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ATAL FDP on Artificial Intelligence and Maharaja Institute of Technology, Mysore (Jan 05, 2026)
The ATAL FDP on Artificial Intelligence offers a premier opportunity for educators and researchers to master the transformative power of AI technologies. Hosted by the Maharaja Institute of Technology Mysore (MITM), this program addresses the critical need for technical teachers to stay ahead in a rapidly evolving digital landscape. Consequently, participants will explore everything from deep learning to ethical AI, ensuring they can lead innovation within their respective academic departments.
Program Highlights
| Feature | Details |
| Program Title | Artificial Intelligence: Insights and Applications |
| Organizing Institution | Maharaja Institute of Technology Mysore (MITM) |
| Department | Computer Science and Engineering (Artificial Intelligence) |
| Dates & Duration | January 5, 2026, to January 10, 2026 (6 Days) |
| Mode of Delivery | Online |
| Daily Schedule | Evening Sessions (6:00 PM – 9:30 PM) |
Program Overview
The primary objective of this Faculty Development Programme is to provide engineering faculties with a robust foundation in AI methodologies. Specifically, the department aims to bridge the gap between traditional computer science and modern AI applications. Participants will engage with a curriculum designed for visionary problem-solvers, focusing on real-world solutions in healthcare, finance, and agriculture. Furthermore, the Academy stresses empowering teachers through Information Communication Technology (ICT) to foster research and entrepreneurship.
Eligibility Criteria
This program is specifically designed for:
- Engineering faculties from AICTE-approved institutions.
- Research scholars and PhD candidates specializing in Computer Science or Data Science.
- Policy makers and academic administrators interested in AI integration.
- Participants must be registered on the ATAL Academy portal to qualify for selection.
Curriculum & Topics Covered
The course structure provides a balance between theoretical insights and hands-on implementation. Key modules include:
- Foundations: Introduction to AI Evolution and Fundamentals of Machine Learning.
- Deep Learning: Neural Networks and Deep Learning architectures.
- Natural Language Processing: Concepts, applications, and LLM security.
- Computer Vision: Image recognition and AI in robotics/automation.
- Advanced Trends: Generative AI, Agentic AI, and Edge AI for IoT.
- Practical Skills: Data Preprocessing, Feature Engineering, and Python tools (TensorFlow, scikit-learn).
- Pedagogy: Curriculum design and pedagogical approaches for teaching AI.
Resource Persons
The FDP features a distinguished panel of international and national experts:
- Dr. Mohammed Ali Kadampur: Professor, AI-Iman Muhammed Ibn Saud Islamic University, Saudi Arabia (25 years exp).
- Suriya Kopula: Lead Detection Engineer (AI/ML) Cyber Security, State Farm Insurance, USA (27 years exp).
- Dr. Shrirang Kulkarni: Director of Examinations, Manipal Institute of Technology, Bengaluru (23 years exp).
- Dr. Mahesha Huddar: Professor, Govt. First Grade College, Hukkeri (17 years exp).
- Gajendra Deshpande: Managing Director, Theta Dynamics Private Limited (17 years exp).
- Dr. Shreekant Jere: Decision Science Practitioner, Accenture AI (16 years exp).
- Kalyan Prasad: AI and Data Science Leader, Advisor at Kaggle (15 years exp).
- Bhushan Kapkar: Senior Gen AI Architect, Optum (12 years exp).
- Pavan Kashyap: Specialist Data Scientist, Fiserv (10 years exp).
Learning Outcomes
Upon successful completion of this program, participants will be able to:
- Design and implement intelligent systems using search algorithms and knowledge representation.
- Apply AI tools and frameworks to solve complex engineering problems in automation and data analytics.
- Evaluate ethical, societal, and professional issues related to artificial intelligence.
- Develop updated curricula and pedagogical strategies for teaching AI to undergraduate students.
Certification & Assessment
The ATAL Academy enforces strict standards for certification to ensure quality learning.
- Attendance: A minimum of 80% attendance is mandatory.
- Assessment: Participants must score at least 70% in the online test conducted at the end of the program.
- Issuing Authority: Digital certificates will be issued directly by the AICTE ATAL Academy.
Registration Details
| Requirement | Information |
| Registration Link | click here |
| Starting Date | 05 Jan 2026 |
| Ending Date | 10 Jan 2026 |
| Registration Fee | Nil (Free of Cost) |
| Selection Criteria | Early registration is encouraged; seats are limited. |
| Schedule Link | Download |
| Brochure Link | Download |
Contact Information
For further queries regarding the FDP, participants may contact the organizing department:
- Institution: Maharaja Institute of Technology Mysore
- Address: Behind K.R. Mills, Mysore, Karnataka.
- Department: CSE (Artificial Intelligence)
- Coordinator: Please refer to the institute website for specific contact numbers and email addresses.
Key Highlights
- Global Expertise: Learn from practitioners based in the USA, Saudi Arabia, and top-tier Indian industries like Accenture and Optum.
- Industry Focused: Deep dives into research trends, publication opportunities, and real-world AI applications.
- Flexibility: The evening schedule allows faculties to attend without disrupting their regular daytime academic duties.
Frequently Asked Questions (FAQs)
What is the cost of the ATAL FDP on Artificial Intelligence?
There is no registration fee for this program. All ATAL Academy sponsored FDPs are provided free of cost to eligible participants.
Will I receive a certificate for this online program?
Yes, certificates are issued by the ATAL Academy to participants who meet the 80% attendance requirement and score 70% or above in the final test.
Can research scholars apply for this AI FDP?
Specifically, research scholars and PhD candidates from relevant technical backgrounds are welcome to apply through the ATAL portal.
What tools will be taught during the sessions?
The program covers essential AI platforms including Python, TensorFlow, and scikit-learn for hands-on sessions.
Is there a limit on the number of participants?
Yes, seats are limited and will be filled on a first-come, first-served basis as per AICTE guidelines.