ATAL FDP on Artificial Intelligence in Healthcare 2026 and Sreenidhi Institute of Science and Technology, Hyderabad (Jan 05, 2026)

The ATAL FDP on Artificial Intelligence in Healthcare 2026 at Sreenidhi Institute of Science and Technology (SNIST) offers a premier opportunity for educators and researchers to master the intersection of advanced computing and medical science. Specifically, this six-day faculty development program addresses the urgent need for intelligent systems that can handle modern medical complexities. Consequently, participants will bridge the gap between theoretical AI models and practical clinical applications.

Program Highlights

Feature	Details
Program Title & Code	Artificial Intelligence in Healthcare (App No: 1749505507)
Organizing Institution	Sreenidhi Institute of Science & Technology (SNIST), Dept of ECE
Dates & Duration	January 05 to January 10, 2026 (6 Days)
Mode of Delivery	Online
Daily Schedule	Evening Slots (6:00 PM – 9:30 PM)

Program Overview

This AICTE Training And Learning (ATAL) Academy program is designed to provide a comprehensive understanding of AI concepts focused specifically on the healthcare domain. Furthermore, the FDP aims to introduce intelligent tools such as machine learning and natural language processing for medical diagnosis and decision support.

The program focuses on the “Advanced Computing – AI” thrust area. Therefore, it targets a dedicated group of 50 participants, ensuring high-quality interaction and deep learning. Participants will explore the theoretical foundations of deep learning while gaining practical insights into deploying medical image-processing schemes.

Eligibility Criteria

The program is open to a specific group of academic and industry professionals:

• Faculty members from AICTE-approved institutions.
• Research Scholars and PG Scholars.
• Industry Personnel interested in medical AI applications.

Curriculum & Topics Covered

The curriculum is structured to move from foundational theories to specialized healthcare applications over six days:

• Foundations: Evolution of AI in medicine and fundamentals of AI, ML, and DL.
• Deep Learning: CNN architectures for medical image analysis and introduction to TensorFlow, Keras, and Google Colab.
• Signal Processing: AI for ECG, EEG, and EMG signal analysis and feature extraction.
• Specialized AI: NLP for clinical notes, XAI-driven CatBoost for breast cancer analysis, and Generative Adversarial Networks (GANs).
• Advanced Tech: AI for remote monitoring, wearable IoT healthcare devices, and image denoising schemes.
• Research Trends: Latest case studies and research directions in deep learning for healthcare.

Resource Persons

The FDP features an elite panel of experts from premium institutes and global industries:

• Mr. Ram Sajja: CTO & Gen AI Advisor, Cloud4C Services, USA (25 years exp).
• Dr. Madhan Kumar Srinivasan: CEO & Co-founder, Wise Work (21 years exp).
• Mr. Bala Prasad Peddigari: Global Head – Technology Advisory, TCS (27 years exp).
• Dr. Sonali Agarwal: Associate Professor, IIIT Allahabad (22 years exp).
• Dr. Ashwini Kodipalli: Research Associate, IISc Bangalore (14 years exp).
• Dr. M. Purna Chandra Rao: Research Scientist, Fraunhofer IIS, Germany (10 years exp).
• Dr. Parvathaneni Naga Srinivasu: Associate Professor, Amrita Vishwa Vidyapeetham.

Learning Outcomes

Upon successful completion, participants will be equipped to:

• Apply AI algorithms to medical data including X-rays, MRI, and ECG signals.
• Design intelligent systems for disease detection and personalized monitoring.
• Utilize popular frameworks like Keras, TensorFlow, and PyTorch for medical models.
• Critically analyze challenges such as model interpretability and data imbalance in clinical settings.
• Mentor students and lead multidisciplinary research in healthcare innovation.

Certification & Assessment

To receive the certificate from ATAL Academy, participants must meet the following criteria:

• Attendance: Continuous attendance throughout the six-day online sessions.
• Assessment: An online test and feedback session will be conducted on the final day.
• Authority: Certificates are issued by the AICTE Training And Learning (ATAL) Academy.

Registration Details

Detail	Information
Registration Link	click here
Last Date to Apply	December 27, 2025
Shortlisting Date	December 30, 2025
Registration Fee	No Fee (Completely Free)
Selection Criteria	Based on AICTE/ATAL guidelines
Schedule Link	Download
Brochure Link	Download

Contact Information

For any queries regarding the program, participants may contact the following coordinators at Sreenidhi Institute of Science and Technology:

• Coordinator: Dr. C N Sujatha, Professor (ECE)
  • Email: sujathac.n@sreenidhi.edu.in
  • Phone: +91 9949587845
• Co-Coordinator: Dr. G Prasad Acharya, Associate Professor (ECE)
  • Email: prasad.g@sreenidhi.edu.in
  • Phone: +91 9849937691

Key Highlights

This FDP stands out due to its heavy focus on hands-on training. Specifically, it includes dedicated sessions for implementing deep learning for medical image classification and AI-powered diagnosis using real-time signal data. Moreover, the inclusion of industry leaders from TCS and Cloud4C ensures that the academic theory is grounded in current global industry standards.

Frequently Asked Questions (FAQs)

What is the registration fee for the ATAL FDP on Artificial Intelligence in Healthcare 2026?
There is no registration fee. ATAL FDPs are completely free for faculty members and scholars from AICTE-approved institutions.

Is this an offline or online program?
This is a 100% online Faculty Development Program, allowing participants to attend sessions remotely.

What are the session timings for this FDP?
The sessions are primarily scheduled in the evening from 6:00 PM to 9:30 PM IST to accommodate the schedules of working faculty members.

Who is eligible to apply for this AI in Healthcare FDP?
Faculty members, Research Scholars, and PG Scholars from AICTE-approved institutions, as well as Industry Personnel, are eligible to apply.

How will I receive the certificate?
Certificates will be issued through the ATAL portal to participants who maintain the required attendance and pass the online test conducted on the final day.