Boosting Everyday Productivity for Functional Excellence with GenAI
The GenAI Workforce Upskilling Programme is structured as a continuity model, allowing learners to begin with the essential foundation on Day 1 and then progress to the more advanced, hands-on Day 2 training.
The rise of Generative AI (GenAI) has transformed the way organizations operate, enabling teams to streamline workflows, enhance decision-making, and optimize processes. To ensure your department leverages GenAI effectively, this training program has been designed to address key learning objectives that align with actionable and impactful adoption of Generative AI. Participants will gain hands-on experience with prompt and context engineering, workflow automation, and strategic AI collaboration turning them from power users of generative AI to builders of generative AI. Leaving with tangible outputs such as tested prompts, working prototypes and a GenAI adoption roadmap.
Whether you’re looking to stand out in a competitive job market, upgrade your skill set, or boost your productivity at work, this course will leave you with a personal GenAI toolkit, tested prompts, and a clear implementation roadmap that you can apply immediately.
Day 1: GenAI Essentials
This is the mandatory starting point for all learners. It provides the core foundation needed to understand and start using GenAI tools effectively.
Learning Objectives:
• Apply prompt and context engineering to delegate real tasks to GenAI tools: Enable participants to construct effective prompts and context that maximize GenAI capabilities, ensuring precise task delegation and operational efficiency.
• Identify automation-ready workflows in their departments: Equip teams with tools and techniques to analyse existing workflows and determine which processes can benefit from automation through AI.
• Select the most relevant GenAI tools for their specific functions: Provide insights into various GenAI tools, helping participants choose technologies suited to their departmental needs and goals.
• Learn the AI ethics framework, data governance risk assessment and migration for responsible AI Implementation: Enable teams to use AI responsibly and develop their own AI playbook for AI adoption.
Day 2: GenAI Discovery & Hands-On Immersion
After completing Day 1, learners continue to Day 2 for deeper, practical application.
Learning Objectives:
• Build functional, task-ready Agentic AI tailored to real departmental workflows: Enable participants to design, configure, and deploy their first operational AI agent using OpenAI Agent Builder.
• Diagnose and refine AI agent behaviour through structured troubleshooting and iteration cycles: Equip teams with the skills to identify root causes of failure, refine agent actions, improve context logic, and progressively enhance performance through deliberate iteration.
• Validate AI agent workflows through peer review and expert assessment: Create a collaborative environment where teams stress-test each other’s agents, compare design approaches, and internalize best practices that elevate reliability, compliance, and usability.
• Develop an organizational AI adoption roadmap rooted in readiness, governance, and measurable outcomes: Guide participants to evaluate their department’s readiness, map enablers and blockers, and design phased implementation plans with clear ROI metrics and governance considerations.
• Establish long-term structures for sustainable AI integration and continuous capability growth: Prepare participants to build internal AI champions, set up support structures, leverage shared resource libraries, and cultivate a peer-driven learning community that keeps adoption momentum alive.
Day 1: Key topics include:
• Welcome & Strategic Context
• Module 1: The GenAI Enterprise Mindset
• Module 2: Prompt and Context Engineering
• Module 3: Discovering Your AI Opportunities
• Module 4: Tool Landscape & Initial Hands-On
• Module 5: Exploring Productivity Tools with AI Assistant Tools
• Module 6: Responsible AI Implementation
• Day 1 Wrap-Up
Day 2: Key topics include:
• Module 7: Function-Specific GenAI Implementation
• Module 8: Troubleshoot, Finetuning and Iteration
• Module 9: Knowledge Sharing & Validation
• Module 10: Implementation Strategy & Roadmap
• Module 11: Sustainable AI Integration
This flexible learning design ensures that every learner gains essential GenAI literacy on Day 1, with progress to Day 2 for more extensive skills development.
*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.
By proceeding with this registration, you confirm that you meet these pre-requisites, agree to the Terms and Conditions, and understand that any false information may affect your eligibility and result in penalties:
Course Pre-requisites:
Applicants must be 21 years old or above, and meet all of the following criteria:
• be able to speak, listen, write, and read English with Numeracy skills at a minimum proficiency level 4 of the Employability Skills System (i.e., Workplace Literacy and Numeracy, WPLN).
• have at least 2 years of working experience in manufacturing, engineer associates, technician, or team lead-er (PMET)
• have access to a suitable device and possess the necessary IT skills to effectively engage in the sessions.
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.
