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AI for Operations Management

Leveraging Artificial Intelligence for Enhanced Operations Management

$9700 $19900

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What you will learn:

Strategically integrate AI technologies into existing operations management frameworks to optimize efficiency and reduce operational costs

Implement machine learning-powered demand forecasting systems that improve inventory planning accuracy by 25-40%

Design and deploy predictive maintenance programs using AI to minimize equipment downtime and extend asset lifecycles

Optimize supply chain networks through AI algorithms for intelligent sourcing, logistics, and risk management

Establish AI-driven quality control systems using computer vision and machine learning for automated defect detection and process monitoring

Evaluate and select appropriate AI tools for specific operational challenges while understanding implementation timelines and ROI expectations

(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.

 

Last Updated: June 06, 2025

  • Direct Access

    You will receive the download files directly after purchase

  • Make it your own

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  • 14 Day Return Right

    Not happy with the course? You can request a full refund within 14 days.

About the instructor

Joseph Holbrook

Joe, based in Jacksonville, Florida, is the owner of Digital Crest Institute/Techcommanders. He has lived and worked in cities, including Boston, San Jose, San Diego, Washington, DC, and Charleston, SC.

As an avid traveler, Joe has visited over 30 countries. He is married with one child, a passionate hockey enthusiast, and enjoys spending time at the beach.

Joe has been involved in the field since 1993, beginning with exposure to several HP Unix systems on a US Navy flagship. He transitioned from the UNIX domain to Storage Networking (SAN), Enterprise Virtualization, and Cloud Architectures. Throughout his career, he has worked for numerous organizations in various roles, including professional services, presales engineering, and sales engineering, for companies such as SAIC, 3PAR Data, Brocade, HP, EMC, Northrop Grumman, Chematch, Signature Consultants, Vion, Global Knowledge, Dimension Data, and Booz Allen Hamilton (BAH).

  • Private Label Right License (PLR) for the course: AI for Operations Management

    With a PLR license you can modify and change a course to your needs. Next to this, you can keep 100% of the income if you sell the course as a part of your own products. This is what you can do:

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    [NO] Can be used for YouTube or other free video sites
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    [NO] Can offer Private Label Rights

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