Generative AI in Operations & Supply Chain

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Generative AI in Operations & Supply Chain

COURSE OVERVIEW

Transform your operations and logistics management with the power of Generative AI. This course explores how AI-driven insights can revolutionize supply chain efficiency, production planning, and decision-making.
Learn to forecast demand, optimize resources, automate processes, and build sustainable, intelligent supply networks. Ideal for professionals seeking to integrate next-generation AI tools into core operational workflows.

WHAT YOU'LL LEARN

By the end of this course, you’ll be able to:

Apply Generative AI for forecasting, planning, and operational efficiency.
Use AI for logistics, supplier management, and real-time decision-making.
Leverage AI-driven digital twins and predictive analytics for smarter operations.
Build sustainable and resilient AI-enabled supply chains.

Optimize, Automate, and Innovate - Redefine Operations with Generative AI.

CURRICULUM

Module 1: Introduction to Generative AI and Its Evolution

Topics Covered:

Discover what makes Generative AI revolutionary. Learn about its origins, evolution, and impact on industries.

What is Generative AI (GenAI)?
History and milestones in AI development
Traditional AI vs Generative AI
Key drivers: Big data, compute power, neural networks
Real-world applications
Limitations and ethical considerations

Module 2: Fundamentals of Large Language Models (LLMs)

Topics Covered

Understand how LLMs like GPT and BERT work behind the scenes and their responsible use.

How LLMs work (Transformers, Attention Mechanism)
GPT, BERT, T5, PaLM – comparisons & use cases
Training vs Inference
Prompt engineering basics
Zero-shot, few-shot, fine-tuning
Responsible use of LLMs

Module 3: Generative AI Tools and Platforms

Topics Covered

Explore the most popular and powerful AI tools used worldwide.

ChatGPT, Bard, Claude, Bing AI, GitHub Copilot
Image generation: DALL·E, Midjourney, Stable Diffusion
AI for video, music, and voice
Open-source vs Proprietary GenAI tools
Tool selection based on your goals

Module 4: Prompt Engineering and Task Design

Topics Covered

Master the art of writing precise prompts and designing AI-driven tasks.

Anatomy of a good prompt
Prompting strategies: Zero-shot, few-shot, chain-of-thought
Task types: summarization, translation, code generation, etc.
Tool-specific prompting examples (ChatGPT, Claude, Bard)
Avoiding hallucinations and bias via prompt tuning

Module 5: Ethical, Legal, and Societal Implications of GenAI

Topics Covered

Understand the moral and professional boundaries of using AI responsibly.

AI hallucinations, plagiarism, misinformation
Bias and fairness in LLMs
Copyright and content ownership
AI and job displacement
Global perspectives on AI regulation
Responsible AI frameworks (OECD, EU AI Act)

Module 6: GenAI in Everyday Productivity & Collaboration

Topics Covered

Turn AI into your productivity partner and workplace assistant.

Writing, summarization, and content creation with AI
AI in Excel, PowerPoint, CRM, and Docs
Workflow automation with Zapier and Make
AI for meetings, brainstorming, and reporting
Chatbots and virtual assistants

Module 7: AI in Operations Planning

Topics Covered

Discover how GenAI enhances planning accuracy and streamlines production.

Demand forecasting & inventory optimization with GenAI
AI-generated scheduling & workforce planning
AI in lean manufacturing & process optimization
Case study: AI in just-in-time operations

Module 8: Supply Chain & Logistics with AI

Topics Covered

Learn how AI transforms supply chain visibility, logistics efficiency, and sourcing automation.

AI-powered supplier evaluation & sourcing automation
Route optimization and logistics with GenAI
AI-driven risk management in global supply chains
Case study: AI-enabled warehouse automation

Module 9: Future of Smart Operations

Topics Covered

Explore next-gen AI tools driving sustainability, automation, and operational intelligence.

AI digital twins for operations simulation
Predictive maintenance with GenAI-generated insights
Sustainable operations & green AI supply chains
Ethics & governance in AI-driven operations

WHO SHOULD ENROLL

Operations and supply chain managers aiming to leverage AI for efficiency
Manufacturing, logistics, and procurement professionals
Business analysts and data strategists exploring AI in operations
Students and professionals aspiring to enter AI-driven industrial roles

WHAT YOU'LL GET

Industry-recognized certification upon completion.
Hands-on exposure to GenAI tools for operational decision-making
Templates and frameworks for AI-led planning and forecasting
Real-world case studies on AI in manufacturing and logistics
Access to Course Content

PROJECT SUBMISSION

Choose Your Project Topic

- Explore the project topics available in the LMS.
- Check the project description, learning outcomes, and required skills.
- Ask your guide/mentor if you need help selecting a topic.
- Finalize your topic and proceed.

Submit Your Project

- Follow the Project Submission Guidelines (format, font, spacing, citations).
- Your report will go through a plagiarism check, so keep it original.
- Upload your final PDF report and any supporting files to the LMS.

Project Evaluation

- Your project is evaluated by:
  - Organization Mentor
  - Internal Faculty Supervisor
- They assess you on:
  - Quality and clarity of your report
  - Depth of understanding
  - Application of concepts to real tasks
  - Problem-solving skills
  - Professional behaviour and timely submission
  - Viva/Presentation (if required)
- Credits (2–4) are awarded as per UGC NEP 2020 guidelines.

Certificates & Results

- Your Internship Certificate will be issued after:
  - Report approval
  - Evaluation completion
  - Uploading the organization certificate
- Download your Internship Completion Certificate directly from the LMS.

OUTCOME

By completing this course, you’ll be ready to:

Apply Generative AI to enhance operational agility and supply chain resilience.
You’ll gain the expertise to design AI-driven strategies for forecasting, logistics, and sustainability – making your organization smarter, faster, and future-ready.