

Faculty Development Program (FDP) on Data Science With Generative AI
Note: This program is exclusively for Professors and Lecturers.
Topics Covered
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Day 7: Fine-tuning & Prompt Engineering
- Differences between Fine-tuning and Prompt Engineering
- Hands-on: Fine-tuning a Transformer model
Day 8: AI Ethics, Bias & Responsible AI
- Ethical concerns in AI development
- Bias in AI models & mitigation strategies
- Case studies on AI failures and best practices
Day 9: AI in Academic Research & Education
- AI-powered research assistants for academic enhancement
- Automating literature reviews, research writing, and curriculum design
Day 10: AI for Data Analysis & Visualization
- AI-driven analytics and visualization tools
- Hands-on training: AI-powered report generation
Day 11: Building AI-Powered Applications
- APIs for AI & Generative AI (OpenAI, Hugging Face)
- Hands-on: Developing an AI chatbot or AI-powered tool
Day 12: Capstone Project & Future Trends in AI
- Live project implementation
- Future of AI & Generative AI in academia & industry
This program is for

Faculty Members

Industry Professionals

EdTech & Training Professionals

Researchers & Ph.D. Scholars
Why Join This Program?
Expert-Led Training – Gain insights from industry leaders and AI practitioners with real-world expertise.
Hands-on Learning – Work on practical AI projects using tools like TensorFlow, PyTorch, and Hugging Face.
Industry-Relevant Skills – Build AI-powered applications and stay ahead in the evolving tech landscape.
Future-Ready Curriculum – Learn Generative AI, Large Language Models (LLMs), NLP, and AI ethics.
Globally Recognized Certification – Earn a prestigious certification to boost your credentials.
Networking & Collaboration – Connect with educators, researchers, and industry professionals for growth and learning.

Join the Program