Conversational Agentic AI for Manufacturing
This 3-day applied workshop equips manufacturing professionals, process engineers, and digital innovation leads with the knowledge and skills to design, build, and deploy conversational AI agents that enhance operational efficiency, communication, and decision-making. Participants will learn to create intelligent, role-specific AI assistants capable of supporting technicians, supervisors, and maintenance teams through natural, context-aware interactions.
By combining conversation design principles with automation tools like OpenAI, Zapier, and Make, this programme demonstrates how AI agents can integrate into production, maintenance, and quality workflows—streamlining reporting, troubleshooting, and performance monitoring. Learners will also apply the Model Context Protocol (MCP) to build multi-agent ecosystems that collaborate seamlessly across systems.
What You’ll learn:
- Explain how Conversational and Agentic AI can transform manufacturing operations.
- Identify communication and workflow challenges that can be automated with AI agents.
- Design effective dialogue flows using conversation design frameworks.
- Build task-specific AI agents with OpenAI, Zapier, and Make.
- Implement MCP for multi-agent orchestration and shared context memory.
- Connect conversational agents to factory systems for real-time information exchange.
- Apply PDPA-compliant governance and AI ethics principles in deployment.
- Test, evaluate, and refine conversational agent performance based on KPIs.
- Develop an implementation strategy for scaling conversational AI across the enterprise.
Day 1: Conversational Foundations & Design Thinking
- Module 1: The Role of Conversational AI in Smart Manufacturing
- Module 2: Conversation Design Fundamentals – Intent, Context, and Tone
- Module 3: Agentic Systems and Multi-Agent Thinking in Manufacturing
- Module 4: Tools Overview – OpenAI, Zapier, Make, and MCP Basics
- Module 5: Hands-On Lab – Designing the First AI Operator Assistant
Day 1 Wrap-Up: Reflection – From Human Communication to Machine Collaboration
Day 2: Building and Integrating Conversational Agents
- Module 6: Designing End-to-End Task Flows and Conversation Triggers
- Module 7: Integrating ERP/MES Data and Workflow Automation
- Module 8: Applying MCP for Context Sharing and Agent Collaboration
- Module 9: Hands-On Lab – Building Conversational Agents with Zapier & OpenAI
- Module 10: Use Case Simulation – Production, Quality, and Maintenance
Day 2 Wrap-Up: Peer Review – Evaluating Functional Agentic Designs
Day 3: Optimization, Governance & Deployment
- Module 11: Fine-Tuning Conversational Agents – Prompt Engineering & Context Iteration
- Module 12: Governance and PDPA Compliance in Conversational AI
- Module 13: Testing and Evaluating Agent Performance Metrics (OEE, MTTR, etc.)
- Module 14: Scaling Conversational AI in Manufacturing Ecosystems
- Module 15: Capstone Lab – Deploying an Agentic Ecosystem Prototype
Final Module: Implementation Showcase – “From Voice to Value: The Conversational Factory”
*Course fees before GST
Note that purchases of goods and services from GST-registered businesses will be subject to GST at 9% GST. The GST amount calculated will be based on full course fees.
• O Level and above
• A minimum of 3 years working experience
• Language proficiency is English, at GCE N’ Level
An applicant must be at least 18 years of age on admission to the programme.
1. All notice of withdrawal must be given in writing before the issuance of letter of confirmation. Once confirmation letter is sent to participant, no cancellation will be allowed or penalty charges will apply.
If notice of withdrawal is received:
– At least 1 week before commencement of the course, a 20% of the full course fee will be charged. For government-funded course, a 20% of full course fee before funding will be charged.
– Less than 1 week before commencement of the course, a 30% of the full course fee will be charged. For government-funded course, a 30% of full course fee before funding will be charged.
– No show on the scheduled date, a full course fee will be levied. For government-funded course, a full course fee before funding will be charged.
2. For all government-funded programmes (WSQ & Non-WSQ), funding is only applicable to:
– Singapore Citizens or Singapore Permanent Residents
– Participants who have achieved at least 75% attendance and passed all required assessments
Full course fee will be charged to participants who fail to meet the above-mentioned criteria.
3. When a course is cancelled, fail to commence or fail to complete under unforeseen circumstances, participant is allowed to defer the intake at no cost or withdraw from the course; under such situation, a full refund of the advance payment will be given.
4. Notice of change in participant’s name must be given in writing, not less than 5 days before the course commencement date.
5. SMF CCL reserves the right, at our sole discretion, to change, modify or otherwise alter these terms and conditions at any time. Such modifications shall become effective immediately upon the posting thereof.
6. SMF Centre for Corporate Learning Pte Ltd has a Data Protection Policy which provides more information about how we collect, use and disclose your personal data. Please click the link below to know more.
https://smfccl.sg/privacy/
1. The candidate has the right to disagree with the assessment decision made by the assessor.
2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
6. If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
8. The candidate must lodge the appeal within 7 days, giving reasons for appeal together with the appeal fee of $109.00 (inclusive of 9% GST).
9. The assessor can help the candidate with writing and lodging the appeal.
10. The assessment manager will collect information from the candidate & assessor and give a final decision.
11. A record of the appeal and any subsequent actions and findings will be made.
12. An Assessment Appeal Panel will be formed to review and give a decision.
13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
15. Please click the link below to fill up the Candidates Appeal Form.
