Global Online Certification Course on

Generative AI For Data-Driven Business Decision-Making

Get mentored by IIM professors and industry experts who build real-world AI solutions.
Learn to use GenAI to solve high-impact business problems; from decision support to supply chain strategy, simulation, and optimization.
Earn a prestigious certificate from one of India’s top IIMs on successful completion.

Batch Starts

22 Apr 2026

Course Duration

6 Weeks

Live Classes

5 Hours/Week

Eligibility

12th Pass and Above

Learning Mode

Online

Program Chair

Prof. David Simchi-Levi, Prof. Manoj K. Tiwari

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1.1K+ students have already registered

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Why Choose This Course?

Learn with IIM's Strategic Depth, Lead with Global Impact.

Learn from World-Class Faculty

Learn from globally renowned faculties: Prof. David Simchi-Levi from MIT, USA, and Prof. Manoj K. Tiwari, Director of IIM Mumbai.

Follow a Globally Benchmarked Curriculum

Learn through an industry-aligned GenAI curriculum that combines global best practices with real-world enterprise and India-specific business use cases.

Learn to Build Real-World GenAI Decision Systems

Develop expertise in Generative AI foundations, enterprise analytics, LLMs, optimization, simulation, and decision-focused AI tools through classroom case studies.

Earn a Prestigious Certificate

Receive a certificate upon successful completion, adding credible value to your professional profile.

*Certificate Eligibility: Certification criteria includes maintaining 75% attendance and completing at least 3 of the 5 quizzes in the program

What Will You Learn?

Master GenAI for enterprise decision-making - build foundational understanding in LLMs, analytics, and decision intelligence, then apply simulation, optimization, and RAG. Learn to design and govern deployable solutions for real-world business challenges.

What Will You Learn?

Toolkit

Tool 1
Tool 2

Course Details

Duration

6 Weeks

Course Mode

Online: Sat, Sun (5:00 PM – 7:30 PM)

Certification

from IIM Mumbai

Week 1: Foundations of Generative Artificial Intelligence for Business
  • What makes Generative AI different from traditional analytics and automation
  • Evolution from basic ML → deep learning → NLP → LLMs
  • How LLMs work conceptually (tokens, transformers, next-token prediction)
  • LLM capabilities and limitations in enterprise settings
Week 2: Decision Support and Value Realization with Large Language Models
  • LLMs as decision copilots: decision briefs, structured outputs, and rationale generation
  • Scenario planning and sensitivity analysis with GenAI
  • KPI-driven value measurement and ROI estimation
  • Adoption models: workflows, change management, and decision governance
Week 3: Autonomous Supply Chain Systems: Design Principles and Governance
  • Autonomy maturity models and decision delegation frameworks
  • Human-in-the-loop automation, exception handling, and escalation design
  • Guardrails, auditability, compliance constraints, and monitoring
  • Operational risk controls for autonomous decision systems
Week 4: Simulation-Based Analysis of Supply Chain Coordination with Generative AI
  • Bullwhip effect, information delays, and oscillations
  • Coordination mechanisms: shared forecasts, centralized reasoning, distributed control
  • GenAI-assisted policy testing through simulation
  • Performance evaluation: service, cost, stability, and recovery time
Week 5: Generative AI for Optimization-Driven Decision-Making
  • Optimization formulation: objectives, constraints, feasibility, and sensitivity analysis
  • GenAI as a natural-language interface to optimization modelling
  • Decision validation through solver-backed guardrails
  • RAG pipelines
Week 6: Enterprise Deployment and Operationalization of Generative AI Decision Systems
  • Enterprise architecture: RAG + tool-use + orchestration + execution integration
  • Scaling patterns: caching, batching, routing across model sizes
  • Memory-constrained inference and online scheduling of LLM workloads
  • Observability and governance: monitoring, audit trails, drift detection, incident response
  • Frameworks: LangChain / LangGraph, LlamaIndex, evaluation harnesses

Distinguished Faculty. Global Experts.

Prof. David Simchi-Levi

Prof. David Simchi-Levi

Professor, MIT USA – 
Business & Supply Chain Analytics

Prof. David Simchi-Levi organization

Prof. Simchi-Levi is a Director, Data Science Lab, Massachusetts Institute of Technology, USA. He is a 2023 National Academy of Engineering inductee and recipient of the 2020 INFORMS Impact Prize. He has worked with multiple international companies like Caterpillar, ConAgra, Kraft Foods, Mercer Management, Ryder, SC Johnson, UPS, U.S. Postal Service, Walgreens, etc.

Prof. Manoj K. Tiwari

Prof. Manoj K. Tiwari

Director, IIM Mumbai

Prof. Manoj K. Tiwari organization

Prof. Manoj K. Tiwari is a Recipient of the David F. Baker Distinguished Research Award from the Institute of Industrial & Systems Engineers (IISE, USA). Ranked amongst the top researchers worldwide, he has received accolades like the 'Most Influential Researcher Award' and IISE's David F. Baker Distinguished Research Award in the domain of Operations and Supply Chain Management.