program is exclusively available to the following categories of participants from AICTE-approved technical institutions:

• Faculty members from any academic discipline.
• Research Scholars (PhD) and Post-Graduate (PG) students.
• Industry delegates interested in the societal applications of AI.

Curriculum & Topics Covered

The curriculum is structured to provide a comprehensive roadmap from basic neural networks to advanced industrial applications. Key modules include:

• Introduction to AI and Machine Learning Foundations.
• Fundamentals of Neural Networks (Hands-on sessions).
• AI in Healthcare: Diagnostics and Predictive Analytics.
• AI in Education and Governance.
• Text Mining, Analytics, and Generative AI.
• AI in Cybersecurity and Robotics.
• Research Methodology and Article Discussions.
• Ethical Challenges, Governance, and Responsible AI Policy.

Resource Persons

The program features an elite panel of experts from premier academic institutions and global IT leaders:

• Dr. Bhushan Garware: AI Consultant at Google (Cloud Migration Expert).
• Dr. Saurabh Mukherjee: Professor, Banasthali Vidyapith, Rajasthan.
• Dr. Sunil D. Kale: Assistant Professor, VJTI Mumbai.
• Mr. Anand Vaidya: Engineering Manager, Checkpoint Software.
• Mr. Tushar B. Kute: Sr. Data Scientist, MITU Research Pune.
• Mr. Nirav Halbe: Tech Lead, Globant India Pvt. Ltd.
• Dr. Sanket Ramakant Lodha: Director, Zeel NetSol, Pune.
• Dr. Jayashree Rajesh Prasad: Professor & Head, MIT ADT University, Pune.

Learning Outcomes

Upon successful completion of this ATAL FDP, participants will be able to:

• Apply Machine Learning and Deep Learning foundations to real-world datasets.
• Analyze the impact of AI on business, healthcare, and education sectors.
• Utilize cutting-edge AI frameworks to improve research efficiency and innovation.
• Navigate the ethical landscape of AI, including policy and governance.
• Implement AI-driven solutions for predictive analytics and cybersecurity.

Certification & Assessment

To receive the completion certificate issued by the ATAL Academy, participants must meet the following criteria:

• Attendance: Minimum 80% attendance is mandatory for all sessions.
• Assessment: Participants must clear the MCQ-based test and submit a Reflection Journal on the final day.
• Industrial Visit: Active participation in the scheduled industrial visit to iTech Robotics & Automation Pvt. Ltd.

Registration Details

Requirement	Details
Registration Portal	click here
Registration Fee	NIL (Free of Cost)
Application Number	1742358603
NOC Requirement	Scanned ID card and NOC from parent institute must be uploaded
Additional Form	click here
Schedule Link	Download
Brochure Link	Download

Contact Information

For any queries regarding the application process or schedule, please contact the organizing team:

• FDP Coordinator: Dr. Binod Kumar (Professor & Dean IR, RSCOE).
• FDP Co-Coordinators: * Prof. Vaishali Suryawanshi: +91-9763722249
  • Prof. Dipak Kadve: +91-9763224106
• Email: vdsruawanshi_mca@jspmrscoe.edu.in / dbkadve_mca@jspmrscoe.edu.in
• Website: www.jspmrscoe.edu.in

Key Highlights

The program includes a specialized Industrial Visit to iTech Robotics & Automation Pvt. Ltd. in Chakan, MIDC. This visit is designed to provide participants with a front-row seat to how AI and Robotics are transforming manufacturing and automation. Additionally, the FDP integrates “Article Discussion” sessions where participants analyze recent high-impact research papers from journals like JAIR and AI Open, fostering a culture of high-quality publication.

Frequently Asked Questions (FAQs)

Is there any registration fee for the ATAL FDP on Artificial Intelligence 2026 JSPM RSCOE Pune?
No, there are no participation fees for this FDP. It is a fully funded program under the AICTE ATAL Academy initiative.

Who is eligible to apply for this face-to-face FDP?
Faculty members, research scholars, PG students, and industry delegates from AICTE-approved technical institutions are eligible to apply.

What are the mandatory documents required for registration?
Participants must upload a scanned copy of their Institutional ID card and a No Objection Certificate (NOC) from their Head of Department or Principal.

Will there be practical training included in the sessions?
Yes, the schedule includes dedicated daily “Hands-on training/Labs” sessions and a specific industrial visit to observe AI applications in robotics.

How do I find this specific program on the ATAL portal?
Login to the ATAL academy portal, navigate to “FDPs – ATAL – January – Engineering,” and use the search function (Ctrl+F) to find Application No: 1742358603.