1 dagen
Officieel examen
Praktijkgerichte training met individuele begeleiding
AI+ Manufacturing Practitioner™ eLearning
Instructor-led OR Self-paced course + Official exam + Digital badge
- Individuele begeleiding door een trainer uit de praktijk
- Cursus, examen en begeleiding in één traject
- Studielast 1 dagen
Al 27+ jaar praktijkgerichte IT-opleidingen met individuele begeleiding
Schrijf je in
Erkend opleider en partner van
164
cursussen in ons aanbod
±200
gecertificeerde trainers
27+
jaar ervaring, sinds 1999
3
leslocaties in Nederland
Voor wie
Voor wie is deze training
Manufacturing Professionals: Those who want to enhance their industrial skills by applying AI to improve production, maintenance, quality, planning, and operational decision-making.
Plant Managers and Manufacturing Leaders: Those who want to use AI-powered insights to optimize plant performance, reduce downtime, improve coordination, and make data-driven operational decisions.
Production and Process Engineers: Those who want to apply AI techniques for process monitoring, throughput improvement, bottleneck detection, scrap reduction, and production optimization.
Maintenance and Reliability Professionals: Those who want to use predictive maintenance, equipment health monitoring, failure prediction, and reliability analytics to improve asset availability and maintenance efficiency.
Quality Control and Inspection Teams: Those who manage product quality and want to use AI for defect detection, visual inspection, quality prediction, root-cause analysis, and process improvement.
Business Analysts and Data Professionals: Those who want to explore manufacturing analytics, sensor data, operational dashboards, demand forecasting, and data-supported decision-making.
Automation, IT, and OT Professionals: Those who want to understand how AI integrates with sensors, PLCs, MES, SCADA, ERP, cloud platforms, and industrial automation systems.
Manufacturing Transformation and Innovation Leaders: Those who want to implement AI strategies, evaluate use-cases, design pilots, measure ROI, and drive digital transformation across manufacturing environments.
Professionals Interested in AI-Powered Manufacturing: Those who want to build foundational expertise in combining artificial intelligence, industrial data, automation, and modern manufacturing practices.
Het programma
Dit leer je tijdens de training
Geen theorie om de theorie. Elke module eindigt met een opdracht die je direct in je eigen praktijk gebruikt.
Na deze training
Wat je na deze training kunt
- Builds job-relevant AI skills: Learn how AI supports production, maintenance, quality, supply chain, and plant operations.
- Reduces costly downtime: Apply predictive maintenance and equipment monitoring to identify issues earlier.
- Improves quality and efficiency: Use computer vision and analytics to detect defects, reduce waste, and optimize processes.
- Turns industrial data into action: Convert machine, sensor, maintenance, and production data into practical insights.
- Supports successful AI adoption: Evaluate use cases, design pilots, plan implementation, and scale solutions effectively.
- Demonstrates measurable value: Use manufacturing KPIs and ROI frameworks to track operational and business impact.
- Strengthens safety and trust: Apply responsible AI, cybersecurity, human oversight, and risk controls.
- Prepares you for smart manufacturing: Develop the capabilities needed to support connected, automated, and AI-enabled factories.
Inhoud
Het programma
Opgebouwd van basis naar toepassing, met opdrachten uit je eigen praktijk.
Module 1: AI in Manufacturing – Context and Opportunities
- 1.1 AI Fundamentals in Manufacturing
- 1.2 AI Across Plant Operations
- 1.3 Human and Business Context of AI Adoption
- 1.4 Use-Cases
- 1.5 Case Studies
- 1.6 Hands-On
Module 2: Core AI Applications in Manufacturing
- 2.1 Vision AI in Manufacturing
- 2.2 Maintenance and Reliability AI
- 2.3 Operational AI in Manufacturing
- 2.4 AI in Planning and Automation
- 2.5 Use-Cases
- 2.6 Case Studies
- 2.7 Hands-On Exercise
Module 3: Manufacturing Data and Readiness
- 3.1 Types of Manufacturing Data
- 3.2 Data Readiness Requirements
- 3.3 Common Readiness Challenges
- 3.4 Use-Cases
- 3.5 Case Studies
- 3.6 Hands-On Exercise: Manufacturing KPI Dashboard Creation using Looker Studio
Module 4: AI Systems and Architecture in Manufacturing
- 4.1 Deployment Approaches for Industrial AI
- 4.2 AI System Structure
- 4.3 Integration and Solution Evaluation
- 4.4 Use-Cases
- 4.5 Case Studies
- 4.6 Hands-On Exercise: AI System Architecture Mapping Exercise using Miro or draw.io
Module 5: Implementing AI in Manufacturing
- 5.1 Identifying and Prioritizing AI Opportunities
- 5.2 Pilot and Proof-of-Concept Design
- 5.3 Measuring and Scaling AI Impact
- 5.4 Real-World Implementation Constraints
- 5.5 Use-Cases
- 5.6 Case Studies
- 5.7 Hands-On Exercise: AI Pilot and Implementation Roadmap Workshop using Miro
Module 6: Responsible AI, Safety, and Security
- 6.1 Responsible AI in Industrial Operations
- 6.2 Governance and Data Responsibility
- 6.3 Security and Safety Risks
- 6.4 Human Oversight and Escalation
- 6.5 Use-Cases
- 6.6 Case Studies
- 6.7 Hands-On Exercise: AI Risk and Governance Checklist Exercise using Google Sheets
Module 7: AI Success, Failure, and ROI
- 7.1 AI Project Failures in Manufacturing
- 7.2 Success Patterns in AI Adoption
- 7.3 ROI Frameworks for Manufacturing AI
- 7.4 Industry Comparison
- 7.5 Use-Cases
- 7.6 Case Studies
- 7.7 Hands-On Exercise: AI ROI Estimation and Benefit Tracking
Module 8: Future Trends in Manufacturing AI
- 8.1 Emerging AI Directions in Manufacturing
- 8.2 Digital Twins and Intelligent Monitoring
- 8.3 Generative AI in Manufacturing
- 8.4 Future Adoption Outlook
- 8.5 Use-Cases
- 8.6 Case Studies
- 8.7 Hands-On: AI Adoption Roadmap Creation
Module 9: Capstone Project
- 9.1 Problem Definition and Scope
- 9.2 AI Use-Case Selection and Readiness Review
- 9.3 Solution Evaluation and Roadmap Development
- 9.4 Business Value and Communication
- 9.5 Capstone Tracks
Tools you will explore
- Tableau
- Qlik Sense
- Lucidchart
- PTC ThingWorx
- GE Digital Proficy
- Rockwell Automation FactoryTalk Analytics
- Ignition by Inductive Automation
- C3 AI
- Uptake
- Augury
- Cognex VisionPro
- UiPath
- Sight Machine
Praktisch
Goed om te weten
Studielast
1 dagen
Met individuele begeleiding van je trainer.
Leervorm
Instructor-led OR Self-paced course + Official exam + Digital badge
Examen en kenmerken
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Voorkennis
Basic understanding of manufacturing operations such as production, maintenance, quality, and supply chain management. Learners should also be familiar with core AI, machine learning, and automation concepts, along with the ability to interpret operational data, dashboards, metrics, and trends. Awareness of digital systems such as MES, SCADA, ERP, sensors, and connected platforms is recommended, as well as basic business analysis skills to evaluate problems, feasibility, risks, value, and expected outcomes.
Samenvatting
Alles op een rij
AI+ Manufacturing Practitioner™ eLearning
1 dagen
Officieel examen
- Betalen op factuur mogelijk
- Verschuiven of annuleren volgens onze voorwaarden
- Ook incompany voor je hele team via maatwerk
Zekerheid
Inschrijven zonder verrassingen
Heldere voorwaarden
Verschuiven of annuleren doe je volgens onze algemene voorwaarden. Geen kleine lettertjes achteraf.
Hulp bij je keuze
Twijfel je of dit de juiste training is voor jouw rol of team? Stel je vraag, we denken met je mee.
Veelgestelde vragen
Vragen over deze training
Heb ik technische voorkennis nodig?
Nee. Je hoeft niet te kunnen programmeren. Ervaring met Microsoft 365 in je dagelijkse werk is voldoende.
Is het certificaat erkend?
Bij trainingen met examen ontvang je na het behalen een officiële digitale badge van de certificeringspartij, zoals AI CERTs. OC ICT verzorgt als geautoriseerd trainingspartner de training en het examen.
Kan ik de training ook online volgen?
Ja. Naast de klassikale variant in Nieuwegein zijn er virtuele sessies (Virtual Classroom Training). Je zit dan live in de les met dezelfde trainer.
Wat als ik verhinderd ben op de gekozen datum?
Verschuiven naar een andere datum kan volgens onze algemene voorwaarden. Neem contact op met onze servicedesk, dan regelen we het samen.
Kunnen we deze training met het hele team volgen?
Ja. Voor teams verzorgen we deze training incompany, afgestemd op jullie organisatie en cases. Vraag een voorstel aan en we plannen een intake.
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Klaar om te starten?
Eén traject met cursus, examen en individuele begeleiding. Schrijf je in of stel eerst je vraag.