Generative AI In Manufacturing Quality
This 2-day hands-on program is designed for manufacturing professionals seeking to harness the transformative power of generative AI large language models (LLMs) such as ChatGPT, Gemini, and Microsoft Copilot. The course focuses on real-world manufacturing applications—ranging from process optimization and quality control to predictive maintenance and documentation automation. Participants will learn how to engineer effective prompts, analyze failure data, generate process documentation, and streamline communication—unlocking new levels of efficiency, insight, and innovation within their operations.
Upon completion, participants will be able to:
Foundational AI knowledge applicable in manufacturing.
Apply AI in multiple manufacturing operations: Quality Planning, SOP, Corrective action.
Structured prompt layering and modifiers to improve AI output quality, accuracy, and contextual relevance.
Insights into the limitations of AI outputs and the importance of using human judgment for final decisions.
Module 1: Understanding AI and Generative Models Participants will understand generative AI tools, manufacturing applications, and ethical considerations for responsible use. |
Module 2: Prompting AI for Success Participants will build structured prompts that generate clear, relevant, and reliable AI outputs. |
Module 3: AI-Driven Quality Control Planning Participants will use AI to develop process flows, control plans, and work instructions aligned with quality requirements. |
Module 4: AI-Assisted Manufacturing SOP Participants will use AI and policy frameworks to draft effective manufacturing SOPs. |
Module 5: Presentation Building with AI Participants will create stakeholder-focused presentations using AI-assisted outlining and slide-generation tools. |
Module 6: AI-Enhanced Supplier Quality & Incoming Inspection Participants will use AI to improve supplier evaluation, inspection planning, quality-report analysis, and corrective-action reviews. |
Module 7: Quality Reporting & Customer Communication Participants will use AI to analyse quality data, prepare 8D reports, and communicate effectively with customers. |
Duration
2 days (14 hours)
Methodology
Live class; practical approach with exercise and quiz sessions; case study, interactive discussion, and presentation.
Target Audience
Manufacturing professionals seeking to apply generative AI (ChatGPT, Gemini, Microsoft Copilot) to process optimization, quality control, predictive maintenance, and documentation automation.
Course Level
Intermediate — a hands-on program assuming basic familiarity with manufacturing quality processes.
Pre-requisites
Participant must have a laptop; an account with OpenAI ChatGPT, Google Gemini, or Deepseek; a stable internet connection; and softcopy product drawing, spec, BOM, lessons learned, customer requirements & other supporting docs.
Progress with Compassion.
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