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Faculty Development Programme

Faculty Development Programme Dummy

Faculty Development Programme Dummy

 
 
Faculty Development Programme (FDP)

Elevating Academics with Generative AI

Teaching, Research, and Administration

• Dates: 16–20 November 2026 • Mode: In-Campus Offline
5 Days
Programme Duration
Intensive Cohort
30 Hours
Total Contact Hours
Hands-On & Lab-Driven
30
Seats Available
First-Cum-First-Serve
₹25,000
Programme Fees
+ 18% GST Applicable

Programme Objective

The Faculty Development Programme (FDP) on Elevating Academics with Generative AI: Teaching, Research, and Administration is designed to empower academic leaders and educators with the strategic knowledge and practical skills to seamlessly integrate Generative AI into higher-education workflows.

Designed as an immersive 5-day experience, the programme aims to enhance instructional design, elevate research rigor, streamline administrative responsibilities, and foster a culture of responsible AI governance across academic institutions.

  1. Enhance Instructional Design: Leverage AI to co-create syllabi, design engaging content, and foster personalized learning environments.
  2. Innovate Assessment Strategies: Redesign assessments to test higher-order thinking and implement AI-resilient evaluation frameworks.
  3. Accelerate Research Productivity: Utilise AI tools for literature reviews, synthesis, and structured academic writing without compromising research and publication ethics.

Target Audience

Recommended Profiles

  • University and College Faculty Members.
  • Department Heads, Curriculum Designers, and Doctoral Scholars [final stages of thesis].
  • Institutional Leadership involved in academic policymaking.

Who Should Attend

Programme Suitability

This programme is tailored for higher education faculty, department heads, curriculum designers, researchers, and academic administrators who wish to modernize their pedagogical and operational practices by integrating GenAI.

Programme Details

Duration
5 Days [30 total contact hours]
Delivery Mode
In-campus offline mode (Interactive workshops, tool demonstrations, and guided implementation).
Programme Dates
16–20 November 2026
Pedagogy
Live Sessions Hands-on Exercises Case Studies Capstone Project

Programme Content & Tools

Module 1: GenAI Landscape, Platforms, and Risk Mitigation
This foundational module provides an overarching view of the Generative AI ecosystem, covering core architectures such as Retrieval-Augmented Generation (RAG) and Agentic AI, alongside a hands-on introduction to dominant AI platforms. Participants critically explore risk factors, including algorithmic bias, hallucinations, and accurate citation practices. Key learnings focus on working with modern AI, mitigating ethical risks in output, and initiating a capstone project.
Module 2: Communicating with AI: Prompt Techniques and Custom Assistants
Focusing on practical execution, this module equips educators with systematic prompt methodologies to extract optimal performance from large language models. Attendees move beyond basic prompting to build custom academic agents and complete a hands-on Capstone phase focused on course mapping, assignment creation, and the integration of faculty judgment. Key learnings include creative coursework design and assessment criteria that constructively incorporate AI tools.
Module 3: AI-Driven Pedagogical Innovation and Personalisation
This module reimagines traditional classroom paradigms by embedding AI into curriculum development, lesson planning, personalised learning, and summative assessment. The module also focuses on constructing and implementing actionable course-level AI policies. Key learnings emphasise drafting AI-enhanced teaching plans, structuring adaptive assessments to meet diverse student needs, and developing enforceable, transparent AI-use policies for classroom settings.
Module 4: AI for Advanced Research Productivity and Ethical Governance
Tailored for research scholars and academic leaders, this module addresses institutional AI ethics and governance, as well as practical frameworks for utilising AI as an end-to-end research assistant. Through structured Capstone exercises, participants will leverage AI across core research stages from problem formulation and literature mapping to methodology selection and analysis design. Key learnings centre on ethical AI communication, accelerating academic research workflows without compromising integrity, and the structured formulation of methodologies using intelligent assistants.
Module 5: Research Evaluation and Strategic AI Roadmap
The final module bridges research critique with academic administration, training faculty to critically review research papers using GenAI. The programme will culminate in a strategic planning where participants synthesise their learning into a comprehensive institutional AI roadmap. Key learnings focus on executing rigorous peer-review analyses with AI support, optimising administrative efficiency, and formulating executive roadmaps for campus-wide AI integration.
Tools: GenAI Platforms and Tools

Expected Learning Outcomes

The Faculty Development Programme on Generative AI delivers transformative outcomes for both individual educators and the wider institution by equipping participants with AI literacy, prompt engineering mastery, and workflow automation skills. Key deliverables include tangible pedagogical assets such as redesigned, AI-integrated course syllabi, AI-resilient assessment frameworks, and personalised research toolkits for literature synthesis. At the institutional level, the programme yields strategic roadmaps and academic integrity policy discussions, ensuring sustainable, ethical, and high-impact AI adoption across all departments.

Assessments

Live hands-on exercises and Capstone Project.

Programme Deliverables

  • Each participant will receive reading material and the case studies as applicable.
  • Upon successful completion of the programme, participants will receive a Certificate of Completion from IIM Kashipur.

Programme Fees

₹25,000/-
+ 18% GST Per Participant
Excluding Lodging and Boarding
Stay arrangements must be made by the participants themselves. The working lunch and the AM/PM Tea between sessions will be provided by IIM Kashipur.

Important Dates

Last Date
20 October 2026
Registration Closes
Programme Dates
16–20 November
Year 2026
Batch Capacity
30 Seats
Only
Selection Process
First-Cum-First-Serve
Limited Cohort

Admission Process

1
Register Online

Fill out the online application form ().

2
Make Payment

Pay through UPI QR code or direct SBI bank account details provided below.

3
Send Confirmation

Email downloaded registration form & transaction slip (UTR No.) to the fdp[at]iimkashipur[dot]ac[dot]in.

UPI Payment

UPI ID: indian922@upi
Merchant Name: Indian Institute of Management Kashipur
UPI QR Code
Scan with any UPI App (GPay, PhonePe, Paytm, BHIM)

Bank Details (NEFT / RTGS)

Account Name: IIM Kashipur
Account Number: 33809601691
Bank Name: State Bank of India
Branch: IIM Kashipur Branch
IFSC Code: SBIN0017263
Next Step: After making the payment, please email the filled registration form and transaction details (Full Name, UTR / Transaction No., Mobile Number, and Email ID) to fdp[at]iimkashipur[dot]ac[dot]in.

Programme Faculty Profiles

Prof. Mayank Sharma

Prof. Mayank Sharma

Prof. Mayank Sharma is an Associate Professor in the Information Technology & Systems area at the Indian Institute of Management Kashipur. He holds a PhD in Information Systems from the Indian Institute of Management (IIM) Lucknow. His academic and professional work lies at the intersection of Information Systems, Analytics, Artificial Intelligence, and emerging digital technologies. His teaching and training areas include Generative AI, Prompt Engineering, AI & Business Analytics, Digital Transformation, and Social Media & Web Analytics. He also mentors a working group of the Institute of Actuaries of India, contributing to AI governance and professional education

Prof. Rajiv Kumar

Prof. Rajiv Kumar

Prof. Rajiv Kumar is an Assistant Professor in the Information Technology & Systems area at the Indian Institute of Management Kashipur. He holds Ph.D. in Information Systems from Indian Institute of Management (IIM) Ranchi. He is M. Tech in media and sound engineering from Indian Institute of Technology (IIT) Kharagpur. He also has worked with Samsung India Software Operation Pvt. Ltd and Texas Instrument (India) Pvt. Ltd. He has teaching interest in MIS, Computational Tools for Business, Business Intelligence & Analytics, AI and Machine Learning, Business Research Methods, and Data Analytics Using R & Python. His research includes E-services, Machine Learning & Deep Learning, Impact of Artificial Intelligence, Dark Side of Digital Transformation, Technology and Society, and Diffusion of Innovation/Technology Adoption.

Prof. Harish Kumar

Prof. Harish Kumar

Prof. Harish Kumar is an Assistant Professor in the Information Technology & Systems area at the Indian Institute of Management Kashipur. He holds Ph.D. in Information Systems from Department of Management Studies, Indian Institute of Technology (IIT) Delhi, and M. Tech. from International Institute of Information Technology (IIIT) Hyderabad. His research and teaching areas include Artificial Intelligence, Metaverse, Visual Analytics, Digital Transformation and Data Visualization & BI reporting.

Prof. Ben Krishna

Prof. Ben Krishna

Prof. Ben Krishna is an Assistant Professor in the Information Technology & Systems area at the Indian Institute of Management Kashipur. He holds PhD in Information Systems from the Indian Institute of Management (IIM) Kozhikode, complemented by an MBA and an undergraduate degree in engineering a combination of technical, managerial, and research training. Before entering academia, he spent several years in the IT services industry in roles spanning software development and business analysis. His teaching includes MIS, E-Commerce, Information Security Governance, Generative AI and Prompt Engineering Strategy, and Data Science & Machine Learning. His research examines information security, security policy compliance, cyber hygiene, financial technology adoption and digital payment usage. He has been awarded with the Research for Impact (RFI) Fellowship hosted by J-PAL/CLEAR South Asia, recognising research oriented toward measurable social and policy outcomes.

Contact Details

Mr. Manoj Sharma

Manager, Executive Education and MDP

Indian Institute of Management Kashipur

Mobile: +91-8770573698  |  Email: fdp[at]iimkashipur[dot]ac[dot]in

Ready to Elevate Academic Practice with Generative AI?

Limited to 30 participants. Register before 20 October 2026.

INFO

CONTACT

Indian Institute of Management Kashipur Kundeshwari, Kashipur-244713 Uttarakhand

Phone : +91-7088270882, 7900444090,91,92,93

Email :  info[at]iimkashipur[dot]ac[dot]in

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