Gen AI for Project Management

Program Objectives:

• Understand the nature of risk and uncertainty in project environments.
• Latest Frameworks, tools, and techniques for identifying, assessing risks.
• Build a strong foundation in the principles and practical methodologies of generative AI for use across project planning, execution, and optimization.

Learning Outcomes:

• Introduce automation strategies for routine project tasks to improve efficiency, accuracy, and resource allocation.
• Understand the project scenario and identify project risk scenarios.
• Implement traditional approaches and ML models to classify, prioritize and assess project risk.
• Design a risk response plan for project activities.
• Enable to use Generative AI for project planning and documentation, communication and reporting, risk analysis and mitigation, automation of repetitive project tasks, strategic alignment and decision support.

Day 1:

Session 1 and 2: Project Management Fundamentals

• Project - Program - Portfolio Overview
• Nature of projects
• Project Lifecycle Stages
• Project Management Methodologies
• Complexities in projects
• Discussion of past projects- failure and success

Session 2 and 3: Introduction to Generative AI

• What is Generative AI? (LLMs, transformers, prompt engineering basics)
• Artificial Intelligence Overview
• Machine Learning Basics
• Deep Learning Essentials
• Natural Language Processing (NLP)
• Generative AI Fundamentals
• Difference Between Traditional AI and GenAI

Day 2:

Session 1 and 2: Fundamentals of Risk & Uncertainty in Project Management

• Types of Risks
• Risk Identification Frameworks and Techniques
• Risk vs. Uncertainty
• Risk Breakdown Structure (RBS)
• Risk Management Strategies
• Stakeholder and Contract Management

Hands-On Activity

Session 3 and 4: AI-Augmented Project Planning

• Evolution of AI in project and business environments
• Integrating GenAI in Project Management
• Assessing Project Suitability for GenAI
• Data Readiness Matters
• Choosing the Right GenAI Tools
• Essential Skills for Working with GenAI

Live projects exercises

Day 3:

Session 1 and 2: Risk Assessment and Decision Support with Generative AI

• Identifying project risks using AI prompts
• Scenario planning and risk mitigation strategy generation
• Decision trees and impact analysis using LLMs
• Logistic Regression for predicting probabilities of risk
• Ethical boundaries and explainability of AI-generated decisions

Group exercises and presentations

Session 3 and 4: Gen AI and Agentic AI for Task Automation

• AI for Communication, Collaboration, and Reporting
• What is Agentic AI?
• Generative AI vs Agentic AI – What’s the Real Difference?
• How Agentic AI Works
• Autonomous task agents, multi-step execution
• Agentic AI as a Self-Driving PM Assistant

Group exercises and presentations

Target Participants:

Mid to senior level professionals

1. Registration fees include the following:

For all the participants:

• Classroom sessions
• Reading material
• Registration kit
• Internet and Library access
• Hard Copy Certificate for Course Completion at the end of the programme

Residential participants:

• Single occupancy AC rooms in the MDP hostel
  Check-in and check-out time: The earliest check-in time 3.00 pm (one day before program commencement
  The latest checkout time is 10.00 am (one day after program completion)
• Tea, breakfast, Lunch, dinner in working hrs.

Non Residential participants:

• • Breakfast, Working Lunch, tea & snacks

    Registration Terms & Conditions:

    A. Upon payment of program fees registrations are tentatively confirmed. The final confirmation on the commencement of the program shall be communicated latest 2 weeks before (offline program) & 1 week before (online program) for the scheduled start date of the program.
    B. Refund policy
    Fees once paid can be adjusted up to 1 financial year against future nominations only. In case a course is canceled on account of inadequate participation or any other unforeseeable reasons, the participants will be informed of the cancellation by e-mail or Fax and the fee will be refunded. IIM Mumbai will not be liable for any other expenses incurred by the company or the participant. Any transaction fee will not be refunded.
    C. IIM Mumbai is not responsible for any other expenses borne by the participants due to rescheduling/cancellation of its MDPs.

    2. Individual Registration

    If you wish to register & make payment, please click here Register

    3. Company-sponsored / Bulk Registration:

    • In the case of company-sponsored candidates, please share the nomination list and GST details to program@iimmumbai.ac.in for invoice generation.

      Download the INVOICE DETAILS FORM

    • Note: Discount is applicable for 5 or more participants from same organization against invoice.