AIM-READY: Knowledge Systems and Agentic Copilots* (16 Hours)
- This programme is in collaboration with the Sectoral AI Centre of Excellence for Manufacturing (AIMfg).
Introduction
Manufacturing operations generate vast knowledge — yet much of it remains locked in documents, systems, and the minds of experienced engineers. This intermediate course aim to equip manufacturing professionals to change that, using agentic AI to build a knowledge system that captures, retrieves, and transforms plant knowledge into actionable insights.
Participants explore how agentic AI strengthens every layer of operations: the engineering layer through maintenance monitoring and grounded question answering; the operational layer through planning, scheduling, and simulation; and the enterprise layer through reporting and decision support.
Using the Strands framework and hands-on Jupyter notebooks (interactive Python notebooks), participants build agents with realistic manufacturing data and documents, apply retrieval-augmented generation, connect deterministic tools, and evaluate multi-agent systems against real-world criteria — safety, latency, cost, and adoption. The course culminates in a team proof-of-concept grounded in your own workplace context. No prior machine learning experience is required.
About this Programme
By the end of this course, participants will be able to:
- Explain agentic AI and the manufacturing knowledge system, including the knowledge lifecycle and its engineering, operational, and enterprise layers.
- Configure the Strands agent framework with a suitable LLM backend and deterministic tools for a manufacturing application.
- Build a knowledge-grounded engineering-layer copilot using manufacturing data, documents, and retrieval-augmented generation.
- Develop an operational or enterprise copilot for simulation-based planning, reporting, or decision support with human oversight.
- Compose and evaluate an orchestrated manufacturing knowledge system across grounding, guardrails, safety, latency, cost, and adoption.
- Identify a workplace use case, build and demonstrate an agentic AI proof-of-concept, and recommend practical next steps.
Who Should Attend
This course is designed for manufacturing professionals who want to apply AI through knowledge systems and agentic copilots — whether you work on the shop floor, in operations, or at the enterprise level. It is particularly well-suited to engineers, maintenance and quality professionals, automation and IT/OT personnel, digital transformation teams, and operations managers: in short, anyone responsible for turning manufacturing data and knowledge into better decisions.
Corporate-sponsored participants and teams with identified workplace use cases will get the most out of this programme. Participants are encouraged to bring representative business documents, workflows, or datasets to work on a proof-of-concept relevant to their own organisational context.
No prior machine learning experience is needed. Participants should be comfortable with everyday digital tools such as documents, spreadsheets, and web-based applications, and have a working knowledge of manufacturing, engineering, operations, or business processes.
If you plan to bring company data or materials, please ensure these have been approved for training use and comply with your organisation’s data-sharing and confidentiality requirements.
: Full day
: Morning
: Afternoon
: Evening