The focus of the Strategic AI and Data Science for Supply Chain Management is on practical AI and data strategy development in the context of common issues in procurement, logistics and distribution.

The course will facilitate understanding of opportunities for incorporating generative and predictive AI solutions using real problem scenarios. Participants will be able to reflect on their own unique business contexts, share experiences, and learn from each other.

Participants will also get the opportunity for hands-on engagement with state-of-the-art AI-powered platforms that do not require any coding skills.

Upon completing this micro-credential, participants will feel confident about the use of AI in everyday managerial contexts and understand how to approach investment in AI-enabled analytics for supply chain management. Participants will be able to apply their understanding of the following:

• Enterprise data strategies for supporting effective data science and AI capabilities
• Data standards for supply chain management
• AI technologies for supply chain management
• AI opportunities and ROI in supply chain management
• AI strategies for supply chain management
• Generative AI and prompt engineering
• No code AI platforms for supply chain data analytics
• AI ethics, governance and regulation

The content is delivered over 10 live online sessions (approximately 40 hours) during June and July every year.  Some sessions are held on Thursday evenings and others on Saturday mornings/early afternoons (AEST). Specific session dates are typically available around the end of January. Support is available for those who prefer a self-paced learning approach or are unable to attend live sessions due to other commitments (see under ‘Learning support’.)

• Dr Jyoti Bhattacharjya  
• Dr Kavita Ganesan
• Dr Arda Gezdur
• Mr Arnie Bhattacharya
• Ms Sue Schmid
• Adj Prof Glenn Geers
• Mr Thomas Astrum
• Mr Aron Wilson
• Ms Tari Ghazanfari

The course e-learning site will be used to provide access to recordings of live sessions, other videos, readings, assessment instructions, etc. Participants who opt for self-paced learning will have access to online consultations to help them complete assessment tasks. Live session attendees will receive assistance with assessment tasks during the live sessions.

The course is delivered in 10 modules, which involve case analysis and presentations in groups, as well as skills development and reflection in the context of a participant’s own organisation:

1. Program Introduction & Workshop – Enterprise Data Strategy and Governance for AI Success

• Description: This session introduces the overall program and leads into the first workshop which helps participants determine whether their enterprise data strategies and governance frameworks support successful investments in AI.
• Presenters: Dr Jyoti Bhattacharjya, Mr Arnie Bhattacharya
• Assisted by: Mr Thomas Astrum
• Session date: Thursday, 4 June 2026, 5:00 pm to 8:30 pm AEST

2. Workshop – Data Accuracy and Visibility for Resilient Supply Chains

• Description: This workshop focuses on the use of standards for improving data accuracy and visibility in supply chains, thereby increasing the availability of high-quality operational data for AI-driven analytics.
• Presenter: GS1 Australia
• Assisted by: Mr Thomas Astrum
• Session date: Saturday, 6 June 2026, 9:00 am to 12:30 pm AEST

3. Workshop – AI Technologies for Resilient and Sustainable Supply Chains

• 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.
• Presenter: Dr Jyoti Bhattacharjya
• Assisted by: Mr Thomas Astrum, Mr Aron Wilson
• Session date: Thursday, 11 June 2026, 5 pm to 8:30 pm AEST

4. Workshop – Responsible AI and AI Governance

• Description: This workshop focuses on the responsible use and design of AI solutions as well as the importance of AI governance frameworks in this context.
• Presenter: Dr Jyoti Bhattacharjya
• Assisted by: Mr Thomas Astrum, Mr Aron Wilson
• Session date: Saturday, 13 June 2026, 9:00 am to 12:30 pm AEST

5. Masterclass – Generative AI Competency for Supply Chain Professionals

• 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.
• Presenter: Dr Arda Gezdur
• Assisted by: Mr Aron Wilson, Ms Tari Ghazanfari
• Session dates: Thursday, 18 June 2026, 5 pm to 8:30 pm AEST, and Saturday 20, June 2026, 9:00 am to 12:30 pm AEST

6. Masterclass – Machine Learning Competency for Supply Chain Professionals

• Description: In this two-part masterclass participants will learn to use machine learning tools in supply chain planning contexts.
• Presenter: Dr Arda Gezdur
• Assisted by: Mr Aron Wilson, Ms Tari Ghazanfari
• Session dates: Thursday, 25 June 2026, 5 pm to 8:30 pm AEST, and Saturday 27, June 2026, 9:00 am to 12:30 pm AEST

7. Workshop – Platform-Based Certification

• Description: This is an optional session designed to provide hands-on guidance to participants who wish to gain platform-based certifications in relation to content covered in Modules 5 and 6.
• Presenters: Mr Aron Wilson, Ms Tari Ghazanfari, Mr Thomas Astrum
• Session date: Saturday, 11 July 2026, 9:00 am to 12:30 pm AEST

8. Workshop – AI Opportunities and ROI in Supply Chain Management

• Description: This workshop provides participants with guidance and frameworks for identifying AI opportunities and measuring associated return on investment in the supply chain management.
• Presenter: Dr Kavita Ganesan
• Assisted by: Mr Aron Wilson
• Session date: Saturday, 25 July 2026, 9:00 am to 3:00 pm AEST

9. Workshop – AI Strategy for Business and Supply Chain

• Description: This workshop provides participants with guidance and frameworks in preparation for a mini capstone project focused on the development or critical analysis of AI strategy in the context of a participant’s own organization.
• Presenter: Dr Kavita Ganesan
• Assisted by: Mr Aron Wilson
• Session date: Saturday, 1 August 2026, 9:00 am to 3:00 pm AEST

10. Expert Panel Discussion & Wrap-Up

• Description: This closing session synthesises the key takeaways from the course and provides an opportunity for participants to engage with a panel of AI and supply chain experts.
• Presenter: Dr Jyoti Bhattacharjya
• Session date: Thursday, 6 August 2026, 5:00 pm to 8:30 pm AEST

For further information, contact ai.micro-credentials@sydney.edu.au.

For enquiries, please email ai.micro-credentials@sydney.edu.au.

Early bird enrolments (enrol on or before 30 April 2026):

1. New enrolments: $1,755
2. University of Sydney alumni or GS1 members: $1,535
3. 3 or more enrolments from the same organisation: $1,425 per person

Standard enrolments (enrol on or after 1 May 2026):

1. New enrolments: $1,975
2. University of Sydney alumni or GS1 members: $1,755
3. 3 or more enrolments from the same organisation: $1,645 per person

Financial assistance

For details regarding financial assistance options, please email ai.micro-credentials@sydney.edu.au.

Cancellations

A 10% administration fee will be applied to refunds for any cancellation.

Please register your interest by completing the Expression of Interest form.

Once your submission has been assessed for eligibility, you will receive an email with instructions on how to complete the enrolment process.

Please email ai.micro-credentials@sydney.edu.au if you have any questions.

• “Jyoti, Arda, and all other presenters delivered a complex, timely and intriguing subject in an engaging and supportive manner. I thoroughly enjoyed the course curriculum; the excellent moderating of discussion also lead to a great opportunity for learning from other course participants. All course content was delivered in a way that was easily understood and assignments appropriately challenging for maximised learning.”
• “I really enjoyed the course. I liked the way it was presented with various speakers. It was very engaging. Coming from a non AI background, the course helped me to learn about the basics of AI platforms and how to use the basics as well as how to incorporate the technology within supply chain management. I would highly recommend this course.”
• “This course is cutting edge and very practical. The teaching team was very professional and provided very clear and concise materials. It was great to get real qualifications out of this course that I can use not just in the context of my current employment but for future opportunities. Thanks to all involved.”
• “I would recommend the Introductory Data Science and AI for Supply Chain Management micro credential to my peers and connections working in the supply chain domain, regardless of industry. What I liked most about the course is the balance between strategic concepts and practical application using Dataiku. It provides a good foundational understanding of data science in the context of supply chain management which anyone in the profession, regardless of seniority can build upon. I also like the collaboration amongst participants, and the opportunity to present collective work.”
• “The course was a good balance of practical demonstration and skills development with AI technologies as well as the supporting education of management practices relating to the developing technology. The course was well supported by a knowledgeable education team and supported collaboration and knowledge sharing by the participants and experts. I would definitely recommend the course to those in supply chain management roles to develop skills and gain a broader perspective on the technology.”
• “This course is perfectly designed to provide the basic and high level understanding of the potential AI has to improve the way we operate and how important it is to have a good data and AI strategies for the organization. I loved the way we all interacted with our peers and industry professionals and it was so fascinating to hear all the stories across different industries and organizations. Jyoti, Arda, Tari, and Thomas have been fantastic and amazingly supportive throughout the course and always there for each one of us when we needed help with our assignments and tasks.”