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  5. AI Projects for Supply Chain Management

AI Projects for Supply Chain Management

Course type
Microcredential
Delivery mode
Online
Start date
15 October
Duration
1.5 Months
Price
A$1,800.00

Designed for professionals who want to move beyond understanding AI opportunities into actually building, testing, and delivering AI projects.

Overview

AI Projects for Supply Chain Management builds on the foundations laid in Strategic AI and Data Science for Supply Chain Management and takes participants to the next level from strategy to execution.

Artificial intelligence (AI) and data-driven solutions are no longer optional in competitive global supply chains—they are becoming core capabilities. This course provides the practical skills, tools, and project experience required to design and implement AI solutions that deliver real-world impact.

Led by Dr. Jyoti Bhattacharjya and her team of AI and data science experts, participants will gain hands-on exposure to predictive, generative, and agentic AI, supported by state-of-the-art platforms such as Dataiku, ChatGPT, Gemini, and Python.

NOTE: Participants are expected to have completed either Strategic AI and Data Science for Supply Chain Management or equivalent coursework before enrolling in this micro-credential.

What you'll learn

Upon completing this micro-credential, participants will be able to:

  • Build and deploy agentic AI solutions, using no-code and low-code tools to create LLM-driven agents for business operations.
  • Design and deliver predictive AI projects that apply forecasting and optimization techniques in supply chains.
  • Apply MLOps practices to manage, monitor, and scale AI solutions in enterprise environments.
  • Integrate generative AI and prompt engineering into supply chain workflows.
  • Communicate and present AI project outcomes through dashboards, structured reports, and strategy frameworks.
  • Develop or critically evaluate an AI strategy tailored to their own organisation’s context.

Institute of Transport and Logistics Studies

This micro-credential is led by Dr Jyoti Bhattacharjya from the Institute of Transport of Logistics Studies and supported by GS1 Australia and Dataiku. The course provides procurement and supply chain professionals with hands-on opportunities for implementing agentic and predictive AI projects and applying these experiences towards evaluating and refining existing AI strategies. This course serves as a capstone for Strategic AI and Data Science for Supply Chain Management.

Learn more

Program Overview

Expected to begin in October 2026, this course runs over approximately 36 hours, consisting of nine (9) modules. Each session is 4 hours.

This course combines live teaching, project-based assessments, and interactive peer discussions. Participants will complete a portfolio of projects, giving them both the confidence and capability to lead AI-driven transformation in their organisations.

  • Develop and deploy agentic AI solutions using no-code and low-code tools.
  • Integrate generative AI and prompt engineering into supply chain workflows.
  • Design and execute predictive AI projects to support supply chain decision-making.
  • Apply MLOps practices for monitoring, scaling, and sustaining AI initiatives.
  • Build dashboards and reporting tools to communicate AI project results effectively.
  • Evaluate and develop AI strategies aligned with organisational priorities.
  • Apply principles of AI governance, ethics, and regulation to project implementation.
  • Collaborate in project-based teams to solve real-world supply chain problems using AI.

This course is designed for professionals who want to translate AI strategies into practical, applied solutions. Whether you are sponsored by your organisation or self-funded, this course equips you with the tools and confidence to drive measurable AI-driven outcomes in your workplace:

  • 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 alumni seeking to deepen their skills through hands-on project experience.
  • Professionals tasked with evaluating or developing AI strategies for organisational transformation.
  • Individuals seeking to build a portfolio of AI projects to strengthen their career prospects in supply chain and digital innovation.

Applicants are expected to have completed Strategic AI and Data Science for Supply Chain Management or an equivalent course before enrolling in this course. If you have taken an equivalent course elsewhere, please provide details in the application form. Note that any other AI-related offering from the Institute of Transport and Logistics Studies is not suitable as a pre-requisite for this micro-credential.

This course is delivered online with live teaching sessions:

  • 9 sessions, 4-hours each session.
  • Project-based assessments with individual and group components.
  • Hands-on practice with platforms including Dataiku, ChatGPT, Gemini, and Python, alongside no-code AI agent tools.

The following assessments are used within this course:


  • LLM or agentic project
  • MLOps skills assessment
  • Predictive AI project
  • AI strategy evaluation project

Upon completion of this course, participants will recieve:


  • Digital certificate 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 Strategic AI and Data Science for Supply Chain Management alumni: $1100
  • New participants from industry or government: $1500

Standard enrolments (enrol from August 1st 2026):

  • For Strategic AI and Data Science for Supply Chain Management alumni: $1400
  • New participants from industry or government: $1800

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.

Upcoming classes

Online

2026-10-15 Thu 15 Oct 2026 - 2026-11-26 Thu 26 Nov 2026

9 sessions, 36 hours total
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