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FDP on Advanced Research Methodology and AI

Introduction

Introduction

Introduction

The landscape of academic and professional research is undergoing a seismic shift. Artificial Intelligence is no longer a futuristic concept but a powerful, practical toolkit that is revolutionizing how we formulate questions, collect data, derive insights, and communicate findings.

This FDP is designed to bridge the gap between rigorous, traditional research methodology and the transformative potential of AI. Over six immersive days, we will move from the core principles of ethical research design to the advanced application of Large Language Models (LLMs), Natural Language Processing (NLP), and automated systematic reviews. This is not just about learning new tools; it's about fundamentally upgrading your research process for greater efficiency, depth, and impact.

Objectives

Introduction

Introduction

This program is designed to empower you to:

  • Integrate traditional research methodologies with cutting-edge AI tools and techniques.
  • Formulate robust research problems and questions 
  • Design ethically sound research studies, understanding both classic ethical concerns and new challenges posed by AI
  • Apply AI-powered methods, 
  • Develop a practical framework for employing AI 
  • Navigate the future of research with a critical understanding of the capabilities and ethical limitations of AI technologies.

Outcomes

Introduction

Program Highlights

 Upon successful completion of this FDP, you will be able to

  • Critically evaluate research problems and leverage AI to define precise research questions.
  • Design effective surveys and qualitative studies while using AI to detect bias and improve instruments.
  • Select appropriate sampling techniques and data collection methods for your research domain.
  • Utilize Natural Language Processing (NLP) for tasks like topic modeling, text summarization, and sentiment analysis.

Program Highlights

Program Highlights

Program Highlights

. Name of the Program:  Advanced Research Methodology and Artificial Intelligence  

· Program Duration:   24 to 29 - Nov 2025, Session 01 -07-08 PM, Session 02, 08-09 PM, total 12 sessions of one hour duration  

· API Credits : applicant can earn 10 API points as per UGC guidelines 

· Age: No bar

· Mode of Delivery: Online, recording will be provided on request 

· Medium of Instruction: English

· Assessment : Q & A during sessions 

Benefits

Program Highlights

Who can apply

By enrolling in this FDP, you will gain:

  • A Verifiable Certificate of Completion from the institution, eligible for API points.
  • Practical, Hands-On Skills: Move beyond theory with live demonstrations and practical sessions on AI tools.
  • Expert Insights: Learn from a distinguished panel of experts with proven experience in both research methodology and AI application.

Who can apply

Program Highlights

Who can apply

  • Faculty Members and Professors from all disciplines
  • PhD Scholars and Post-Doctoral Fellows
  • Master’s Students embarking on thesis work
  • Industry Professionals involved in R&D and data analysis
  • Anyone looking to enhance their research capabilities with modern AI tools

Admission Process

Academic Collaboration

Admission Process

Applicant need to submit the details as per following google form and pay the requisite fee. https://forms.gle/gvQrAFmPyN37SxxM9

Application Form

Total fees

Academic Collaboration

Admission Process

INR  1500 /-  (USD 20 - International participants) for complete program. It contains 6 days training program.

Academic Collaboration

Academic Collaboration

Academic Collaboration

• We have Academic collaboration with Mahatma Phule Vasathigrah's, M. P. College (Arts & Commerce), Affiliated to Pune University (SPPU), Pune. The name will also appear on Certificate. 

Tentative Schedule

Session 01 -07-08 PM, Session 02, 08-09 PM

24 Nov 2025 

Introduction and welcome address by Chief Guest + Guest of Honor 

1. The Research Landscape in the Age of AI: Defining Problems and Questions, Dr Atul Bengeri 

2. Research Ethics: Plagiarism, Informed Consent, and Data Privacy, Dr. Anjum Nazir Qureshi

25 Nov 2025

1. Interdisciplinary Research in the 21st Century: Collaboration across Domains, Dr. S Sriranjani Mokshagundam

2. Natural Language Processing (NLP) for Textual Data Analysis: Topic Modelling (LDA), Named Entity Recognition (NER), and Text Summarization, Dr Atul Bengeri 

26 Nov 2025

1. A practical framework for identifying and defining research variables. - Mr. Goutam Sharma 

2. A conceptual analysis of research types and purposes - Dr. Anindita Santra

27 Nov 2025

1. Qualitative Data collection methods, Ms. B. Indira Priyadarshini

2. Questionnaire and Survey design, Dr. A. Mary Francina

28 Nov 2025

1. Sampling techniques and strategies, Mrs. K. Mary Keerthi

2. The Ethics of AI in Research: Algorithmic Bias and Fairness: Identifying and mitigating bias in AI-driven research tools and data, Mr. Mohit Tiwari

29 Nov 2025

1. The Future of Research: Large Language Models (LLMs) as Research Co-pilots, Mr. Mohit Tiwari

2. Automated Systematic Reviews with AI: Leveraging AI to screen thousands of papers for inclusion/exclusion criteria by Dr Atul Bengeri and Valedictory Function 

FDP - List of Successful Candidates

Will be updated on 29th Nov 2025

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Applications are open for FDP program

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