AIM-Ready: Knowledge Systems & Agentic Copilots

Training Provider: SINGAPORE INSTITUTE OF MANUFACTURING TECHNOLOGY
Course Reference: TGS-2026065355
S$480
Original: S$1,600
Save S$1,120

About This Course

This intermediate-level course equips manufacturing professionals to apply agentic AI to build a manufacturing knowledge system that captures, retrieves and transforms plant knowledge into actionable insights.

Participants learn how agentic AI supports 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 provided Jupyter notebooks, participants build agents with realistic manufacturing data and documents, apply retrieval-augmented generation, connect deterministic tools, and evaluate multi-agent systems for safety, latency, cost and adoption.

The course culminates in a team proof-of-concept. No prior machine learning experience is required.

What You'll Learn

Participants will be able to:
- Explain agentic AI and the manufacturing knowledge system, including the knowledge lifecycle and the 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 agent using manufacturing data, documents and retrieval-augmented generation.
- Develop an operational or enterprise agent for simulation-based planning, reporting or decision support with human oversight.
- Compose and evaluate an orchestrated manufacturing knowledge system for 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 based on its value, limitations and readiness.

Entry Requirements

Applicants should possess a degree in any discipline or a Diploma with a minimum of 3 years of related working experience.

Applicants who do not have the required academic qualifications are still welcome to apply, but shortlisted candidates may be required to attend an interview for special approval.

Proficiency in written and spoken English.

Course Details

Duration 16 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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