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AI+ Manufacturing Practitioner™
Production facilities continuously generate data—the key is to extract actionable insights from it. AI integrates sensor technology, manufacturing analytics, and industrial systems to monitor machine conditions, analyze processes, and prepare production decisions in a more targeted manner.
Key Topics:
- Manufacturing Analytics and Industrial Data
- AI-Based Equipment Monitoring and Predictive Maintenance
- Computer vision in quality control
- Integration of MES, SCADA, and ERP
- AI pilot projects, proofs of concept, and roadmaps
- Governance, Security, and Economic Benefits
Prerequisites:
Fundamentals of manufacturing as well as basic knowledge of AI, machine learning, and automation; familiarity with industrial data and systems is helpful.
Target Audience:
Production, IT/OT, Engineering, Maintenance, Quality, Data Analysis, and Production Management.
This approach allows AI applications to be systematically categorized from the initial production concept through to a viable solution.
Course Content
The Use of AI in Manufacturing
- AI Fundamentals for Manufacturing
- AI in Factory Operations
- Human and Business Contexts of AI
- Use Cases
- Case Studies
- Hands-On Exercises
AI Solutions for Production Processes
- AI-powered image processing
- AI for Maintenance and Reliability
- AI in Manufacturing
- AI for Planning and Automation
- Practical Applications
- Practical Examples
- Hands-On Exercise
Manufacturing Data and Data Access
- Production Data Types
- Data Availability Requirements
- Typical Challenges Related to Data Availability
- Use Cases
- Case Studies
- Hands-On Exercise: KPI Dashboard for Manufacturing with Looker Studio
AI System Architecture and Integration
- Approaches to Industrial AI
- Design of AI Systems
- Integration and Solution Evaluation
- Use Cases
- Case Studies
- Hands-On Exercise: AI System Architecture with Miro or draw.io
AI Pilot Projects in Manufacturing
- Identify and Prioritize AI Opportunities
- Plan pilot projects and proof-of-concepts
- Measuring and Scaling the Impact of AI
- Practical Implementation Limitations
- Use Cases
- Case Studies
- Hands-On Exercise: AI Pilot Projects and Implementation Roadmaps with Miro
AI Governance and Safe Use
- Responsible AI in Business Operations
- Governance and Data Accountability
- Security and Protection Risks
- Human Oversight and Escalation
- Use Cases
- Case Studies
- Hands-On Exercise: AI Risk and Governance Checklist Using Google Sheets
AI Projects: Success, Risks, and ROI
- Failures in AI Projects in Manufacturing
- Patterns of Success in AI Implementation
- ROI Frameworks for AI in Manufacturing
- Industry Comparison
- Use Cases
- Case Studies
- Hands-On Exercise: Estimating AI ROI and Tracking Benefits
AI Trends in Manufacturing
- New AI Developments in Manufacturing
- Digital Twins and Intelligent Monitoring
- Generative AI in Manufacturing
- Outlook on Future Adoption
- Use Cases
- Case Studies
- Practical Guide: Roadmap for AI Adoption
AI Final Project
- Define the Problem and Scope
- Select AI use cases and assess their readiness for implementation
- Evaluate solutions and develop a roadmap
- Business Benefits and Communication
- Key Focus Areas of the Final Project
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
