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Last Updated: Aug 28, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Train & Validate Models | 22% | - Customize training parameters - Determine algorithm choice - Analyze training metrics - Validate and evaluate models - Troubleshoot training issues |
| Topic 2: Data Acquisition | 10% | - Functional and technical data collection requirements - Streamline data acquisition with auto capture |
| Topic 3: Prepare Data | 15% | - Auto labeling techniques - Choose data annotation strategy - Modify labeling strategy - Improve model by data augmentation |
| Topic 4: Deploy Model | 12% | - Use APIs for automation - Monitor and improve performance - Export trained model - Model deployment strategies - Create runtime architecture |
| Topic 5: Work with Maximo Visual Inspection Mobile and Edge | 22% | - Configure dashboards - Configure MVI Mobile and Edge - MVI Mobile and Edge capabilities - Create and setup inspections - Configure inspection rules and triggers |
| Topic 6: Manage Data Sets | 10% | - Import and export data - Manage data within Maximo Visual Inspection |
| Topic 7: Integration with Maximo Suite Applications | 2% | - Integrating MVI with Maximo Monitor |
| Topic 8: Maximo Visual Inspection Use Cases | 7% | - Identify computer vision business problem solutions |
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