AI Foundations for Supply Chain Management
Overview
Presented by a team of AI, and supply chain experts, this course provides participants with foundational skills necessary for undertaking AI-based projects in day-to-day business operations.
The course draws upon the industry experiences of the facilitators and requires no prior technical knowledge. Participants will gain hands-on experience with state-of-the-art AI-powered platforms that do not require any coding skills.
This course can be completed in self-paced study mode and is a pre-requisite for participants in AI Projects for Supply Chain Management if they have not completed Strategic AI and Data Science for Supply Chain Management in the previous two-year period.
What you'll learn
Upon completing this microcredential, participants will be able to:
- Apply appropriate AI technologies for different procurement and supply chain challenges.
- Work with different generative AI platforms and strengthen their prompt engineering capabilities.
- Use no-code machine learning platforms for predictive applications in supply chain planning contexts.
- Increase their readiness for undertaking AI projects in business operations.
Institute of Transport and Logistics Studies
This microcredential is led by Dr Jyoti Bhattacharjya from the Institute of Transport of Logistics Studies and supported by GS1 Australia and Dataiku.
Established in 1991, ITLS aims to contribute to the design, management and optimisation of infrastructure, transport, logistics and supply chain initiatives around the globe.
Program details
This short course consists of 4 modules:
1. Introduction; AI Technologies for Resilient and Sustainable Supply Chains (3.5 hours)
Description: This workshop helps participants gain an appreciation for the range of AI technologies that could be applied for increasing resilience and sustainability in procurement, logistics and supply chain management.
2. Responsible AI and AI Governance (3.5 hours)
Description: This module guides participants in completing AI project business cases in the context of scenarios introduced in the previous session. Participants will collaboratively develop the business cases using a given template while considering costs, risks and stakeholder perspectives.
3. Generative AI Competency for Supply Chain Professionals (7 hours)
Description: This two-part masterclass provides participants with a comprehensive understanding of relevant generative AI platforms and helps them develop their prompt writing skills using many real operational examples drawn from the facilitator’s work and research experiences.
4. Machine Learning Competency for Supply Chain Professionals, Wrap-Up (7 hours)
Description: In this two-part masterclass participants will learn to use machine learning tools in supply chain planning contexts. The module closes with a synthesis of key takeaways from the course.
For further information, contact ai.micro-credentials@sydney.edu.au
This course is designed for professionals who want to translate AI strategies into practical, applied solutions:
- Business analysts and implementation specialists working in supply chain, logistics, retail, and related sectors.
- Mid-level managers and technical leads responsible for introducing and scaling AI in their organisations.
- Participants in AI Projects for Supply Chain Management if they have not completed Strategic AI and Data Science for Supply Chain Management (or equivalent coursework) in the previous two-year period.
- Individuals seeking to build a portfolio of AI projects to strengthen their career prospects in supply chain and digital innovation.
The course is delivered as a self-paced course. All learning materials will be available via our e-learning system. Participants will have access to online one-on-one and group consultation sessions from our facilitators as needed.
Standard enrolments:
- New enrolments: $720
Materials
All course materials are provided electronically through our Learning Management System (LMS) called Canvas 2. After enrolment, you will receive an email with instructions on how to access the LMS. If you have been enrolled in Canvas 2 before, log in using the email address you enrolled with.
Software
This course uses Dataiku: https://www.dataiku.com/"
Participants will need to complete four reflection tasks in relation to the content covered in the four modules.
All courses must be paid in advance of commencing your course. We accept the following payment methods:
- Mastercard
- Visa
- American Express (only available for enrolments made through the Sydney Short Courses website)
- Electronic Funds Transfer (for company invoices only)
- Journal Transfer (for University of Sydney Staff only)
Please see our Payment Options for further information.
I have enrolled in a Sydney Short Courses course, what happens now?
Once your enrolment has been processed, you will receive the following emails:
- Enrolment confirmation: you will receive this immediately after your enrolment has been processed.
- Tax invoice: the payer of your enrolment will receive this immediately after your enrolment has been processed.
For some courses, you may also receive the following:
- Course reminders: you will receive emails from Sydney Short Courses in the lead up to the course starting. These include information about the course and, if required, the schedule for online or face-to-face sessions.
- Course materials: if you are enrolled in a course that provides reading or other downloadable materials, you will get access to these materials prior to the class commencing.
- Online session links: you will receive reminder emails the day before and the day of each live session containing the meeting link and meeting ID.
