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
- Defining AI, machine learning, and deep learning.
- Categories of learning: supervised, unsupervised, and reinforcement.
- Dispelling myths and examining the reality of AI in industrial settings.
AI in the Context of Smart Manufacturing
- Characteristics that define a “smart” factory.
- The role of AI in Industry 4.0 and industrial automation.
- Overview of enabling technologies such as IoT, edge computing, and digital twins.
Key Use Cases in Manufacturing
- Predictive maintenance and enhancing equipment reliability.
- Quality assurance and anomaly detection.
- Process optimization and yield enhancement.
Understanding the Data Lifecycle
- Sensing and acquisition of industrial data.
- Data preparation and quality assurance.
- 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, pharmaceutical, and heavy industries.
- Insights from digital transformation journeys.
- Key success factors and common pitfalls to avoid.
Roadmap for Getting Started
- Steps for initiating an AI project.
- Technology considerations and vendor selection.
- Scalability, ethics, and workforce adaptation.
Summary and Next Steps
Requirements
- Familiarity with basic industrial processes or plant operations.
- Interest in digital transformation and innovation strategies.
- Openness to discussions on technology adoption.
Target 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
