About the Course
This course offers a deep dive into the revolutionary impact of generative AI on operations management. In this short course, participants will explore how AI helps in planning, enhances decision-making, and drives innovation in operations management.
We'll delve into the practical applications of generative AI, covering key areas like planning, organizing, leading, controlling, and continuous improvement. Additionally, a special focus will be given to understanding chat-based AI models and the basics of prompt engineering, essential skills in today's AI-driven world.
Course Objective
LO1: Understand the fundamentals of generative AI and its application in operations management in general.
LO2: Learn about the steps in the operational management cycle and how generative AI optimizes each step for enhanced efficiency.
LO3: Gain insights into common issues in operational management and how generative AI offers solutions.
LO4: Master the basics of chat-based AI models and prompt engineering for practical applications in operations management.
Who is the Target Audience?
Basic Knowledge
Understanding the Operational Management Cycle
Role of Generative AI in Enhancing Operations
Basics of Chat-Based AI Models
Introduction to Prompt Engineering in AI
AI in Market Analysis and Product Launch
AI-Driven Strategic Planning and Portfolio Management
AI-Enabled Communication and Project Management Tools
Implementing AI Chatbots for Customer Service
AI Tools for Employee Performance Analysis
Enhancing Employee Engagement with AI
Data Analytics for Operational Insights
Leveraging AI for Feedback and Continuous Improvement