The Generative AI in Operations Supply Chain course helps learners understand how AI is transforming operations, logistics, production planning, forecasting, and supply chain decision-making. Today, businesses need faster planning, smarter resource use, better visibility, and more resilient supply networks. Therefore, practical GenAI skills are becoming important for future-ready operations roles.
Through this course, learners explore how Generative AI can support demand forecasting, inventory optimization, workforce scheduling, supplier evaluation, route planning, warehouse automation, digital twins, predictive maintenance, and sustainable operations. In addition, the course connects AI concepts with real operations and supply chain use cases.
Moreover, learners understand both the opportunities and responsibilities of using AI in operational workflows. As a result, participants become better prepared to apply GenAI responsibly in logistics, planning, manufacturing, procurement, and supply chain management.
By completing this Generative AI in Operations Supply Chain course, learners will understand how AI can improve operational efficiency, planning accuracy, logistics performance, and supply chain resilience.
Overall, this course helps learners optimize, automate, innovate, and redefine operations with Generative AI.
Optimize, Automate, and Innovate - Redefine Operations with Generative AI.
The Generative AI in Operations Supply Chain curriculum is divided into nine practical learning sections. Each section helps learners understand how Generative AI, operations planning, logistics, automation, sustainability, and supply chain intelligence work together.
In addition, the course begins with GenAI fundamentals and gradually moves toward operations planning, logistics, digital twins, predictive maintenance, sustainability, and smart operations. As a result, learners build both conceptual clarity and practical operations-focused AI skills.
The Generative AI in Operations Supply Chain course is suitable for learners and professionals who want to understand how AI can improve operations, logistics, production planning, procurement, and supply chain performance.
Therefore, this course is ideal for learners who want practical exposure to AI-enabled operations and future-ready supply chain skills.
Learners receive structured course resources, practical exposure, and certification support throughout the program. In addition, the course provides learning material that helps participants revise concepts and apply them beyond the classroom.
Furthermore, these resources help learners understand how AI-powered operations are used in manufacturing, logistics, procurement, warehousing, and supply chain management.
The project submission process helps learners apply operations and Generative AI concepts in a practical and structured way. Therefore, participants complete project work to demonstrate their understanding, originality, and professional application.
First, explore the project topics available in the LMS. Review the project description, learning outcomes, and required skills before selecting your topic.
If required, ask your guide or mentor for support. After that, finalize your topic and begin your project work.
Once your project report is complete, follow the project submission guidelines for formatting, font, spacing, citations, and originality.
Your report will go through a plagiarism check. Therefore, keep the work original, properly structured, and clearly written.
Finally, upload your final PDF report and any supporting files to the LMS.
After submission, your project is evaluated by an organization mentor and an internal faculty supervisor.
The evaluation focuses on report quality, depth of understanding, concept application, problem-solving skills, professional behaviour, and timely submission. In some cases, a viva or presentation may also be required.
Credits may be awarded as per applicable UGC NEP 2020 guidelines. In addition, your internship certificate will be issued after report approval, evaluation completion, and uploading of the required organization certificate.
Thereafter, learners can download the internship completion certificate directly from the LMS.
After completing the Generative AI in Operations Supply Chain course, learners will be ready to apply Generative AI to improve operational agility, planning accuracy, and supply chain resilience.
In addition, participants will understand how AI supports forecasting, logistics optimization, supplier management, inventory planning, digital twins, predictive maintenance, and sustainable operations.
Overall, this course prepares learners to design AI-driven strategies that make organizations smarter, faster, more resilient, and future-ready.
Explore Internship Courses – Benefits and Offerings to understand how SkillGroom programs support practical learning, project submission, certification, and career-focused development.
Also, learners can browse related GenAI internship courses to build wider expertise in finance, marketing, HR, operations, data science, IoT, cybersecurity, and AI foundations.
Finally, choose the course that best matches your career goals and begin building practical skills for the future of operations, logistics, and supply chain management.
