At the end of this programme, participants will be equipped with a practical, non-technical understanding of Artificial Intelligence — what it is, how it works, and how to apply it within their own roles and departments. Designed specifically for engineers and operational managers in the automotive manufacturing industry, this 2-day experience moves beyond theory and buzzwords into real use cases, live tool demonstrations, and a structured workshop where every participant maps AI directly onto a process. Participants leave not just informed, but action-ready — with a completed AI Use Case Canvas, a 90-day pilot plan, and the confidence to champion AI adoption within their teams.
By the end of this programme, participants will be able to:
Explain AI confidently — in plain language, separating fact from hype without technical jargon.
Identify AI opportunities in their own workflows using the repeatable–data-rich–measurable filter.
Recognise AI applications in automotive manufacturing — quality control, predictive maintenance, supply chain, and process optimisation.
Use AI tools today — including ChatGPT, Copilot, and no-code platforms, with basic prompt engineering skills.
Understand AI project lifecycle — from idea to pilot to scale, and how to avoid the most common failure points.
Build an AI business case — scope a pilot, set KPIs, assess data readiness, and present to leadership.
Make strategic AI decisions — on team roles, budgeting, and build vs. buy vs. partner choices.
Complete an AI Use Case Canvas — a real, scoped AI opportunity from the workflow.
Module 1: Welcome & AI Foundation
Participants will understand AI fundamentals, everyday applications, capabilities, and limitations.
Module 2: AI in Manufacturing
Participants will explore how AI improves quality, maintenance, supply chains, productivity, and resource management.
Module 3: Spotting AI Opportunities
Participants will identify practical, high-value AI opportunities within their daily workflows.
Module 4: How AI Projects Work
Participants will understand the AI project lifecycle, success factors, common risks, and pilot selection process.
Module 5: AI Tools You Can Use Now
Participants will practise using accessible AI tools for productivity, automation, reporting, and problem-solving.
Module 6: Building AI in Your Organisation
Participants will learn how to establish the right roles, partnerships, and approach for successful AI adoption.
Module 7: AI Strategy & Roadmap
Participants will develop a measurable, responsible action plan for implementing AI in their organisation.
Duration 2-Full Day | 16 hours (include 1 hour lunch break each day)
Delivery | Methodology
Face to Face | Hands-on practical
Target Industry | Audience
Automotive / Manufacturing | Engineers (production, QC, process), Managers (operations, planning, admin), and any operational professional seeking to apply AI within their daily work and department.
Course Level
Beginner to Intermediate
Pre-requisites
None — no coding or AI background required. Basic computer literacy and daily use of a smartphone or computer is sufficient. Prior exposure to any AI tool (e.g., ChatGPT, Copilot, Gemini) is an advantage but not required.
Progress withCompassion.
We exist at the intersection of technical mastery and human development, because we believe these are not two separate things. They never were.
