AI-OPER-MGMT.KZ1 ISBN: 979-8-90059-166-7
AI for Operations Management
Intermediate Self-paced · 1 year access
20 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
01 / Lessons & labs
See exactly what you will learn and practice
Lessons
11 Interactive Lessons · 82 topics01 Preface 7 topics +
- About This Course
- Target Audience and Prerequisites
- What You Will Learn
- Course Overview
- Learning with uCertify
- Standards or Certification Alignment
- Closing
02 Foundations of Operations Management and Artificial Intelligence 10 topics · 2 LiveLab +
- Introduction
- Introduction to Operations Management
- Core Functions of Operations Management
- Challenges in Modern Operations
- Introduction to Artificial Intelligence
- AI Technologies and Capabilities
- Importance of AI in Business Operations
- AI and Operations Management: The Convergence
- Benefits, Challenges, and Ethical Considerations
- Summary
2 LiveLab in this lesson — see the labs panel →
03 AI-Driven Supply Chain Management 8 topics · 2 LiveLab +
- Fundamentals of Supply Chain Management
- Traditional vs. AI-Powered Supply Chains
- AI Techniques for Supply Chain Optimization
- Inventory and Logistics Optimization
- Risk Management and Demand-Driven Supply Chains
- AI Applications Across the Supply Chain
- Industry Case Studies
- Summary
2 LiveLab in this lesson — see the labs panel →
04 Practical AI for Supply Chain Decision-Making 7 topics · 2 LiveLab +
- Using Generative AI for Supply Chain Decision-Making
- Using ChatGPT for Supply Chain Analysis
- Prompt Engineering for Operations Professionals
- AI-Assisted Planning and Decision Support
- Best Practices for AI-Assisted Supply Chain Management
- Practical Exercises and Mini Projects
- Summary
2 LiveLab in this lesson — see the labs panel →
05 AI-Powered Predictive Maintenance 8 topics · 2 LiveLab +
- Fundamentals of Equipment Maintenance
- Predictive Maintenance Concepts
- AI Techniques for Predictive Maintenance
- Condition Monitoring and Failure Prediction
- Maintenance Planning and Scheduling
- Business Benefits of Predictive Maintenance
- Industrial Applications
- Summary
2 LiveLab in this lesson — see the labs panel →
06 Practical Predictive Maintenance with Generative AI 6 topics · 2 LiveLab +
- Using Google Gemini for Maintenance Planning
- Developing Maintenance Strategies
- AI-Assisted Maintenance Documentation
- Practical Workflow
- Best Practices and Limitations
- Summary
2 LiveLab in this lesson — see the labs panel →
07 AI for Demand Forecasting and Business Planning 7 topics · 2 LiveLab +
- Fundamentals of Demand Forecasting
- Forecasting Methods and Business Applications
- AI Techniques for Demand Forecasting
- Forecast Accuracy and Model Improvement
- Future Trends in AI-Based Forecasting
- Cross-Industry Applications
- Summary
2 LiveLab in this lesson — see the labs panel →
08 Practical Demand Forecasting Using AI 6 topics · 2 LiveLab +
- Using ChatGPT for Demand Forecasting
- Prompt Design for Forecast Generation
- Forecast Interpretation
- Practical Business Scenarios
- Hands-on Exercises
- Summary
2 LiveLab in this lesson — see the labs panel →
09 AI for Quality Control and Workforce Management 8 topics · 2 LiveLab +
- Fundamentals of Quality Control
- AI in Quality Inspection
- Computer Vision for Defect Detection
- AI-Powered Workforce Management
- Resource Scheduling and Productivity Analysis
- Industry Case Studies
- Best Practices
- Summary
2 LiveLab in this lesson — see the labs panel →
10 Emerging AI Technologies and the Future of Operations 8 topics · 2 LiveLab +
- Emerging AI Technologies
- Intelligent Automation
- Challenges in AI Adoption
- Organizational Readiness
- Ethical and Governance Considerations
- Future of AI in Operations Management
- Skills for the Future Operations Professional
- Summary
2 LiveLab in this lesson — see the labs panel →
11 Integrated AI Applications in Operations Management 7 topics · 2 LiveLab +
- AI Across the Operations Value Chain
- Integrating Supply Chain, Maintenance, Forecasting, and Quality
- Selecting AI Tools for Operational Problems
- End-to-End Operations Case Studies
- Capstone Projects
- Professional Best Practices
- Summary
2 LiveLab in this lesson — see the labs panel →
Hands-On Labs Our edge
20 LiveLabs- Tracing Recurring Quality Failures to a Planning Breakdown
- Evaluating Operations Management and AI Convergence
- Building an AI-Assisted Inventory Optimization Model
- Assessing Demand-Driven Supply Chain Transition
- Refining Disruption Prompts: Building a Validated Supply Chain Response
- Blocking an Unvalidated Supplier Switch Recommended by AI
- Detecting Equipment Anomalies from Sensor Data
- Justifying a Predictive Maintenance Strategy
- Generating Maintenance Plans: Turning Predictive Alerts into Safe Work Orders
- Halting an AI-Drafted Work Order Before It Reaches the Floor
- Building and Evaluating an AI Demand Forecasting Model
- Recommending an AI-Enabled Forecasting Roadmap
- Designing Forecast Prompts: Linking Sales, Inventory, and Production Decisions
- Converting a Single-Point AI Forecast into a Defensible Planning Range
- Detecting Product Defects Using Computer Vision
- Balancing AI-Driven Quality and Workforce Decisions
- Overcoming Workforce Resistance to an AI Forecasting Pilot
- Assessing Readiness for AI Transformation
- Designing an Integrated AI Strategy
- Building an Integrated Forecast-to-Production AI Workflow
Labs run in your browser — nothing to install.
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- 20 LiveLab included
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