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Course Outline
Introduction to Generative AI.
- Overview of AI in manufacturing.
- Principles of Generative AI.
- Real-world applications and case studies.
Design Optimisation with Generative AI.
- Using AI for product design and development.
- Case study: Generative design in practice.
- Enhancing creativity and innovation in product design.
Predictive Maintenance.
- Implementing AI for equipment maintenance forecasting.
- Workshop: Building a predictive maintenance model.
- Reducing downtime and maintenance costs with AI.
Quality Control Enhancement.
- Applying AI in quality assurance processes.
- Exercise: AI-driven defect detection and analysis.
- Improving product quality with machine learning algorithms.
Data Analysis and Decision Making.
- Interpreting AI-generated insights for production improvement.
- Group activity: Data-driven decision-making scenarios.
- Utilising data visualization for better understanding of AI outputs.
Integrating AI into Manufacturing Systems.
- Strategies for adopting AI in existing manufacturing workflows.
- Panel discussion: Overcoming challenges in AI integration.
- Best practices for implementing AI in manufacturing environments.
Future Trends in Manufacturing AI.
- Exploring emerging technologies and their potential impact.
- Interactive session: Preparing for the future of manufacturing AI.
- Staying ahead of the curve with continuous learning in AI.
Practical Sessions.
- Hands-on projects using Generative AI tools.
- Peer reviews and group presentations.
- Final project: Developing a comprehensive AI strategy for a manufacturing scenario.
Summary and Next Steps.
Requirements
- Background in manufacturing engineering or process improvement.
- Familiarity with fundamental AI and machine learning concepts.
- Basic programming knowledge, preferably in Python.
Target Audience
- Manufacturing engineers.
- Process improvement specialists.
- AI developers.
14 Hours
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)
