Course Outline
Day 1: Technical Diagnosis
- Review of data sources.
- Cleaning and preparation of information.
- Identification of critical variables.
- Definition of the pilot case.
Day 2: Pilot Model Development
- Selection of model type.
- Training and validation.
- Interpretation of results.
- Definition of the scaling plan.
Requirements
Introduction
Thank you for your interest in developing Artificial Intelligence solutions applied to your manufacturing processes.
This proposal is designed for organizations that already have operational data and wish to validate the technical feasibility of a pilot project before scaling it across the enterprise.
Available Formats:
-Online with a live instructor (1 to 10 participants)
-On-site at your facilities (1 to 15 participants)
Workshop Objectives
• Analyze the quality and structure of available data
• Select a priority use case
• Build an initial predictive model
• Evaluate results and define next steps
Duration
14 hours (2 days of 7 hours each, including breaks and meal time).
Target Audience
• Process Engineers
• Maintenance Engineers
• Data Analysts
• IT Staff
• Continuous Improvement Leaders
