Industry 5.0 Intelligent Enterprise Design Course

Name: Industry 5.0 Intelligent Enterprise Design Training Course
Availability: InStock

Design worker-centered, sustainable, and resilient industrial initiatives using IIoT data, analytics, architecture, and governance.

Industry 5.0 Intelligent Enterprise Design Course

At a glance

Duration: 1 Week
Format: Classroom
Cities: Manama, Cairo, Kuwait, Paris, Bangkok, Dubai and more
Next session: 18 – 22 October 2026, Manama
Average fee: 5,800 €

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Industry 5.0 Intelligent Enterprise Design Training Course

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Overview

Industry 5.0 Intelligent Enterprise Design Training Course is a one-week course for transformation leaders, operations managers, manufacturing engineers, IoT specialists, analysts, and enterprise architects, who leave with an Industry 5.0 Design Portfolio. Participants assess human-centricity, sustainability, and resilience, map IIoT data, select analytics, design human-machine collaboration, and govern an enterprise roadmap. Agile Leaders Training Center develops Industry 5.0 intelligent enterprise design capability.

Who Should Attend

Digital transformation functions responsible for industrial strategy and roadmaps
Operations functions responsible for performance, resilience, and workforce integration
Manufacturing engineering functions responsible for connected production systems
Industrial IoT and analytics functions responsible for operational data and insights
Enterprise architecture functions responsible for technology, integration, and governance

The course assumes participants can describe an industrial process and interpret operating measures, and leaves out device programming, robotics engineering, advanced machine learning, and equipment procurement.

Departments and Industries

The course supports departments and industries designing connected, worker-centered, sustainable, and resilient operations.

Operations, manufacturing, engineering, maintenance, and quality
Digital transformation, data analytics, information technology, and architecture
Manufacturing, automotive, aerospace, and industrial services
Energy, utilities, logistics, and transportation
Healthcare production, food processing, and construction materials

Learning Objectives

By the end of this course, participants will be able to:

Evaluate Industry 5.0 human-centricity, sustainability, and resilience
Analyze industrial processes, actors, assets, and IIoT data
Prioritize operational analytics and intelligent use cases
Design human-machine collaboration and decision safeguards
Build an intelligent enterprise architecture and governance model
Create a staged Industry 5.0 implementation roadmap

Course Agenda

Day 1: Frame Industry 5.0 Value

Industry 5.0 Three-Pillar Assessment
Stakeholder Value and Worker Wellbeing Map
Industrial Resilience Capability Profile
Sustainability Outcome and Boundary Canvas
Industry 5.0 Opportunity Charter

Day 2: Map IIoT and Operational Data

Industrial Process and Asset Map
IIoT Sensor and Data Flow Diagram
Connectivity and Interoperability Matrix
Operational Data Quality Checklist
Cyber-Physical Dependency Register

Day 3: Design Intelligent Use Cases

Industry 5.0 Use-Case Selection Matrix
Operational Analytics Question Canvas
Monitoring and Decision Indicator Tree
Human-Machine Task Allocation Model
Responsible Industrial AI Safeguard Checklist

Day 4: Architect and Govern the Enterprise

Intelligent Enterprise Capability Architecture
Technology and Process Integration Blueprint
Resilience Scenario and Response Map
Sustainability and Human Impact Scorecard
Industry 5.0 Governance Gate Model

Day 5: Practice Industry 5.0 Design

Exercise: Assess an Industry 5.0 Opportunity
Exercise: Map an IIoT Data Path
Exercise: Design Human-Machine Collaboration
Exercise: Prioritize Architecture and Governance Actions
Capstone: Industry 5.0 Design Portfolio

Practical Exercises

The course uses suggested activities based on industrial operations in manufacturing, energy, logistics, and food processing.

Suggested activity: assess an operating challenge against human-centricity, sustainability, resilience, value, and constraints.
Suggested activity: map assets, sensors, data flows, dependencies, quality controls, and decision points.
Suggested activity: compare use cases and design task allocation, safeguards, indicators, and human oversight.
Suggested activity: assemble an architecture, governance model, scorecard, and staged implementation roadmap.

FAQs

Who suits Industry 5.0 intelligent enterprise design training, and what does it assume?

Transformation, operations, engineering, IIoT, analytics, and architecture functions suit the training; it assumes familiarity with industrial processes and operating measures.

How does Industry 5.0 design differ from general Industry 4.0 training?

Industry 5.0 design uses connected technology while making human-centricity, sustainability, and resilience explicit design criteria; general Industry 4.0 training usually concentrates on digital connectivity and automation.

How does IIoT support an Industry 5.0 intelligent enterprise?

IIoT provides operational observations from connected assets and processes that support monitoring, analysis, human decisions, adaptive responses, and evidence for sustainability and resilience.

What makes human-machine collaboration useful in Industry 5.0?

Human-machine collaboration becomes useful when task allocation matches human judgment and machine capability, safeguards are explicit, worker impact is considered, and accountable oversight remains in place.

How should an Industry 5.0 roadmap be prioritized?

An Industry 5.0 roadmap should prioritize use cases by stakeholder value, worker impact, sustainability, resilience, data readiness, integration effort, risk, governance, and measurable operational outcomes.

Conclusion

Participants take back an Industry 5.0 Design Portfolio containing a pillar assessment, process and data maps, use-case choices, analytics questions, task allocation, safeguards, architecture, governance, scorecards, and a roadmap. It changes isolated technology ideas into traceable enterprise design decisions. The portfolio supports review, prioritization, piloting, governance, and improvement.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-74 of 74 events

Location	Dates	Duration	Mode	Price
Dubai	Week 34, 2027 23 – 27 August 2027	1 Week	Onsite	€4,500
Abu Dhabi	Week 34, 2027 23 – 27 August 2027	1 Week	Onsite	€4,700
Lisbon	Week 34, 2027 23 – 27 August 2027	1 Week	Onsite	€5,700
Chicago	Week 34, 2027 29 August – 2 September 2027	1 Week	Onsite	€12,000
Montreux	Week 36, 2027 6 – 10 September 2027	1 Week	Onsite	€7,500
Geneva	Week 36, 2027 12 – 16 September 2027	1 Week	Onsite	€6,200
Toronto	Week 37, 2027 19 – 23 September 2027	1 Week	Onsite	€12,000
London	Week 38, 2027 20 – 24 September 2027	1 Week	Onsite	€5,700
Tbilisi	Week 38, 2027 20 – 24 September 2027	1 Week	Onsite	€5,000
Marbella	Week 38, 2027 26 – 30 September 2027	1 Week	Onsite	€5,700
Berlin	Week 40, 2027 4 – 8 October 2027	1 Week	Onsite	€5,700
Frankfurt	Week 41, 2027 11 – 15 October 2027	1 Week	Onsite	€5,700
Doha	Week 41, 2027 17 – 21 October 2027	1 Week	Onsite	€5,500
Sharm El-Sheikh	Week 42, 2027 18 – 22 October 2027	1 Week	Onsite	€4,100

Frequently asked questions

What does this course cover?

OverviewIndustry 5.0 Intelligent Enterprise Design Training Course is a one-week course for transformation leaders, operations managers, manufacturing engineers, IoT specialists, analysts, and enterprise architects, who leave with an Industry 5.0 Design Portfolio. Participants assess human-centricity, sustainability, and resilience, map IIoT data, select…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Industry 5.0 Intelligent Enterprise Design Course