Faculty Development Program
The Faculty Development Program (FDP) is designed to enhance the teaching, research, and professional skills of educators, equipping them with modern pedagogical techniques and the latest advancements in their respective fields. Tailored for faculty members in diverse disciplines, the program aims to foster a culture of continuous learning, innovation, and excellence in education.
1. Faculty Development Programme on "Generative AI: Foundations, Applications, and Future Directions"
Name of the activity: Generative AI: Foundations, Applications, and Future Directions
Theme of the activity: Faculty Development Programme
Activity Date(s): 18th to 22nd November 2024
Organized by: Electronics & ICT Academy, IIT Roorkee
Brief description of the activity:
The Faculty Development Programme (FDP) on "Generative AI: Foundations, Applications, and Future Directions" was successfully organized by the Electronics & ICT Academy, IIT Roorkee, from 18th to 22nd November 2024. The programme aimed to provide faculty members with in-depth knowledge of generative AI, covering theoretical foundations, real-world applications, and emerging trends.
2. AICTE Training and Learning (ATAL) Academy Faculty Development Program on 'Recent Trends in Deep Learning & Large Language Models'
3. 5 Days Faculty Development Programme on “ADVANCED PEDAGOGICAL STRATEGIES AND OUTCOME BASED EDUCATION UNDER NEP2020”
4. 5-Days Faculty Development Programme on “Essentials of Machine Learning Techniques” with Hands-on Training
Organized by: Department of AI and Department of Computer Applications, Delhi Technical Campus, Greater Noida
Date: December 23, 2024 - December 28, 2024
Brief description of the activity:
The 5-day Faculty Development Programme (FDP) on "Essentials of Machine Learning Techniques" with Hands-on Training was successfully conducted by the Department of AI and the Department of Computer Applications at Delhi Technical Campus, Greater Noida. The program aimed to provide faculty members with a comprehensive understanding of machine learning (ML) techniques, covering theoretical foundations, practical applications, and real-world implementation through hands-on training.