What is the impact and future of AI in operations management
This course is a good start to know about operations management domain, to get closer to the Artificial Intelligence domain, and how both domains can intersect. AI is a booming topic, and its applications widespread so fast, and in this course you will learn about the fundamentals of any business operations, how to manage it, and how to maximize the benefits of AI in improving business operations core functions. This course explores the integration of Artificial Intelligence (AI) into Operations Management (OM) to drive efficiency, innovation, and data-driven decision-making across business processes. Students will gain a comprehensive understanding of how AI technologies—such as machine learning, predictive analytics, natural language processing, and automation—are reshaping traditional OM domains including supply chain management, production planning, inventory control, quality assurance, and service operations.
What you’ll learn
- Fundamentals of Operations Management.
- The Role of AI in Operations Management.
- AI-Driven Process Automation in Operations Management.
- AI in Supply Chain Management (SCM).
- AI and Predictive Maintenance (Pd.M.).
- AI in Production and Manufacturing.
- AI in Customer Relationship Management (CRM).
- Future Trends of AI in Operations Management.
- Best Practices for Implementing AI in Operations Management.
Course Content
- Chapter 1: Fundamentals of Operations Management –> 1 lecture • 1min.
- 1.1 Key Concepts of Operations Management –> 2 lectures • 3min.
- 1.2 Operations Strategy –> 3 lectures • 3min.
- 1.3 Types of Operations Systems –> 3 lectures • 2min.
- 1.4 Measuring Operational Performance –> 2 lectures • 3min.
- Test your knowledge –> 0 lectures • 0min.
- Chapter 2: The Role of AI in Operations Management –> 1 lecture • 1min.
- 2.1 Introduction to Artificial Intelligence (AI) –> 2 lectures • 2min.
- 2.2 Applications of AI in Operations Management –> 4 lectures • 3min.
- 2.3 AI and Predictive Analytics in Operations Management –> 3 lectures • 2min.
- 2.4 AI in Decision-Making and Problem-Solving –> 2 lectures • 1min.
- 2.5 AI-Driven Innovation in Operations Management –> 2 lectures • 1min.
- Test your knowledge –> 0 lectures • 0min.
- Chapter 3: AI-Driven Process Automation in Operations Management –> 1 lecture • 1min.
- 3.1 Introduction to Process Automation –> 2 lectures • 2min.
- 3.2 Types of AI-Driven Process Automation –> 3 lectures • 2min.
- 3.3 AI in Business Process Management (BPM) –> 3 lectures • 2min.
- 3.4 Benefits of AI-Driven Process Automation –> 4 lectures • 2min.
- Test your knowledge –> 0 lectures • 0min.
- Chapter 4: AI in Supply Chain Management –> 1 lecture • 1min.
- 4.1 Introduction to Supply Chain Management (SCM) –> 2 lectures • 1min.
- 4.2 The Role of AI in Supply Chain Management –> 4 lectures • 2min.
- 4.3 AI-Powered Supply Chain Optimization –> 3 lectures • 2min.
- Test your knowledge –> 0 lectures • 0min.
- Chapter 5: AI and Predictive Maintenance –> 1 lecture • 1min.
- 5.1 Introduction to Predictive Maintenance –> 2 lectures • 1min.
- 5.2 The Role of AI in Predictive Maintenance –> 3 lectures • 2min.
- 5.3 Benefits of AI-Driven Predictive Maintenance –> 4 lectures • 2min.
- 5.4 Types of AI-Driven Predictive Maintenance Techniques –> 3 lectures • 2min.
- 5.5 Implementing AI-Driven Predictive Maintenance –> 3 lectures • 1min.
- Test your knowledge –> 0 lectures • 0min.
- Chapter 6: AI in Production and Manufacturing –> 1 lecture • 1min.
- 6.1 Introduction to Production and Manufacturing –> 2 lectures • 1min.
- 6.2 The Role of AI in Production and Manufacturing –> 4 lectures • 3min.
- 6.3 AI-Powered Robotics and Automation in Manufacturing –> 3 lectures • 2min.
- 6.4 Benefits of AI in Production and Manufacturing –> 4 lectures • 1min.
- Test your knowledge –> 0 lectures • 0min.
- Chapter 7: AI in Customer Relationship Management (CRM) –> 1 lecture • 1min.
- 7.1 Introduction to Customer Relationship Management –> 2 lectures • 1min.
- 7.2 The Role of AI in Customer Relationship Management –> 4 lectures • 2min.
- 7.3 AI-Driven Automation in CRM –> 2 lectures • 1min.
- 7.4 Benefits of AI in Customer Relationship Management –> 3 lectures • 1min.
- Test your knowledge –> 0 lectures • 0min.
- Chapter 8: Future Trends of AI in Operations Management –> 1 lecture • 1min.
- 8.1 Overview of AI Trends in Operations Management –> 1 lecture • 1min.
- 8.2 Key Trends Shaping AI in Operations Management –> 4 lectures • 2min.
- 8.3 Emerging Technologies Influencing AI in Operations Management –> 3 lectures • 1min.
- 8.4 Impact of AI on Workforce and Employment –> 2 lectures • 1min.
- 8.5 Conclusion: Preparing for the Future of AI in Operations Management –> 2 lectures • 1min.
- Test your knowledge –> 0 lectures • 0min.
- Chapter 9: Best Practices for Implementing AI in Operations Management –> 1 lecture • 1min.
- 9.1 Introduction to Best Practices –> 1 lecture • 1min.
- 9.2 Establishing Clear Objectives and Goals –> 2 lectures • 1min.
- 9.3 Ensuring Data Quality and Availability –> 2 lectures • 1min.
- 9.4 Involving Stakeholders and Fostering Collaboration –> 2 lectures • 1min.
- 9.5 Phased Implementation Approach –> 2 lectures • 1min.
- 9.6 Continuous Monitoring and Evaluation –> 2 lectures • 1min.
- 9.7 Fostering a Culture of Innovation and Learning –> 2 lectures • 1min.
- 9.8 Conclusion: Best Practices for AI Implementation –> 1 lecture • 1min.
- Test your knowledge –> 0 lectures • 0min.
Requirements
This course is a good start to know about operations management domain, to get closer to the Artificial Intelligence domain, and how both domains can intersect. AI is a booming topic, and its applications widespread so fast, and in this course you will learn about the fundamentals of any business operations, how to manage it, and how to maximize the benefits of AI in improving business operations core functions. This course explores the integration of Artificial Intelligence (AI) into Operations Management (OM) to drive efficiency, innovation, and data-driven decision-making across business processes. Students will gain a comprehensive understanding of how AI technologies—such as machine learning, predictive analytics, natural language processing, and automation—are reshaping traditional OM domains including supply chain management, production planning, inventory control, quality assurance, and service operations.
The course combines theoretical frameworks with applications, and current industry trends. By the end of the course, students will be equipped to identify opportunities for AI deployment in operational contexts, assess the ethical and managerial implications, and design strategic AI-based solutions to real-world challenges in operations.
What you will learn:
Fundamentals of Operations Management
The Role of AI in Operations Management
AI-Driven Process Automation in Operations Management
AI in Supply Chain Management
AI and Predictive Maintenance
AI in Production and Manufacturing
AI in Customer Relationship Management (CRM)
Future Trends of AI in Operations Management
Case Studies on AI Implementation in Operations Management
if you are a newcomer to the industrial world, or you are a front line manager or even a director, you will get a good idea about the different applications of Artificial Intelligence in Operations Management.