AI for Operations Management

Leveraging Artificial Intelligence for Enhanced Operations Management

What you'll learn
- Understand AI's role in operations management
- Learn about what AI, where it fits in Operations Management, how we can use tools and identity trends, etc.
- Learn about implementing AI seamlessly into operations management processes and organizations
- Learn the future trends of AI with Operations Management

Requirements
- A Google Gemini account and a ChatGPT account that you can use to follow along and get started with using AI tools
- Note: Some tools we cover in this course may require a subscription to use full features and functionality

Description
(Beginner)Leveraging Artificial Intelligence for Enhanced Operations Management

This course delves into the transformative power of Artificial Intelligence (AI) in revolutionizing modern operations management.

You will explore how cutting-edge AI techniques are being applied to optimize critical operational functions, driving efficiency, reducing costs, and enhancing decision-making.

The curriculum provides a comprehensive overview of key operations management principles and demonstrates how AI can provide significant advantages across the value chain.

Key topics include:

Operations Management Fundamentals: A review of core concepts in operations management, including process design, capacity planning, inventory management, and scheduling, providing the foundational context for AI applications.

AI-Powered Supply Chain Optimization: Discover how AI algorithms are used to optimize complex supply chain networks. Topics include intelligent sourcing, logistics optimization, inventory management powered by machine learning, and risk assessment for resilient supply chains.

Demand Forecasting with Machine Learning: Learn advanced forecasting techniques leveraging machine learning models to predict future demand with greater accuracy. Explore time series analysis, regression models, and neural networks for improved inventory planning and resource allocation.

Predictive Maintenance through AI: Understand how AI and machine learning are transforming asset management through predictive maintenance. Explore sensor data analysis, anomaly detection, and predictive modeling to anticipate equipment failures, minimize downtime, and optimize maintenance schedules.

AI for Quality Control and Assurance: Examine the application of computer vision, natural language processing, and machine learning in enhancing quality control processes. Learn how AI can automate defect detection, improve process monitoring, and ensure consistent product quality.

Through case studies, real-world examples, and hands-on exercises, you will gain a practical understanding of how to implement and manage AI-driven solutions in various operational settings. This course is ideal for professionals and students seeking to understand the strategic and tactical implications of AI in shaping the future of operations management.

The course provides the learner with the following resources.

Course presentation

Course eBook/study guide

Demonstrations with Google Gemini and ChatGPT

Expected Learning Outcomes

At the end of the course, the learners will be acquainted with the following.

Understand AI's role in operations management

Learn about what AI is, where it fits in Operations Management, how we can use tools and identify trends, etc.

Learn about implementing AI seamlessly into operations management processes and organizations.

Learn the future trends of AI with Operations Management

Requirements

A Google Gemini account and a ChatGPT account that you can use to follow along and get started with using AI tools.

Note: Some tools covered in this course may require a subscription to access full features and functionality.

Who this course is for:
- Anyone wanting a comprehensive dive into how AI is reshaping operations management
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