Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to Generative AI
- An overview of AI's role in the manufacturing sector.
- Core principles underlying Generative AI.
- Examination of real-world use cases and industry case studies.
Design Optimization using Generative AI
- Leveraging AI for enhanced product design and development cycles.
- Case study analysis: Generative design in practical applications.
- Fostering creativity and innovation through AI-assisted design.
Predictive Maintenance
- Deploying AI for accurate equipment maintenance forecasting.
- Workshop: Constructing a functional predictive maintenance model.
- Minimizing downtime and reducing maintenance expenses through AI.
Advancing Quality Control
- Integrating AI into quality assurance workflows.
- Practical exercise: Detecting and analyzing defects with AI.
- Elevating product standards using machine learning algorithms.
Data Analysis and Strategic Decision-Making
- Decoding AI-generated insights to drive production improvements.
- Group exercise: Navigating data-driven decision-making scenarios.
- Employing data visualization to clarify AI outputs.
Integrating AI into Manufacturing Ecosystems
- Strategies for embedding AI into established manufacturing workflows.
- Panel discussion: Addressing common hurdles in AI adoption.
- Industry best practices for AI implementation in manufacturing settings.
Future Trends in Manufacturing AI
- Investigating emerging technologies and their potential impact on the industry.
- Interactive session: Preparing teams for the next generation of manufacturing AI.
- Maintaining a competitive edge through continuous AI learning.
Practical Application Sessions
- Hands-on projects utilizing specific Generative AI tools.
- Peer reviews and collaborative group presentations.
- Capstone project: Formulating a comprehensive AI strategy for a specific manufacturing context.
Recap and Recommended Next Steps
Requirements
- A solid foundation in manufacturing engineering or process improvement.
- Basic familiarity with AI and machine learning concepts.
- Foundational programming skills, ideally in Python.
Target Audience
- Manufacturing engineers.
- Specialists in process improvement.
- AI developers.
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt
