Industry of the future certificate

Next sessions:

On demand

Overview

Recent advances in automation, artificial intelligence, and the Internet of Things are profoundly transforming industrial and logistics systems. The digitalization of production processes opens up new opportunities: optimized resource usage, improved forecasting capabilities, and enhanced coordination across supply chains. However, these transformations also bring major technical, organizational, and human challenges.

Objectives

• Understand the organizational, technical, and managerial challenges of digitalization and automation in industrial and logistics systems
• Master the key concepts, tools, and methods required to design and manage production systems in the context of Industry 4.0
• Gain first-hand insights into real-world industrial transformations, particularly in terms of business model evolution

Program

1. Introduction to Industry 4.0

• Key challenges and opportunities
• Operational excellence

2. Socio-organizational Transformations

• Historical perspective
• Impacts on organizations
• Maturity models
• Role of socio-economic stakeholders

3. Designing and Implementing a 4.0 Strategy

• Transformation strategy design
• Implementation tools
• Theoretical frameworks

4. Data Management and Big Data

• Structuring, analyzing, and governing data in industry

5. Robotics and Cobotics

• Integration of collaborative robots into industrial processes

6. Data Science and Artificial Intelligence for Industry

• Data and knowledge management
• Machine learning, deep learning, NLP, computer vision
• Real-world use cases

7. Introduction to Systems Engineering

• Requirements engineering and modeling
• MBSE and associated tools
• Industrial applications (e.g., manufacturing, oil & gas)

8. Functional Safety and Predictive Maintenance

• Risk and safety assessment
• Model-Based Safety Analysis (MBSA)
• Industrial case studies

9. Systems Engineering and the Extended Enterprise

• Complex systems
• Governance, interoperability, collaborative engineering

10. Cybersecurity and Industry 4.0

• ICS technologies, components, protocols
• Attack typologies
• Best practices and cyber-resilience

11. Emerging Manufacturing Technologies and Scientific Computing

• Additive manufacturing
• Scientific computing applied to engineering

Teaching methods

• Duration: 10 days, spread over 2 to 3 days per month (typically Monday–Wednesday)
• Active learning approach: A mix of theoretical lessons, experience sharing, industrial case studies, and collaborative workshops
• Hands-on insights: On-site observation of Industry 4.0 practices

Interdisciplinary methodology: Integration of technical, organizational, and managerial skills

Target Audience & Prerequisites

Target audience:

Professionals involved in or wishing to contribute to the digital transformation of industrial production systems, including:

• Industrial or logistics project managers
• Plant or industrial operations directors
• Supply chain directors and managers
• Consultants and experts seeking to upskill in Industry of the Future

Prerequisites:

Professional experience in industry, logistics, or industrial project management. A foundation in industrial systems or digitalization is a plus.

Organized by

IRT SystemX 

Key Strengths of the Training

This program helps professionals understand and master the transformations driven by Industry 4.0 by combining technical, managerial, and strategic expertise in a hands-on, multidisciplinary setting.

Contact

academy@irt-systemx.fr