Special Note
The March 26-28, 2025 session includes three days of onsite classroom instruction at the Georgia Tech Atlanta campus. Additionally, the course will also be available virtually for those who prefer to attend online/remotely.
The October 6-8, 2025 session includes three days of onsite classroom instruction at the Georgia Tech Savannah campus. Additionally, the course will also be available virtually for those who prefer to attend online/remotely.
When registering, please make sure to select the correct course date and format. Keep in mind that once you choose a format, you must complete the entire course in that format.
Course Description
This course provides a deep dive into the ways in which artificial intelligence (AI) optimizes supply chain efficiency. Participants will explore generative AI fundamentals, prompt engineering, and practical applications such as automated inventory systems, predictive maintenance, and route optimization. The course also covers ethical AI use, good and bad use of generative AI (GenAI), and rapidly emerging use cases. By the end, professionals will be skilled in applying AI to enhance supply chain processes and drive success in their organizations.
Who Should Attend
This course targets supply chain managers, data analysts, logistics professionals, procurement specialists, and business leaders aiming to harness GenAI for enhanced supply chain operations. It is ideal for those interested in GenAI-driven efficiency, strategic insights, and navigation of GenAI's role in transforming supply chain processes.
How You Will Benefit
- Enhance decision-making capabilities through GenAI-driven insights to optimize processes and boost efficiency.
- Acquire practical skills in prompt engineering and the use of generative AI models.
- Explore practical use cases that can be reapplied.
- Learn about good and bad use of GenAI for individuals, teams, and organizations.
- Become better equipped to effectively harness GenAI capabilities in supply chain activities and planning.
What You Will Learn
- Foundational understanding of using GenAI in supply chain management
- Basics of GenAI
- Crafting effective AI prompts and their applications in optimizing warehouse layouts
- Predictive maintenance and supplier selection
- Elimination of redundant tasks through AI
- Ethical considerations, risk assessments, and strategy for AI adoption
- Practical strategies and real-world examples for implementing AI solutions effectively and making informed decisions
Course Prerequisite and Related Certificate Information
- Foundational knowledge: Basic understanding of supply chain concepts and operations; familiarity with inventory, logistics, and procurement
- Data literacy: Experience working with data; knowledge of data analysis, statistics, and visualization recommended
- Technology proficiency: Proficient with computer systems; no specific programming required but must be open to learning new tools
- Business acumen: Understanding of business processes in supply chains; beneficial in particular for managers, analysts, and executives
- Curiosity and open-mindedness: Eagerness to explore generative AI; creative thinking and adaptability to new technologies is crucial
- No prior AI experience required: Suitable for both AI novices and those with some AI knowledge
Course Times
March 2025 Offering - Onsite/In-Person course & Online/Virtual
- March 26, 2025 - 8:00am to 4:00pm ET
- March 27, 2025 - 8:00am to 4:00pm ET
- March 28, 2025 - 8:00am to 4:00pm ET
October Offering - Onsite/In-Person course & Online/Virtual
- October 6, 2025 - 8:00am to 4:00pm ET
- October 7, 2025 - 8:00am to 4:00pm ET
- October 8, 2025 - 8:00am to 4:00pm ET
Course Materials
Recommended: Digital device (laptop, tablet)
Provided: Course content shared
Course Instructor(s)
- Chris Gaffney
- Frederick Benaben
Course CEUs
This course provides for 2.10 continuing education units (CEUs).
Course Fee
Standard Fee: $1,500.00
Cancellations
If SCL/GTPE cancels a course, registrants will be notified via email or phone and will receive a full refund. SCL/GTPE is not responsible for nonrefundable plane tickets, hotel and rental car deposits, nor any other expenses incurred.
Every effort is made to present the course as advertised herein; however, circumstances may make it necessary to alter the schedule and/or presenters.