Generative AI for Operations Managers and Analysts

About this course

Generative AI for Operations Managers and Analysts

Generative AI for Operations Managers and Analysts is a practical course designed for operations managers, operations analysts, production professionals, supply planning teams, quality professionals, procurement teams, maintenance professionals and business operations leaders who want to apply modern artificial intelligence across operational decision-making and execution.

The course explores how Generative AI, ChatGPT, Claude, Google Gemini, Microsoft Copilot, large language models (LLMs), multimodal AI and prompt engineering can support demand forecasting, Sales and Operations Planning (S&OP), inventory planning, production scheduling, capacity planning, workforce planning, procurement, supplier management, quality control, process improvement, maintenance, asset management, KPI reporting and operations analytics.

Rather than treating Generative AI as a generic productivity tool, the course focuses specifically on real-world operations management workflows. Learners explore how AI can help convert operational data into structured analysis, generate planning scenarios, organize constraints, draft reports, identify investigation questions, improve communication and reduce repetitive administrative work.

A major component of the course is a library of 1000+ practical AI prompts for operations managers and analysts, covering planning, production, procurement, quality, maintenance, reporting, workforce productivity and continuous improvement.

Generative AI Foundations for Operations Management

Begin by understanding how Generative AI fits into modern operations management.

The course introduces large language models, Generative AI concepts and the major decision points found across operational workflows.

Learners explore how AI can support the movement from:

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