Courses_
Introductory data science and AI for supply chain management
Delivered online in partnership with GS1 Australia as part of the NSW Government’s New Education and Training Model (NETM)
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.
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.
The focus will be on practical AI and data strategy development for supply chains and addressing challenges in demand forecasting, procurement, predictive maintenance, warehouse management, and distribution. 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.
Each session will involve facilitated discussions of real problem scenarios as well as time for participants to reflect on their own unique business contexts, share experiences, and learn from each other. 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.
By completing the four modules of the micro-credential, the participants will gain an awareness of:
- Building the business case for AI initiatives in supply chain management
- Data governance best practices for supporting data science and AI capabilities in the context of increasing digitalisation in manufacturing and supply chain management
- Global data standards for traceability in supply chains and implications for AI initiatives
- Data science and AI tools for forecasting, predictive maintenance, statistical process control, and visualization
- Assessment of return on investment (ROI) for data science and AI initiatives
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.
EOIs close on September 15.
Module Number |
Hours |
Date |
Time (AEST) |
Module 1 |
3 |
Friday, October 20, 2023 |
17:00 - 20:00 |
Module 2 |
3 |
Saturday, October 21, 2023 |
10:00 - 13:00 |
Module 3 |
3 |
Friday, October 27, 2023 |
17:00 - 20:00 |
Module 4 |
6 |
Saturday, November 4, 2023 |
09:00 - 15:00 |
Module 5 |
6 |
Saturday, November 11, 2023 |
09:00 - 15:00 |
Module 6A |
3 |
Friday, November 17, 2023 |
17:00 - 20:00 |
Module 6B |
3 |
Saturday, November 18, 2023 |
10:00 - 13:00 |
Module 6C |
3 |
Friday, November 24, 2023 |
17:00 - 20:00 |
Module 6D |
3 |
Saturday, November 25, 2023 |
10:00 - 13:00 |
Module 7 |
3 |
Friday, December 1, 2023 |
17:00 - 20:00 |
Total |
36 |
Recordings will be provided for most sessions.
The program is funded by the NSW Government as part of the New Education and Training Model. The next round of delivery of "Introductory Data Science and AI for Supply Chain Management" will be free of charge for learners.
However, there are a limited number of places available in each round. Priority for enrolment will be given to those employed in Western Parkland City as well as the members of GS1 Australia.
The course will be delivered in online mode.
Please submit an expression of interest via this form so that we may reach out to you with enrolment information.
In your expression of interest, please tell us briefly why you think that this course will help you with your role.
