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 and then progress to the more advanced, hands-on.
The rise of Generative AI (GenAI) has transformed the way organisations 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.
• 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 organisational 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.
Designed for business owners looking to upskill their teams to drive productivity as well as job seekers looking to stay competitive in today’s job market
- Welcome & Strategic Context
- Module 1: The GenAI Enterprise Mindset
- Module 2: Discovering Your AI Opportunities
- Module 3: Tool Landscape & Hands-On Exploration
- Module 4: Building Your First AI Productivity Solution
- Group Presentation
- Module 5: Responsible AI Implementation
- Closing & Reflection
Participants are required to create and access their own individual accounts for the tools used during the hands-on lab components. The workshop will utilise the following platforms:
- Zapier
- OpenAI
- Claude Desktop
Participants must be able to:
- Register using a valid email address
- Log in securely during the session
- Perform basic configuration steps as guided by the facilitator
These accounts are essential for participation in the workflow and agentic lab exercises. Participants who are unable to create or access the required tools may have limited ability to complete the practical components of the programme.
Participants are encouraged to use a personal device (laptop) with stable internet access. Corporate firewall restrictions should be checked in advance where applicable.
Course Fee: $250 per participant
(After SMF and e2i support)
*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.
It is recommended that participant meet the following:
- Minimum age requirement: 21 years old.
- Able to speak, listen, write, and read English with Numeracy skills at a minimum proficiency level 2 of the Employability Skills System (i.e., Workplace Literacy and Numeracy, WPLN).
- Possess Secondary School educational level qualification (O or N-Level).
- Minimum knowledge of data analytics required.
- At least 2 years relevant PMET experience.
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.
