Introduction

Industry 5.0 represents the next evolution of industrial transformation, shifting the focus from automation-centric production to human-centric, sustainable, and resilient manufacturing systems. Unlike Industry 4.0, which prioritizes smart automation, Industry 5.0 integrates human intelligence, collaborative robotics (cobots), artificial intelligence, digital twins, and ergonomic system design to enhance productivity while prioritizing worker well-being, creativity, and personalization in manufacturing ecosystems. Industry 5.0 & Human-Centric Manufacturing Training Course is designed to equip professionals with advanced competencies in smart factories, AI-driven decision-making, human-machine collaboration, and sustainable production strategies.

As global industries move toward green manufacturing, hyper-personalization, and resilient supply chains, organizations require skilled professionals who can bridge the gap between technology and human capability. This course delivers a comprehensive understanding of cyber-physical systems, industrial AI, human factors engineering, predictive analytics, and ethical automation frameworks. Participants will gain hands-on exposure to real-world applications that redefine productivity, safety, and innovation in next-generation manufacturing environments.

Programme Curriculum

Industry 5.0 & Human-Centric Manufacturing Training Course

Introduction

Course Duration

5 days

Course Objectives

Master Industry 5.0 human-centric manufacturing principles
Understand collaborative robotics (cobots) integration
Apply AI-powered predictive maintenance strategies
Develop skills in smart factory ecosystem design
Implement digital twin technology in production systems
Enhance human-machine collaboration efficiency
Explore sustainable and green manufacturing models
Utilize industrial IoT (IIoT) for real-time optimization
Learn advanced ergonomics and workforce safety systems
Analyze data-driven decision-making in manufacturing
Design resilient and agile supply chain networks
Understand ethical AI and responsible automation
Improve mass customization and hyper-personalization systems

Target Audience

Manufacturing Engineers & Plant Managers
Industrial Automation Specialists
AI & Data Science Professionals in Industry
Operations & Supply Chain Managers
Mechanical & Production Engineers
Quality Assurance & Process Improvement Teams
Government & Industrial Policy Makers
Technical Trainers & Academic Researchers

Course Modules

Module 1: Foundations of Industry 5.0

Evolution from Industry 1.0 to 5.0
Human-centric manufacturing principles
Role of sustainability in modern industry
Integration of AI and human intelligence
Smart factory ecosystem overview
Case Study: German automotive plants integrating human-robot collaboration lines for flexible production.

Module 2: Collaborative Robotics (Cobots)

Introduction to cobot technology
Human-robot workspace integration
Safety protocols and compliance standards
Task sharing between humans and machines
Productivity enhancement models
Case Study: Toyota’s cobot-assisted assembly line improving precision and reducing fatigue.

Module 3: Artificial Intelligence in Manufacturing

AI-driven production optimization
Machine learning for defect detection
Predictive analytics in operations
Cognitive automation systems
Decision-support systems
Case Study: Siemens using AI for real-time quality inspection in smart factories.

Module 4: Digital Twin Technology

Concept of digital twins in manufacturing
Virtual simulation of production systems
Real-time monitoring and optimization
Product lifecycle integration
Risk reduction through simulation
Case Study: General Electric using digital twins for turbine performance optimization.

Module 5: Industrial IoT & Smart Sensors

IIoT architecture and connectivity
Sensor-based real-time data collection
Edge computing in manufacturing
Asset tracking and monitoring
System interoperability
Case Study: Bosch implementing IoT-enabled predictive maintenance in production plants.

Module 6: Sustainable & Green Manufacturing

Carbon-neutral production strategies
Circular economy models
Energy-efficient manufacturing systems
Waste reduction technologies
ESG compliance frameworks
Case Study: Unilever reducing factory emissions through sustainable process redesign.

Module 7: Human Factors & Ergonomics

Workplace safety optimization
Cognitive workload balancing
Ergonomic workstation design
Fatigue reduction strategies
Human performance analytics
Case Study: Boeing redesigning assembly lines to reduce operator strain and increase accuracy.

Module 8: Smart Supply Chain & Resilience

AI-driven supply chain forecasting
Risk management in global networks
Agile manufacturing systems
Blockchain in supply chain transparency
Demand-driven production systems
Case Study: Amazon leveraging AI logistics for real-time supply chain optimization.

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Human-centric design Collaborative automation Smart manufacturing Workforce integration

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Sep 21 2026

21 Sep — 25 Sep 2026

💻 Online / Virtual session

Online $1,000