AI Projects for Supply Chain Management
This microcredential is designed for procurement, logistics and supply chain professionals who wish to build, test, and deliver AI-based solutions for enhancing operational resilience.
This course offers discounted rates for early bird enrolments who enrol before July 31st 2026 and students who have completed the Strategic AI and Data Science for Supply Chain Management course. See the fees section below for more information.
Overview
This microcredential is designed for procurement, logistics and supply chain professionals who wish to move beyond AI opportunity identification and strategy development to building, testing, and delivering AI-based solutions.
Presented by a team of AI, data, product and supply chain experts, this course provides participants with the practical skills, tools, and project lifecycle experience necessary to design and implement AI solutions that create measurable business impact.
Participants will gain hands-on exposure to building predictive and agentic AI solutions in the context of supply chain challenges, using no-code (Dataiku) or full-code (Python) approaches, machine learning operations (MLOps), open-source orchestration frameworks like LangChain and LangGraph and large language model interfaces such as ChatGPT and Ollama.
NOTE: Participants are expected to have completed either Strategic AI and Data Science for Supply Chain Management or equivalent coursework before enrolling in this microcredential.
What you'll learn
Upon completing this microcredential, participants will be able to:
- Develop robust business cases for AI projects in procurement, logistics and supply chain contexts.
- Design, manage and deliver AI projects from concept to deployment, using a structured lifecycle approach.
- Build and evaluate predictive AI solutions that improve forecasting accuracy, replenishment efficiency and operational visibility using no-code or full-code approaches.
- Develop and integrate agentic AI applications for workflow automation using no-code or full-code approaches.
- Apply ethical risk assessment and human-in-the-loop design in AI projects.
- Communicate project progress and results using dashboards, structured presentations and visual storytelling for executive and operational audiences.
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
The microcredential focuses on practical application, enabling participants to design, manage, and deliver AI projects aligned with real-world supply chain challenges. It consists of 9 modules delivered through a blend of live lectures, hands-on workshops, and project-based assessments:
1. Program Introduction & Workshop – Developing a Strong Problem Statement for an AI Project
Description: This module introduces the overall program and expectations regarding a substantial AI solution. It then guides participants in crafting robust problem statements for AI projects. Participants will work in groups in the context of given supply chain scenarios and gain an appreciation for the role of high-quality problem statements in effective business cases.
Presenters: Dr Jyoti Bhattacharjya, Mr Aron Wilson
Assisted by: Mr Thomas Astrum
Session date: Thursday 8 October 2026, 5:00 pm to 8:30 pm AEDT
2. Workshop – Building the Business Case for an AI Project
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.
Presenters: Dr Jyoti Bhattacharjya, Mr Hariharan Ganesan, Mr Aron Wilson
Assisted by: Mr Thomas Astrum
Session date: Saturday 10 October 2026, 9:00 am to 12:30 pm AEDT
3. Workshop – Project Business Case Presentation and Feedback
Description: During the session, participants will receive feedback to help them strengthen their business cases. Prior to attending this session, each participant will draw on skills developed during Modules 1 and 2 to create a business case for a capstone project to be undertaken in a scenario of their own choice. The proposed solution would depend on the scenario chosen and could be predictive, agentic or hybrid (i.e., a predictive AI solution enhanced with generative or agentic AI capabilities) in nature.
Assessment Panel: Dr Jyoti Bhattacharjya, Mr Thomas Astrum, Mr Hariharan Ganesan, Mr Aron Wilson
Session date: Thursday 22 October 2026, 5:00 pm to 8:30 pm AEDT
4. Workshop – Exploring Supply Chain Data Sources and Data Processing Requirements
Description: During this session, participants will consider essential data sources for their AI projects. Participants will receive practical guidance on data profiling, dataset validation, pipeline readiness and structured and unstructured data preparation for predictive modelling and automation solutions. Participants will prepare a dataset readiness and dependency checklist for their project.
Presenter: Dr Arda Gezdur, Mr Hriddhi Doley
Assisted by: Ms Tari Ghazanfari, Mr Aron Wilson
Session date: Saturday 24 October 2026, 9:00 am to 3:00 pm AEDT
5. Lecture – Predictive AI Projects for Supply Chain Planning
Description: This module covers essential skills for implementing a predictive AI project in support supply chain planning contexts. Participants will gain an understanding of MLOps best practices for streamlining the machine learning life cycle. The module will include guidance on deployment, monitoring, auditability, safety and integration into business processes.
Presenter: Dr Arda Gezdur, Mr Hriddhi Doley
Assisted by: Ms Tari Ghazanfari, Mr Aron Wilson
Session dates: Thursday 29 October 2026, 5:00 pm to 8:30 pm AEDT
6. Workshop – Getting Started with a Predictive AI Project
Description: In this workshop, participants will collaboratively develop a high-level product requirements document in relation to a given scenario and dataset. They will be guided towards developing a viable AI solution for onward deployment while considering scaling options. Participants will be able to decide whether to adopt a full-code approach (using Python) or a no-code/low-code approach (using Dataiku) for solution development.
Presenter: Dr Arda Gezdur, Mr Hriddhi Doley
Assisted by: Ms Tari Ghazanfari, Mr Aron Wilson
Session dates: Saturday 31 October 2026, 9:00 am to 3:00 pm AEDT
7. Lecture – AI Agents for Supply Chain Workflow Automation
Description: The session introduces participants to the fast-evolving field of AI agents and presents use cases in the context of supply chain management. Participants will understand how generative AI models provide content generation capabilities for AI agents and the role AI agents can play in enhancing the capabilities of predictive AI solutions. The session covers single or multi-agent design considerations for supply chain workflow automation as well as integration capabilities, safety and human-in-the-loop practices.
Presenter: Dr Arda Gezdur, Mr Hriddhi Doley
Assisted by: Ms Tari Ghazanfari, Mr Aron Wilson
Session date: Thursday 12 November 2026, 5:00 pm to 8:30 pm AEDT
8. Workshop – Getting Started with an Agentic AI Project
Description: Participants will collaboratively develop a high-level product requirements document for a single or multi-agent AI solution for a given supply chain problem scenario. They will be able to adopt either a full-code or a no-code/low-code approach for solution development. The session emphasises experimentation, rapid prototyping, and iterative design.
Presenter: Dr Arda Gezdur, Mr Hriddhi Doley
Assisted by: Ms Tari Ghazanfari, Mr Aron Wilson
Session date: Saturday 14 November 2026, 9:00 am to 3:00 pm AEDT
9. Workshop – AI Solution Presentation and Feedback
Description: During the session, participants will demonstrate the capabilities of their AI solutions and receive feedback regarding potential improvements. Prior to attending this session, participants will draw on skills developed in Modules 5, 6, 7 and 8, while developing AI solutions in the context of their chosen scenarios. The solution presented would depend on the scenario selected by the participant and could be predictive, agentic or hybrid (i.e., a predictive AI solution enhanced with generative or agentic AI capabilities) in nature.
Assessment Panel: Dr Jyoti Bhattacharjya, Dr Arda Gezdur, Mr Hriddhi Doley, Mr Thomas Astrum, Ms Tari Ghazanfari, Mr Aron Wilson
Session date: Saturday 5 December 2026, 09:00 am to 12:30 pm AEDT
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.
- Strategic AI and Data Science for Supply Chain Management alumni seeking to deepen their skills through hands-on project experience.
- Individuals seeking to build a portfolio of AI projects to strengthen their career prospects in supply chain and digital innovation.
The course modules are delivered online over 9 sessions (a total of 39 hours):
- One 3.5-hour session for each of the following modules: 1, 2, 3, 5, 7 and 9
- One 6-hour session for each of the following modules: 4, 6 and 8
- The live sessions will facilitate learning through a combination of group and individual activities.
- Participants who take the course in self-study mode will have access to session recordings via the learning management system.
- Members of the teaching team will be available for online consultation.
There are three assessments focused on the capstone project:
- Project business case presentation
- Product requirements document for AI solution
- AI solution presentation
Upon completion of this course, participants will recieve:
- Microcredential digital badge in AI Projects for Supply Chain Management
- Recognition of practical, project-based expertise in AI for business and supply chain contexts
Early bird enrolments (enrol before or on July 31st 2026):
- For University of Sydney alumni or GS1 members: $1255
- New participants from industry or government: $1455
- 3 or more enrolments from the same organisation: $1155 per person
Standard enrolments (enrol from August 1st 2026):
- For University of Sydney alumni or GS1 members: $1455
- New participants from industry or government: $1655
- 3 or more enrolments from the same organisation: $1355 per person
Enrolment in this course is via application. To apply, follow these steps:
1. Click the "Apply now" button under "Upcoming classes" to add the course to your cart. Then proceed to checkout by clicking "Checkout now" or the cart icon at the top right of the page.
2. Answer all required application questions, then proceed to the Confirmation screen. The total will display as $0, as submitting an application is free.
3. Review our Terms and Conditions and tick the box to confirm your agreement.
4. You will receive an email confirming that we've received your application. Please allow time for review and avoid submitting multiple applications.
5. Once your application has been assessed, you will receive an email advising you of the outcome. If successful, the email will include a personalised link back to the course page.
6. Follow the link and click "Enrol now" under "Upcoming classes". (Important: Use the link provided-otherwise you may still see "Apply now" instead of "Enrol now.")
7. Proceed to checkout again to finalise your enrolment. Any applicable discounts or special pricing will be automatically applied.
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 recieve 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.
Sessions
| When | Time | Where | Session Notes |
|---|---|---|---|
| Thu 8 Oct 2026 | 5pm - 8:30pm (UTC+11:00) | Live - Online | Program Introduction & Workshop – Developing a Strong Problem Statement for an AI Project |
| Sat 10 Oct 2026 | 9am - 12:30pm (UTC+11:00) | Live - Online | Workshop – Building the Business Case for an AI Project |
| Thu 22 Oct 2026 | 5pm - 8:30pm (UTC+11:00) | Live - Online | Workshop – Project Business Case Presentation and Feedback |
| Sat 24 Oct 2026 | 9am - 3pm (UTC+11:00) | Live - Online | Workshop – Exploring Supply Chain Data Sources and Data Processing Requirements |
| Thu 29 Oct 2026 | 5pm - 8:30pm (UTC+11:00) | Live - Online | Lecture – Predictive AI Projects for Supply Chain Planning |
| Sat 31 Oct 2026 | 9am - 3pm (UTC+11:00) | Live - Online | Workshop – Getting Started with a Predictive AI Project |
| Thu 12 Nov 2026 | 5pm - 8:30pm (UTC+11:00) | Live - Online | Lecture – AI Agents for Supply Chain Workflow Automation |
| Sat 14 Nov 2026 | 9am - 3pm (UTC+11:00) | Live - Online | Workshop – Getting Started with an Agentic AI Project |
| Sat 5 Dec 2026 | 9am - 12:30pm (UTC+11:00) | Live - Online | Workshop – AI Solution Presentation and Feedback |
Upcoming classes
Online
| When | Time | Where | Session Notes |
|---|---|---|---|
| Thu 8 Oct 2026 | 5pm - 8:30pm (UTC+11:00) | Live - Online | Program Introduction & Workshop – Developing a Strong Problem Statement for an AI Project |
| Sat 10 Oct 2026 | 9am - 12:30pm (UTC+11:00) | Live - Online | Workshop – Building the Business Case for an AI Project |
| Thu 22 Oct 2026 | 5pm - 8:30pm (UTC+11:00) | Live - Online | Workshop – Project Business Case Presentation and Feedback |
| Sat 24 Oct 2026 | 9am - 3pm (UTC+11:00) | Live - Online | Workshop – Exploring Supply Chain Data Sources and Data Processing Requirements |
| Thu 29 Oct 2026 | 5pm - 8:30pm (UTC+11:00) | Live - Online | Lecture – Predictive AI Projects for Supply Chain Planning |
| Sat 31 Oct 2026 | 9am - 3pm (UTC+11:00) | Live - Online | Workshop – Getting Started with a Predictive AI Project |
| Thu 12 Nov 2026 | 5pm - 8:30pm (UTC+11:00) | Live - Online | Lecture – AI Agents for Supply Chain Workflow Automation |
| Sat 14 Nov 2026 | 9am - 3pm (UTC+11:00) | Live - Online | Workshop – Getting Started with an Agentic AI Project |
| Sat 5 Dec 2026 | 9am - 12:30pm (UTC+11:00) | Live - Online | Workshop – AI Solution Presentation and Feedback |
