AI Concepts for Managers in Manufacturing

Artificial Intelligence (AI) is transforming manufacturing by optimizing production, reducing downtime, and enabling predictive insights. Managers do not need to be coders, but understanding AI concepts, data-driven decision-making, and its strategic applications is crucial for leading AI-enabled manufacturing initiatives. This course equips managers with the knowledge to leverage AI for operational excellence, process optimization, and business growth.

This course equips managers with the knowledge to leverage AI for operational excellence, process optimization, and business growth.

Module 1: Introduction to AI & Machine Learning AI vs. ML vs. Deep Learning:

• What managers need to know Key terminology: models, training, data, inference

• Examples of AI in manufacturing (predictive maintenance, defect detection, production optimization)

Module 2: AI Use Cases in Manufacturing Predictive maintenance and downtime reduction

• Quality inspection using computer vision Process optimization and energy efficiency

• Supply chain forecasting and inventory optimization

• Case studies: real-world applications in electronics, automotive, and FMCG sectors

Module 3: Data & Decision Making Role of data in AI:

• types, quality, and measurement systems Interpreting AI outputs for managerial decisions

• Understanding metrics, dashboards, and KPIs

Module 4: Implementing AI in Manufacturing AI project lifecycle:

• problem definition → data collection → model development → deployment Identifying ROI and feasibility of AI projects

• Challenges: data quality, change management, workforce readiness

Module 5: Responsible AI & Human

• Oversight Bias, interpretability, and ethical considerations

• Human-in-the-loop decision-making Integrating AI with existing operations

Module 6: Managerial Action Plan Workshop Group exercise:

• Identify an AI opportunity in participants’ facilities

• Prioritize initiatives based on impact, feasibility, and ROI Present action plans and receive feedback

Module 7: Wrap-up & Q&A

• Recap key concepts and actionable insights

• Resources for further learning Open discussion: aligning AI strategy with operational goals

Duration

1 Full Day | 8-hours (including 1-hour lunch)

Methodology

Instructor-led training Case study analysis Interactive discussions and Q&A

Target Audience

Ideal for the electronics, semiconductor, automotive, FMCG, and industrial automation sectors