CSE Dept organizes  FDP on Generative AI : The future of Creativity & Automation

The  Dept of CSE  aims to enhance the knowledge and skills of faculty members in the rapidly evolving fields of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning with innumerable initiatives .

With this aim, CSE Dept organized Faculty Development Program (FDP) during 13-17 January 2025. This five-day program brought together leading experts to offer in-depth sessions on various foundational and advanced topics.

The FDP provided participants with a comprehensive understanding of key AI concepts such as Generative AI, Convolutional Neural Networks (CNN), Transformers, Large Language Models (LLMs), and Agentic AI. The sessions were designed to bridge the gap between theoretical knowledge and real-world applications, enabling participants to apply their learning in academic research and teaching, as well as in professional AI development.

By the end of the program, faculty members were fortified with the latest insights into AI product engineering, the applications of deep learning in visual data processing, and the pioneering developments in generative models and language understanding systems. This report summarizes the key topics, discussions, and takeaways from the FDP, reflecting the significant contributions of the expert resource persons and the active participation of the attendees.

Day 1 – 13 January 2025

Session 1 (Forenoon)

Topic: Mathematical Foundations for Generative AI
Resource Person: Dr. T. Padmavathi

Key Topics Covered:

• Linear Algebra: Importance of matrices, eigenvalues, and Singular Value Decomposition (SVD) in AI.
• Probability and Statistics: Fundamental probability distributions and Bayesian approaches.
• Optimization Techniques: Gradient descent and its variations in AI model optimization.

Key Takeaways:

• Understanding the essential mathematical principles for AI.
• Role of linear algebra, probability, and optimization in developing AI models.

Session 2 (Afternoon)

Topic: Practical Applications of Mathematical Foundations in Generative AI
Resource Person: Dr. T. Padmavathi

Key Highlights:

• Case studies on Generative AI models like GANs and VAEs.
• Focus on real-world applications and bridging theoretical concepts with practice.

Day 2 – 14 January 2025

Session 1 (Forenoon)
Topic: Introduction to Deep Learning: Convolutional Neural Networks (CNN)
Resource Person: Dr. A. Noble Mary Juliet

Key Topics Covered:

• Introduction to deep learning and CNN architecture.
• Applications of CNNs in image processing and computer vision.

Key Takeaways:

• Participants gained insights into CNNs, including architectures and practical use cases in areas like image recognition and medical imaging.

Session 2 (Afternoon)
Topic: Introduction to Generative AI: Concepts and Applications
Resource Person: Dr. A. Noble Mary Juliet

Key Highlights:

• Explored the working principles of GANs, VAEs, and transformers.
• Application of Generative AI in diverse fields such as content generation, healthcare, and entertainment.

Key Takeaways:

• Understanding the power of Generative AI technologies and their impact across industries.
• Ethical considerations and challenges in using these technologies.

Day 3 – 15 January 2025

Session 1 (Forenoon)
Topic: GenAI for Visual Data: Autoencoders, GANs, and Vision Transformers
Resource Person: Dr. Shailesh Sivan

Key Topics Covered:

• Autoencoders for image compression and anomaly detection.
• GANs for image generation and Vision Transformers for advanced image classification.

Key Takeaways:

• Understanding advanced models and their applications in visual data processing.
• Discussed challenges in training these models and their computational demands.

Session 2 (Afternoon)
Topic: Emerging Trends in Visual Data AI
Resource Person: Dr. Shailesh Sivan

Key Highlights:

• Focus on GANs, Vision Transformers, and applications like self-supervised learning and transfer learning.
• Ethical challenges such as deepfakes.

Day 4 – 16 January 2025

Topic: Transformers and LLMs: Transformers, BERT, and GPT
Resource Person: Dr. Jeena Kleenankandy

Key Topics Covered:

• Transformers Architecture: Revolutionizing NLP with self-attention mechanisms.
• BERT: Pre-training and fine-tuning for text classification, sentiment analysis, and named entity recognition.
• GPT: Advancements from GPT-2 to GPT-4 for text generation and conversational AI.

Key Takeaways:

• Gained understanding of the transformer architecture and its applications in NLP.
• Emphasis on responsible use of LLMs due to ethical and computational concerns.

Day 5 – 17 January 2025

Topic: AI Product Engineering: Agentic AI
Resource Person: Mr. Pradeep T

Key Highlights:

• Introduction to AI Product Engineering: Focus on integrating AI into consumer products.
• Agentic AI: Autonomous decision-making AI systems used in applications like autonomous vehicles and smart assistants.
• Challenges in Development: Ethical concerns, accountability, and the need for large datasets.

Key Takeaways:

• Gained insight into AI product development, particularly Agentic AI and its real-world applications.
• Learned about the design process, ethical implications, and the importance of interdisciplinary collaboration.

Interactive Session:

• Engaged in discussions on AI ethics, industry trends, and overcoming challenges in AI development.

The Faculty Development Program (FDP) was a comprehensive and engaging learning experience, offering faculty members valuable insights into the latest advancements in AI and deep learning technologies. Each session addressed critical areas such as Generative AI, deep learning architectures like CNNs and transformers, and the practical implications of AI in product engineering. The program equipped participants with theoretical and practical knowledge to explore AI-driven solutions in various fields and contribute to future innovations in AI. The interactive nature of the sessions, along with the expertise of the resource persons, contributed to a productive and enriching experience for all participants.

The Editorial Team of News & Events joins the entire Vidya fraternity in extending hearty congratulation to the entire CSE Dept  on the noteworthy conduct of FDP that  focuses on practical applications, and the ethical considerations in AI development and equips with the latest perceptions into AI product engineering !!!