Research and Business Applications | 18–19 December 2026

A two-day, online, hands-on Faculty Development Programme (FDP) organised by Asia-Pacific Institute of Management (AIM), New Delhi.

About the Programme

Discover how Generative Artificial Intelligence can support research, management decision-making and contemporary teaching. This interactive FDP introduces practical use of ChatGPT and Claude for framing effective prompts, interpreting data, developing business cases and supporting research workflows. Participants will see how AI-assisted Python can be used to execute analytical functions and explore Partial Least Squares Structural Equation Modelling (PLS-SEM) outputs.

The emphasis is on applied learning—not on developing AI algorithms. Through guided demonstrations and practical examples across Human Resources, Finance, Operations and Marketing, faculty members and researchers can connect classroom learning with industry-oriented analytical practice. AI-generated analysis and interpretations will be checked for statistical validity and research integrity.

Programme at a Glance

Details	Information
Programme	Faculty Development Programme on Artificial Intelligence for Data-Driven Decision Making
Theme	Research and Business Applications
Dates	Friday, 18 and Saturday, 19 December 2026
Time	12:00 PM – 4:00 PM IST each day (includes a 1:30–2:30 Lunch break)
Duration	2 days | Four 90-minute sessions
Mode	Online | Live and interactive
Organiser	Asia-Pacific Institute of Management, Jasola, New Delhi
Programme Fee	₹999
Early-Bird Fee	₹899 until 25 October 2026, two participants from the same organisation ₹799 until 25 November 2026
Tools	ChatGPT, Claude, Python (guided AI-assisted demonstrations)
Prior Coding Experience	Not essential for introductory guided demonstrations
Registration	Use the approved registration/payment QR code on the event flyer; web team to insert verified live link

Why Attend This FDP?

Management educators increasingly need to explain how AI-assisted analytics informs business decisions and research practice. This FDP bridges that gap through accessible prompts, live demonstrations and domain-specific use cases. Participants can translate these examples into classroom discussions, student assignments, placement preparation and research workflows.

Two-Day Learning Schedule

Day / Time (IST)	Focus	Illustrative Learning Activities
18 December | 12:00–1:30 PM	Generative AI for Research	Prompt design; research questions; data preparation; AI-assisted Python; demonstration of PLS-SEM workflow and interpretation
18 December | 1:30–2:30 PM	Break	Lunch / screen break
18 December | 2:30–4:00 PM	AI in HR and Finance	HR analytics, workforce decisions, financial analysis and scenario-based prompts
19 December | 12:00–1:30 PM	AI in Operations and Health Management	Process improvement, forecasting, inventory and operational decision cases; healthcare operations, resource allocation and patient-service workflows
19 December | 1:30–2:30 PM	Break	Lunch / screen break
19 December | 2:30–4:00 PM	AI in Marketing and Teaching	Customer insights, campaign decisions, classroom case design, assignments and wrap-up

Programme Highlights

• Live, hands-on exploration of ChatGPT and Claude
• Basic and structured prompt writing for decision-making
• AI-assisted Python demonstration for data analysis and PLS-SEM outputs
• Business applications in HR, Finance, Operations and Marketing
• Research interpretation, verification and responsible AI use
• Teaching cases, assignments and industry-oriented student readiness

Skills You Will Gain

AI and Analytical Skills	Research and Teaching Applications
Effective prompt design	Research question development
ChatGPT and Claude workflows	AI-supported literature and methodology planning
AI-assisted Python functions	PLS-SEM workflow awareness and output interpretation
Business data interpretation	Case-based management teaching
Scenario and decision analysis	Industry-relevant student assignments

Meet the Faculty and Experts

Faculty	Designation
Dr. Reshmi Manna	Professor, AI & Business Analytics
Dr. Meenakshi Sharma	Dean, Expert in HR Analytics
Dr. Smita Gupta	Assistant Professor, HR and Marketing Analytics
Dr. Shashi Gupta	Associate Professor, Financial Analytics

Who Should Attend?

Audience	Potential Benefit
Faculty members	Integrate practical AI decision-making examples into teaching
Doctoral and research scholars	Explore AI-assisted research analysis and PLS-SEM workflows
Management researchers	Improve analytical exploration and interpretation
Students	Understand introductory AI-enabled business applications
Industry practitioners	Explore domain-specific decision-support use cases

Learning Outcomes

• Create clearer prompts for research and managerial questions
• Describe practical AI use cases across four management domains
• Use guided AI prompts to generate and run basic Python analytical code
• Explain key stages of a PLS-SEM analysis and assess output critically
• Develop classroom activities and case discussions around AI-assisted decisions
• Identify limitations, privacy risks and verification needs when using AI outputs

What’s Included?

• Four live, interactive online sessions
• Guided prompt demonstrations and applied examples
• Cross-functional management use cases
• Introduction to AI-assisted Python and PLS-SEM research analysis

Certificate, access to recordings, post-session materials, or mentoring should be advertised only after AIM confirms their availability.

Registration Fees

Category	Fee
Regular Registration	₹999
Early-Bird Registration (through 25 October 2026)	₹899
Two participants from the same organisation until 25 November 2026	₹799

Note: Payment once paid is not refundable

Why Choose This FDP?

Conventional Approach	This FDP
General AI awareness	Practical AI-assisted management decision-making
Passive lectures	Live prompts and guided demonstrations
Siloed examples	HR, Finance, Operations and Marketing applications
Software-dependent methods	Introduction to AI-assisted Python workflows
Abstract research concepts	Demonstration of PLS-SEM steps and interpretation

Register Now

Join AIM’s two-day online FDP to explore how Generative AI can enhance research workflows, management decisions and teaching readiness. Limited Seats Available

REGISTRATION: 

For Enquiries

Email: smita.gupta@asiapacific.edu | Phone: +91 9289867503, +91 9311129429

Website: https://www.asiapacific.edu/

Frequently Asked Questions

Who can attend?

Faculty, doctoral scholars, researchers, students and industry professionals interested in AI-supported research and business decisions.

Do I need programming experience?

No prior coding knowledge is essential for following the introductory guided demonstrations.

Which tools will be used?

ChatGPT and Claude, with demonstrations of AI-assisted Python functions and PLS-SEM-related analysis.

Is this an online programme?

Yes. Sessions will be live and interactive online on 18 and 19 December 2026.

Will I learn PLS-SEM?

The FDP introduces an AI-assisted PLS-SEM workflow and output interpretation; it is not a substitute for a full advanced SEM course.

What is the fee and early-bird deadline?

₹999 regular fee; ₹899 for registrations completed by 25 October 2026, Two participants from the same organisation ₹799 until 25 November 2026.

Will participants receive a certificate?

Yes, Sample Certificate

Certificate Issuance Criteria – FDP (18–19 December 2026)

• Mandatory Attendance: Participants must attend at least 3 out of 4 sessions (75% attendance).
• Programme-End Assessment: Participants must appear for the online quiz conducted on 19 December 2026 (Day 2).
• Minimum Qualifying Score: Participants must secure at least 40% marks in the programme-end quiz.
• Certificate Eligibility: A Certificate of Participation will be issued only to participants who fulfil both the attendance and quiz requirements, and will be mailed to the corresponding address given in their registration form.

How do I register?

Use the official registration link or payment QR code published by AIM.