Transforming Operations Management with Generative AI

Participants will explore how AI helps in planning, enhances decision-making, and drives innovation in operations management.
Duration: 1 Day
Hours: 3 Hours
Training Level: All Levels
Batch Four
Friday, May 03, 2024
11:00 AM - 02:00 PM (Eastern Time)
Batch Five
Friday, June 07, 2024
11:00 AM - 02:00 PM (Eastern Time)
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded

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?

  • Anyone working in Operations Management
  • Managers: New, Established, and Aspiring Managers - especially those in operations, manufacturing or service sectors, production, and industry

Basic Knowledge:

  • Participants should know basic Operation Management concepts.

Curriculum
Total Duration: 3 Hours
Introduction to Generative AI in Operations Management

  • Understanding the Operational Management Cycle  
  • Role of Generative AI in Enhancing Operations  

Understanding Chat-Based AI Models and Prompt Engineering

  • Basics of Chat-Based AI Models  
  • Introduction to Prompt Engineering in AI  

Planning and Strategizing with AI

  • AI in Market Analysis and Product Launch  
  • AI-Driven Strategic Planning and Portfolio Management  

Organizing and Workflow Optimization with AI

  • AI-enabled communication and Project Management Tools  
  • Implementing AI Chatbots for Customer Service  

Leading and Employee Management with AI

  • AI Tools for Employee Performance Analysis  
  • Enhancing Employee Engagement with AI  

Analysis and Continuous Improvement with AI

  • Data Analytics for Operational Insights  
  • Leveraging AI for Feedback and Continuous Improvement  

The Future of Operations Management with AI
Summary and Recommendations for AI Integration in Operations Management