POST GRADUATE CERTIFICATE PROGRAMME IN AI & GEN AI FOR MANAGERS – BATCH 01
Indian Institute of Management Nagpur (IIM Nagpur)
About Programme
The PG Certificate Programme in AI and Gen AI for Managers by IIM Nagpur is an eight-month learning journey designed to help professionals lead in an AI-driven business environment. As a focused Generative AI course for managers, the programme combines a structured five-module curriculum with a two-day campus immersion to support working professionals across industries. It offers the space to understand AI clearly, build practical leadership skills, and approach intelligent technologies with confidence, preparing participants for real-world decision making and transformation challenges.
The programme includes core modules commonly found in leading AI certification courses in India, covering AI fundamentals, Generative AI applications, and functional use across marketing, finance, HR, supply chain, and operations. Participants learn how to evaluate opportunities, manage risks, and plan responsible adoption through a practical AI course for managers approach. It also covers ROI assessment, governance, and cross-functional implementation, drawing from proven frameworks for enterprise AI. By the end of this Gen AI certification programme, participants gain a clear, step-by-step understanding of how to translate AI capability into measurable business impact.
Programme Content
Module 1: AI and GenAI Fundamentals
Module 2: Applied Machine Learning and Advanced AI Frameworks
Machine Learning Tools: Python for Business Applications
Supervised Learning: An Overview of Key Algorithms
Business Intelligence Through Unsupervised Learning
Big Data and Deep Learning: Managing Complex Data at Scale
Convolutional Neural Networks: Applications in Image and Text Analysis
AI Tools Introduced*
TensorFlow, PyTorch, Hugging Face – Conceptual walkthroughs, visual illustrations of model pipelines, and demonstrations explaining how AI models are built and deployed.
Module 3: Leveraging AI Applications Across Business Domains
1.AI for Transforming Healthcare Operations
Predictive modelling for patient outcomes and enhanced care delivery
Extracting actionable insights from electronic health records and patient feedback using NLP
2. Operational Excellence with AI in Supply Chain Management
Predictive maintenance in manufacturing using AI
Advanced fraud detection mechanisms to safeguard supply chains
3. Advancing E-commerce with AI
Customer feedback mining in e-commerce
Fraud detection in online transactions
4. AI-Driven Marketing and Sales Optimisation
Inventory management with predictive models
Personalised product recommendations with AI
5. Improving Entertainment Using AI
Personalised video recommendations
Analysing audience reviews for content improvement
6. AI-Enabled Human Resource and Talent Management
AI-powered tools for screening and evaluating candidates
Performance optimisation: AI-based methods for employee assessment and career growth planning
AI Tools Introduced*
Copilot and Domain-Specific AI Applications – Case-based exercises and applied assignments across business functions such as marketing, HR, finance, and operations.
Module 4: Strategic Aspects of AI and GenAI
Strategic AI Management: Aligning AI with Business Goals
The Intersection of GenAI and Human Creativity
Managing AI Risks: Industry Guidelines for Safe AI Deployment
Selecting the Right Projects: Identifying AI-Driven Opportunities
Integrating AI into Expert Teams: Enhancing Collaboration
Scaling AI in Organisations: Strategies for Growth and Adoption
Generative AI for Sales: Transforming Customer Engagement
AI Tools Introduced*
AI Tools in Strategic Contexts – Managerial discussions, strategic frameworks, and project work exploring AI governance, vendor selection, organisational adoption, and scaling AI initiatives.
Capstone Project: Implementing AI for Business Impact
Bonus Module: Agentic AI Topics
Case Study
5 levels of agentic AI
Guide to build Agentic AI
Business Model on Economics Agentic AI
Human Agent Collaboration
**Disclaimer
Curriculum matrix subject to change based on emerging industry trends and academic requirements.
The tools listed above are indicative and may vary based on faculty discretion and evolving industry practices.
Complimentary access to Advanced LLM Development in Generative AI
Programme Audience
Bachelor's degree from a recognised institution
Minimum three years of professional work experience