Introductory data science and AI for supply chain management
Overview
Artificial intelligence (AI) and data science capabilities are increasingly important for building globally competitive companies and resilient supply chains.
This micro-credential is designed and delivered by Dr Jyoti Bhattacharjya and her team of AI and data strategy experts, who will guide participants towards identifying opportunities for implementing AI-based solutions to address their supply chain challenges.
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.
What you'll learn
Upon completing this microcredential, 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
Institute of Transport and Logistics Studies
ITLS is a renowned international centre for the latest thinking on the crucially linked areas of transport, infrastructure, logistics and supply chain management.
Established in 1991, our goal is to contribute to the design, management and optimisation of infrastructure, transport, logistics and supply chain initiatives around the globe.

Course details
The focus will be 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.
This micro-credential is designed for business leaders and analytics champions who want to understand the current trends in AI and data science and the practical opportunities for enhancing their supply chain strategies.
The course supports both self-paced learning and learning via participation in live sessions. It will include 42 hours of live online delivery and access to content via the course e-learning site.
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.
Delivered online in partnership with GS1 Australia
Industry Partner

Platform Partner

Upcoming classes
Online
When | Time | Where | Session Notes |
---|---|---|---|
Thu 5 Jun 2025 | 5pm - 8pm (UTC+10:00) | via Canvas - Online | Module 1 |
Sat 7 Jun 2025 | 9am - 1pm (UTC+10:00) | via Canvas - Online | Module 2 |
Thu 12 Jun 2025 | 2pm - 8pm (UTC+10:00) | via Canvas - Online | Module 3 |
Sat 14 Jun 2025 | 9am - 3pm (UTC+10:00) | via Canvas - Online | Module 4 |
Sat 21 Jun 2025 | 9am - 3pm (UTC+10:00) | via Canvas - Online | Module 5 |
Thu 3 Jul 2025 | 5pm - 8pm (UTC+10:00) | via Canvas - Online | Module 6 |
Sat 5 Jul 2025 | 9am - 1pm (UTC+10:00) | via Canvas - Online | Module 7 |
Thu 10 Jul 2025 | 5pm - 8pm (UTC+10:00) | via Canvas - Online | Module 8 |
Sat 12 Jul 2025 | 9am - 1pm (UTC+10:00) | via Canvas - Online | Module 9 |
Thu 17 Jul 2025 | 5pm - 8pm (UTC+10:00) | via Canvas - Online | Module 10 |