AI+ Manufacturing Practitioner™

Price
Net: 397,00 €
VAT: 75,43 €

Duration
1 day

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

Request a consultation Add to favorites Print as PDF

When machines break down unexpectedly or quality issues are detected too late, AI can make critical data available sooner. AI+ Manufacturing Practitioner combines artificial intelligence with smart manufacturing, production, maintenance, and quality management.

Key Topics

Predictive Maintenance and Equipment Monitoring
Computer Vision for Quality Inspection and Defect Detection
Production Data, Sensors, and Manufacturing Analytics
MES, SCADA, and ERP Integration
Process Optimization and Intelligent Automation
Responsible AI, Cybersecurity, and ROI

Prerequisites
Basic knowledge of manufacturing processes as well as a foundational understanding of AI, machine learning, and automation. Knowledge of industrial data and systems is beneficial.

Target Audience
Professionals in production, engineering, maintenance, quality, IT/OT, data analysis, and production management.

AI thus evolves from an abstract technological concept into a concrete tool for more reliable equipment, better quality, and data-driven decisions in manufacturing.

Print as PDF

Course Content

AI in Manufacturing – Context and Opportunities

Fundamentals of AI in Manufacturing
AI Across the Entire Plant
The Human and Business Context of AI Implementation
Use Cases
Case Studies
Hands-On Exercises

Key AI Applications

Image Processing AI in Manufacturing
AI for Maintenance and Reliability
Operational AI in Manufacturing
AI in Planning and Automation
Use Cases
Case Studies
Hands-On Exercise

Production Data and Availability

Types of Manufacturing Data
Data Availability Requirements
Common Challenges with Data Availability
Use Cases
Case Studies
Hands-On Exercise: Creating a Manufacturing KPI Dashboard with Looker Studio

AI Systems and Architecture

Implementation Approaches for Industrial AI
Design of AI Systems
Integration and Solution Evaluation
Use Cases
Case Studies
Hands-On Exercise: Exercise on Visualizing AI System Architecture Using Miro or draw.io

Implementation of AI in Manufacturing

Identifying and Prioritizing AI Opportunities
Designing pilot projects and proofs of concept
Measuring and Scaling the Impact of AI
Practical constraints on implementation
Use Cases
Case Studies
Hands-on exercise: Workshop on AI pilot projects and implementation roadmaps using Miro

Responsible AI, Safety, and Security

Responsible AI in Industrial Operations
Governance and Data Accountability
Security and Safety Risks
Human Oversight and Escalation
Use Cases
Case Studies
Hands-On Exercise: AI Risks and Governance Checklist Using Google Sheets

Successes, Failures, and ROI in the Field of AI

Failures in AI Projects in the Manufacturing Industry
Patterns of Success in AI Implementation
ROI Frameworks for AI in the Manufacturing Industry
Industry Comparison
Use Cases
Case Studies
Hands-On Exercise: Estimating AI ROI and Tracking Benefits

Future Trends in AI for Manufacturing

New Developments in AI for Manufacturing
Digital Twins and Smart Monitoring
Generative AI in Manufacturing
Outlook on Future Adoption
Use Cases
Case Studies
Practical Guide: Creating a Roadmap for AI Adoption

Final Project

Problem Definition and Scope
Selection of AI use cases and assessment of implementation readiness
Evaluation of solutions and development of a roadmap
Business Benefits and Communication
Key Focus Areas of the Final Project

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently Asked Questions

What Are the Benefits of AI in Manufacturing?

AI analyzes machine, sensor, and production data and reveals correlations more quickly. Typical applications include predictive maintenance, quality inspection, process optimization, demand planning, and intelligent automation.

Who is this continuing education program intended for?

It is suitable for areas such as production, maintenance, quality management, process optimization, supply chain, IT/OT, automation, and data analysis. The content is also relevant for tasks related to smart manufacturing and digital transformation.

What AI applications are covered in manufacturing?

The focus is on computer vision, predictive maintenance, plant monitoring, production analysis, process optimization, demand forecasting, and intelligent automation. These topics are complemented by generative AI and digital twins.

How Does Predictive Maintenance Using AI Work?

Predictive maintenance uses machine and sensor data to detect anomalies and potential failures early on. This allows maintenance activities to be planned more effectively and helps reduce unplanned downtime.

How can AI improve quality control?

AI can analyze images, sensor data, and process values to automatically detect errors and deviations. Computer vision, for example, enables image-based quality inspection directly within the production process.

What tools are used?

The suite of tools includes, among others, Tableau, Qlik Sense, Lucidchart, PTC ThingWorx, C3 AI, Augury, Cognex VisionPro, UiPath, and Sight Machine. Hands-on exercises also cover tools for dashboards, architecture, and planning.

What role does AI play in Industry 4.0 and smart manufacturing?

AI enhances connected production with intelligent analysis, forecasts, and automated decisions. This makes it possible to monitor machine conditions, optimize processes, and control digital production environments based on data.

Do you have any further questions? Please contact us.

Select your nearest center: *

0800 258 258 055

website@newhorizons.de

First Name *

Surname *

Telephone Number *

Postcode *

E-Mail *

I would like to receive funding for further training – I am currently: *

Company Name

Your message

I hereby confirm that I have taken note of the privacy notice. *