Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Day 1: 09:00 - 16:00 (7h)
Foundations of Artificial Intelligence
- Definitions of AI, machine learning, and deep learning
- Learning paradigms: supervised, unsupervised, and reinforcement
- Dispelling myths and understanding realities of AI in industry
AI in Smart Manufacturing Context
- Defining the characteristics of a “smart” factory
- The role of AI in Industry 4.0 and industrial automation
- Overview of enabling technologies (IoT, edge computing, digital twins)
Key Manufacturing Use Cases
- Predictive maintenance and enhancing equipment reliability
- Quality assurance and anomaly detection techniques
- Process optimization and improving yield
The Data Lifecycle
- Sensing and gathering industrial data
- Data preparation and quality management considerations
- Fundamentals of data-driven decision making
Day 2: 09:00 - 16:00 (7h)
AI Project Planning and Strategy
- Identifying high-impact use cases
- Assembling the right team and defining success metrics
- Addressing common challenges and mitigation strategies
Case Studies and Industry Applications
- Real-world examples from automotive, food, pharma, and heavy industries
- Insights from digital transformation journeys
- Key success factors and common pitfalls to avoid
Roadmap for Initiation
- Steps to launch an AI initiative
- Technology assessments and vendor selection
- Scalability, ethical considerations, and workforce adaptation
Summary and Future Directions
Requirements
- A foundational understanding of basic industrial processes or plant operations
- An interest in digital transformation or innovation strategy
- Familiarity with discussions regarding technology adoption
Audience
- Operations managers
- Plant executives
- Technical leads
14 Hours
Testimonials (2)
All in general
Daniele Donzelli - ITT ITALIA S.r.l.
Course - CANoe for CAN Compact Training
PLC basic knowledge
