Smart Manufacturing and Industry 4.0 Course

Name: Smart Manufacturing and Industry 4.0 Training Course
Availability: InStock

Assess factory maturity, design connected architectures, prioritize digital use cases, and govern pilots from business case through scale-up.

Smart Manufacturing and Industry 4.0 Course

At a glance

Duration: 1 Week
Format: Classroom
Cities: Istanbul, Casablanca, Vienna, Athens, Madrid, Manama and more
Next session: 9 – 13 November 2026, Istanbul
Average fee: 5,750 €

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Smart Manufacturing and Industry 4.0 Training Course

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Overview

Smart Manufacturing and Industry 4.0 Training Course is a one-week practical course for manufacturing managers, industrial engineers, production leaders, automation specialists, maintenance and quality professionals, and transformation teams. Participants build a Smart Factory Roadmap Pack connecting maturity assessment, business priorities, cyber-physical production, industrial IoT, OT/IT integration, manufacturing data, MES and ERP interfaces, digital twins, analytics, cybersecurity, pilot design, KPIs, and scale-up. Agile Leaders Training Center develops governed factory transformation rather than isolated technology demonstrations.

Who Should Attend

Manufacturing and plant managers responsible for performance, investment, workforce, and transformation priorities
Industrial and production engineers designing connected workflows and measurable improvement use cases
Automation, controls, OT, IT, MES, and enterprise-architecture personnel planning system integration
Maintenance, reliability, quality, energy, and supply-chain professionals using manufacturing data
Digital transformation, cybersecurity, data, analytics, and programme teams coordinating pilots and scale-up

Participants should understand basic production processes and factory systems. The course does not teach PLC programming, configure a specific vendor platform, build production AI models, or replace detailed cybersecurity engineering and functional-safety studies.

Departments and Industries

The course supports discrete, batch, and continuous manufacturing environments pursuing connected and data-enabled operations.

Automotive, aerospace, electronics, machinery, and industrial equipment manufacturing
Food, beverage, pharmaceutical, chemical, metals, cement, and process industries
Production, industrial engineering, automation, maintenance, quality, and operations excellence
OT, IT, MES, ERP, data, cybersecurity, and enterprise architecture functions
Strategy, capital projects, innovation, sustainability, and workforce-development teams

Learning Objectives

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

Assess smart-manufacturing maturity across process, technology, data, people, governance, and cybersecurity.
Map physical production, sensors, controls, manufacturing operations, and enterprise systems using a reference architecture.
Select IIoT, connectivity, MES, data-platform, digital-twin, analytics, and AI use cases tied to operational value.
Define information ownership, interoperability, data-quality, cybersecurity, and lifecycle requirements.
Prioritize a pilot through value, feasibility, risk, readiness, dependencies, and measurable success criteria.
Build a phased Industry 4.0 roadmap with investment logic, workforce actions, KPIs, governance, and scale-up gates.

Course Agenda

Day 1: Assess Smart Manufacturing Readiness

Industry 4.0 Value, Scope, and Connected-Factory Boundary
Process, Technology, Data, People, Governance, and Security Maturity Model
Current-State Production Flow and Digital Pain-Point Map
Business Objective, Loss, Constraint, and Opportunity Register
Smart Manufacturing Vision and Transformation Principles

Day 2: Design the Connected Factory Architecture

Physical Process, Sensor, Device, Control, Operations, and Enterprise Layers
Industrial IoT Connectivity, Edge, Gateway, Network, and Platform Options
MES, SCADA, Historian, QMS, CMMS, ERP, and Planning-System Boundaries
OT/IT Integration and Manufacturing Information-Exchange Map
Asset, Product, Process, Work, Quality, and Performance Data Ownership

Day 3: Select Smart Manufacturing Use Cases

Real-Time Visibility, OEE, Traceability, Quality, Energy, and Flow Use Cases
Predictive Maintenance, Anomaly, Inspection, Scheduling, and Decision Support
Digital Twin Purpose, Scope, Model, Data, Verification, and Lifecycle
Use-Case Value, Feasibility, Data, Integration, Workforce, and Risk Screen
Portfolio Prioritization and Dependency Map

Day 4: Govern Data, Cybersecurity, and Change

Manufacturing Data Quality, Context, Master Data, Lineage, and Access Controls
OT Asset Inventory, Zones, Connections, Identity, Change, and Monitoring
Cybersecurity Risk and Secure-by-Design Pilot Requirements
Human-Machine Roles, Skills, Adoption, Work Design, and Operating Procedures
Architecture, Data, Security, Safety, and Investment Decision Gates

Day 5: Build and Scale the Roadmap

Suggested Exercise: Complete a Smart Manufacturing Maturity Assessment
Suggested Exercise: Map OT, MES, Data, and ERP Interfaces
Suggested Exercise: Prioritize a Digital Twin or IIoT Use Case
Suggested Exercise: Design a Pilot Charter and Benefits Measurement Plan
Capstone Exercise: Present a Smart Factory Roadmap Pack

Practical Exercises

The course uses suggested activities based on a factory process, systems landscape, loss profile, data constraints, and investment choices.

Suggested activity: assess maturity, identify capability gaps, and connect digital opportunities to quality, delivery, cost, safety, energy, and resilience outcomes.
Suggested activity: map sensors, controls, operations systems, enterprise applications, data exchanges, owners, and cybersecurity boundaries.
Suggested activity: compare IIoT, digital-twin, analytics, and automation use cases using value, feasibility, risk, readiness, and dependency criteria.
Suggested activity: define a pilot with baseline, target, scope, architecture, data, security, workforce, governance, acceptance, and scale-up gates.

FAQs

Who suits smart manufacturing and Industry 4.0 training?

Smart manufacturing and Industry 4.0 training suits plant, production, engineering, automation, maintenance, quality, OT, IT, data, cybersecurity, and transformation personnel planning connected-factory improvements.

Does Industry 4.0 mean replacing every existing factory system?

No. A roadmap begins with business needs and the current systems landscape. It can retain, integrate, upgrade, isolate, or replace components according to value, risk, lifecycle, interoperability, and supportability.

How should a smart-manufacturing pilot be selected?

A suitable pilot addresses a meaningful operational problem, has accessible and trustworthy data, manageable integration and cyber risk, committed users, measurable baseline and target, defined ownership, and a plausible path to scale.

What makes a manufacturing digital twin trustworthy?

A trustworthy digital twin has a defined purpose and boundary, traceable source data, validated model behaviour, managed assumptions and uncertainty, controlled interfaces, cybersecurity protections, lifecycle ownership, and evidence that it supports its intended decision.

Conclusion

Participants leave with a Smart Factory Roadmap Pack for their organization. It combines a maturity assessment, current-state map, reference architecture, use-case portfolio, data and cybersecurity controls, pilot charter, benefit model, workforce plan, KPIs, governance, and scale-up gates. The pack turns Industry 4.0 ambition into sequenced and reviewable manufacturing decisions.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 21-40 of 76 events

Location	Dates	Duration	Mode	Price
Amsterdam	Week 05, 2027 1 – 5 February 2027	1 Week	Onsite	€5,700
Trabzon	Week 05, 2027 7 – 11 February 2027	1 Week	Onsite	€6,800
Istanbul	Week 07, 2027 15 – 19 February 2027	1 Week	Onsite	€4,500
Zanzibar	Week 07, 2027 21 – 25 February 2027	1 Week	Onsite	€5,500
Kuala Lumpur	Week 08, 2027 22 – 26 February 2027	1 Week	Onsite	€5,200
Dubai	Week 09, 2027 1 – 5 March 2027	1 Week	Onsite	€4,500
London	Week 10, 2027 8 – 12 March 2027	1 Week	Onsite	€5,700
Tbilisi	Week 11, 2027 15 – 19 March 2027	1 Week	Onsite	€5,000
Kuwait	Week 11, 2027 21 – 25 March 2027	1 Week	Onsite	€5,500
Madrid	Week 12, 2027 22 – 26 March 2027	1 Week	Onsite	€5,700
Nairobi	Week 12, 2027 28 March – 1 April 2027	1 Week	Onsite	€4,500
Phuket	Week 13, 2027 4 – 8 April 2027	1 Week	Onsite	€6,000
Singapore	Week 14, 2027 5 – 9 April 2027	1 Week	Onsite	€5,700
Langkawi	Week 16, 2027 25 – 29 April 2027	1 Week	Onsite	€6,000
Nice	Week 17, 2027 26 – 30 April 2027	1 Week	Onsite	€5,700
London	Week 18, 2027 3 – 7 May 2027	1 Week	Onsite	€5,700
Milan	Week 19, 2027 10 – 14 May 2027	1 Week	Onsite	€5,700
New York	Week 20, 2027 17 – 21 May 2027	1 Week	Onsite	€12,000
Cape town	Week 20, 2027 23 – 27 May 2027	1 Week	Onsite	€4,500
Kuala Lumpur	Week 21, 2027 24 – 28 May 2027	1 Week	Onsite	€5,200

Frequently asked questions

What does this course cover?

OverviewSmart Manufacturing and Industry 4.0 Training Course is a one-week practical course for manufacturing managers, industrial engineers, production leaders, automation specialists, maintenance and quality professionals, and transformation teams. Participants build a Smart Factory Roadmap Pack connecting maturity assessment, business priorities, cyber…

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.

Smart Manufacturing and Industry 4.0 Course