ATAL Online Faculty Development Program sponsored by AICTE- NITTTR, Bhopal (Free Registration)
ATAL Online Faculty Development Program sponsored by AICTE- NITTTR, Bhopal (Free Registration)
ठीक है, ये भी event / FDP notification है — मैंने इसे clean, structured और admin-panel ready format में convert कर दिया है 👇
🔹 Event Notification
Institution Name
National Institute of Technical Teachers’ Training and Research (NITTTR), Bhopal
Event Title
AICTE ATAL Sponsored Online Faculty Development Program on “Next Gen AI and LLMs: Transforming Pedagogy and Research”
Event Type
Faculty Development Program (FDP) – ATAL (AICTE Sponsored)
Event Duration
10 November 2025 – 15 November 2025
Mode
Online
Organizing Department
Department of Computer Science and Engineering Education
🔹 About the FDP
This Faculty Development Program is designed to help educators understand and apply advanced AI technologies, especially Large Language Models (LLMs), in teaching and research.
The program focuses on integrating modern AI tools into pedagogy, enhancing research capabilities, and exploring ethical considerations in AI usage. It aims to prepare educators for future-ready teaching practices in an AI-driven academic environment.
🔹 Objectives
- Enable faculty to integrate Next-Gen AI and LLMs into teaching and research
- Explore generative AI and multi-modal learning approaches
- Understand the impact of AI on modern pedagogy
- Promote innovation in teaching methodologies
🔹 Learning Outcomes
Participants will be able to:
- Understand the role of AI and LLMs in education and research
- Differentiate between various generative AI models and paradigms
- Apply NLP techniques in academic contexts
- Use AI tools for research and content creation
- Identify research areas using literature analysis
- Implement AI-driven approaches for improving pedagogy
🔹 Topics Covered
- Introduction to Artificial Intelligence
- Generative AI and Next-Gen AI concepts
- Natural Language Processing (NLP)
- Large Language Models (LLMs)
- Multi-modal Generative AI
- AI in teaching, assessment, and feedback
- AI-driven research methodologies
- Pedagogical transformation using AI
🔹 Target Audience
- Faculty members
- Research scholars
- Postgraduate students
- Industry professionals from relevant domains
🔹 Registration Details
- Registration Fee: Free (NIL)
- Last Date to Register: 5 November 2025 (6:00 PM)
🔹 How to Apply
Interested candidates can register through the official ATAL portal:
👉 https://atalacademy.aicte.gov.in/signup
Application Filters:
- FDP Type: ATAL Online
- Month: November
- Thrust Area: Engineering & Management (AI & Applications)
- Application No: 1749720023
🔹 Coordinator Details
Coordinator:
Dr. Ganapathy S (Associate Professor)
📞 9488869712
Co-Coordinator:
Dr. Sanjay Agrawal (Professor)
🔹 About ATAL Academy
AICTE Training and Learning Academy (ATAL) aims to enhance the quality of technical education in India by empowering faculty with advanced knowledge, teaching skills, and research capabilities.
The academy conducts FDPs in emerging fields like AI, Machine Learning, Data Science, and more, aligning with NEP 2020 and Education 4.0 requirements. It also promotes innovation, interdisciplinary learning, and collaboration between academia and industry.
🔹 About the Institution
NITTTR Bhopal is a premier institution established by the Ministry of Education, Government of India. It focuses on improving the quality of technical education through training, research, and development activities.
The institute specializes in faculty development, curriculum design, educational technology, and industry collaboration.
🔹 About the Department
The Department of Computer Science and Engineering Education offers advanced programs and training in areas like AI, Machine Learning, Cyber Security, and Data Analytics.
It actively conducts FDPs, research programs, and short-term courses aimed at enhancing technical and pedagogical skills.
Additional Information
- Participants may be required to upload NOC during registration
- Selection will be based on ATAL guidelines
What's Your Reaction?
Like
0
Dislike
0
Love
0
Funny
0
Angry
0
Sad
0
Wow
0