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ATAL FDP on Artificial Intelligence 2026 and S.B. Jain Institute, Nagpur (Jan 19, 2026)
The ATAL FDP on Artificial Intelligence 2026 is a timely initiative designed to equip educators and researchers with cutting-edge skills in the rapidly evolving landscape of AI. As technologies like Generative AI and Edge AI transform industries, there is a critical need to bridge the gap between academic theory and real-world application. Consequently, this Faculty Development Program (FDP) offers a comprehensive curriculum covering everything from Machine Learning foundations to the deployment of AI models on low-power devices.
Program Highlights
| Feature | Details |
| Program Title | Emerging Trends in Artificial Intelligence and Its Real-World Applications |
| Organizing Institution | S.B. Jain Institute of Technology, Management & Research (SBJITMR), Nagpur |
| Department | Department of Electronics and Telecommunication Engineering |
| Dates | 19th January 2026 to 24th January 2026 |
| Duration | 6 Days (Online) |
| Registration Fee | Free (No Registration Fee) |
| Application Deadline | Register before 19th January 2026 |
Program Overview
This AICTE-ATAL sponsored program focuses on “Emerging Trends in Artificial Intelligence” to align with the National Education Policy (NEP) 2020’s emphasis on interdisciplinary technology integration. Specifically, the course aims to upskill faculty in high-demand areas such as Deep Learning, Explainable AI (XAI), and Reinforcement Learning. Furthermore, participants will gain hands-on experience with industry-standard tools like TensorFlow, PyTorch, and the ChatGPT API. The ultimate goal is to foster interdisciplinary research and help educators integrate AI modules into their UG/PG curriculums.
Eligibility Criteria
The program invites a diverse group of participants to ensure a rich exchange of ideas. Eligible candidates include:
- Faculty Members: From AICTE-approved institutions.
- Research Scholars & Students: PhD and PG scholars actively pursuing research.
- Industry Professionals: Officers and professionals from relevant sectors.
- Staff: Staff members from academic institutions.
Curriculum & Topics Covered
The schedule is meticulously structured to progress from foundational concepts to advanced practical applications.
- Foundations: Supervised, Unsupervised, and Reinforcement Learning.
- Deep Learning: CNNs, RNNs, LSTMs, and Transfer Learning using VGG/ResNet.
- Generative AI: Natural Language Processing (NLP), Prompt Engineering, and tools like ChatGPT, DALL-E, and Sora.
- Hands-on Labs: Python for ML, Image Classification with TensorFlow/PyTorch, and ChatGPT API integration.
- Edge AI: Deploying ML models on Raspberry Pi and TinyML for low-power devices.
- Applied AI: Case studies in IoT, Healthcare, Smart Cities, and Ethics in AI.
Resource Persons
The FDP features a distinguished panel of experts from leading global companies and premier academic institutions.
| Expert Name | Designation & Institution | Expertise Area |
| Mr. Devang A Darode | Embedded System Analyst, Accenture Deutschland, Germany | Machine Learning & Python |
| Mr. Kundan Deotale | General Manager, JIO Pvt. Ltd., Mumbai | Deep Learning & Transfer Learning |
| Dr. Ritu Jain Gaurav | CTO, U2USystems, Singapore | Generative AI & Prompt Engineering |
| Dr. Geeta Chhikara | Associate Professor, Manipal University Jaipur | NLP & ChatGPT Use Cases |
| Dr. Maunendra Sankar Desarkar | Associate Professor, IIT Hyderabad | Edge AI & TinyML |
| Dr. Arpit Agarwal | Assistant Professor, IIT Bombay | Image Classification |
| Mr. Rajesh Chobe | System Software Engineer, Persistent Systems Ltd. | AI Ethics & Career Pathways |
| Mr. Ketan Paithankar | Co-Founder/CEO, Konverge.AI | AI in IoT & Healthcare |
Learning Outcomes
Upon successful completion, participants will possess the skills to transform their teaching and research. Specifically, attendees will be able to:
- Demonstrate proficiency in Python libraries like Pandas, NumPy, and Scikit-learn.
- Develop and deploy AI models for image classification and natural language processing tasks.
- Implement Generative AI solutions using the ChatGPT API for content generation and coding assistance.
- Navigate the ethical challenges of AI bias and fairness in real-world deployments.
Certification & Assessment
The AICTE Training and Learning (ATAL) Academy enforces strict certification standards to ensure quality engagement.
- Attendance: Participants must maintain attendance in all scheduled sessions.
- Assessment: A comprehensive online test will be conducted on the final day (Jan 24).
- Feedback: Submission of the feedback form and valedictory participation is mandatory for certification.
Registration Details
Registration is conducted entirely online through the official ATAL portal.
| Requirement | Information |
| Registration Link | ATAL Academy Portal |
| Cost | Free for all participants |
| Mode | Online only |
| Start Date | 19th January 2026 |
Important Downloads
For complete details regarding the daily schedule and official brochure, please access the files below:
Download FDP Brochure
Download FDP Schedule
Contact Information
For inquiries regarding the schedule or technical assistance, please contact the program coordinator.
| Role | Name | Mobile | |
| Coordinator | Dr. Parag Puranik | 9881154387 | paragpuranik@sbjit.edu.in |
| Convener | Dr. Abhay Kasetwar | – | – |
| Institute Address | Kalmeshwar Road, Nagpur- 441501 | – | – |
Key Highlights
- Global Expertise: Sessions led by experts from Germany (Accenture) and Singapore (U2USystems).
- Cutting-Edge Tools: dedicated sessions on Generative AI tools like Sora, DALL-E, and ChatGPT.
- Hands-On Focus: Practical labs on deploying models to edge devices like Raspberry Pi.
Frequently Asked Questions
1. Is there a registration fee for the ATAL FDP on Artificial Intelligence 2026?
No, the program is fully sponsored by AICTE and is completely free for all eligible participants.
2. Who can attend this Faculty Development Program?
The FDP is open to faculty members, research scholars, PG students, and industry professionals from AICTE-approved institutions.
3. What topics are covered in the hands-on sessions?
Participants will get hands-on training in Python for ML, Image Classification using TensorFlow/PyTorch, and deploying models on Edge devices.
4. Will I receive a certificate for participation?
Yes, certificates are awarded to participants who attend all sessions, complete the feedback, and clear the online test on the final day.
5. How do I register for the event?
You must register online through the AICTE ATAL Academy website at https://www.aicte-india.org/atal.