Course Outline
Program Structure
Phase 1 – Strategic Assessment Workshop (7 hours)
Objective:
- Assess digital maturity and data availability
- Prioritize AI projects based on impact and complexity
- Define an implementation roadmap for 12–24 months
Deliverable: - Project prioritization map - Recommendation for initial pilots
Phase 2 – Technical AI Training for Manufacturing (21 hours)
Objective:
- Understand Machine Learning fundamentals
- Apply predictive models to industrial cases
- Identify necessary technological architecture
Key topics:
- Predictive maintenance
- Forecasting and materials planning
- Production optimization
- Advanced quality analytics
- Design of assisted diagnostic systems
Phase 3 – Pilot Development Workshop (21 hours)
Objective:
- Work with the company's real data
- Develop a functional initial model (MVP)
- Define scaling plan
Expected outcomes:
- Initial prototype
- Performance indicators
- Technical implementation plan
Program Benefits
• Reduction of risk in technology investments
• Identification of quick wins
• Development of internal capabilities
• Clear digital transformation roadmap
We remain at your disposal to coordinate an exploratory session and define the next step.
Requirements
Introduction
Based on the list of initiatives shared by the different areas (Engineering, Maintenance, Production, Quality, Materials, HR, and Program Management), we propose a Comprehensive Artificial Intelligence Program aimed at prioritizing, designing, and implementing high-impact solutions in manufacturing.
This program combines strategic consulting and technical training to ensure sustainable results and the development of internal capabilities.
Activities can be delivered:
- Online with a live instructor (1 to 10 participants)
- On-site at your facilities (1 to 15 participants)
