Generative AI for Executives: Drive Business Growth & Efficiency
Discover, Learn, and Grow
In today’s AI-driven economy, generative AI isn’t just a technological novelty—it’s a strategic lever for business transformation. As industries rapidly adopt AI, executives must move beyond experimentation to harness its full potential for growth, efficiency, and competitive advantage.
This course, “Generative AI for Executives: Drive Business Growth & Efficiency,” inspired by Michael Ramsay, Jennifer Underwood “AI for Business Leaders: A Strategic Guide to Generative AI”(ISBN: 978-1-119-79010-9), equips you with the frameworks and actionable insights to lead AI adoption with confidence. You’ll learn how to integrate generative AI into core business functions, streamline operations, enhance customer experiences, and unlock new revenue streams—without getting bogged down in technical complexities.
Join us to future-proof your leadership, make data-driven AI decisions, and drive measurable business impact.
This executive-focused course demystifies generative AI and translates cutting-edge advancements into practical business strategies. Moving beyond hype, participants will explore real-world applications of AI to solve critical challenges, optimize workflows, and innovate at scale.
Drawing on industry case studies and strategic frameworks, this course will empower you to:
- Drive Growth: Leverage AI for product innovation, hyper-personalized marketing, and new business models.
- Enhance Efficiency: Automate routine tasks, improve decision-making, and reduce operational costs with AI-powered tools.
- Mitigate Risks: Navigate ethical, legal, and governance challenges in AI deployment.
- Scale Adoption: Build a culture of AI fluency and implement change management for seamless integration.
By the end of this course, you will master:
- Strategic AI Integration
- Aligning generative AI with business objectives.
- Prioritizing high-impact use cases across departments.
- Operationalizing AI for Efficiency
- Automating workflows and augmenting human productivity.
- Cost-benefit analysis of AI adoption.
- Ethics, Governance & Future-Proofing
- Addressing bias, security, and regulatory compliance.
- Building a scalable AI-ready organization.
SMF Member Course Fee: $50
Non-SMF Member Course Fee: $50
*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.
This course is designed for:
- C-Suite Executives (CEOs, CTOs, CDOs) seeking AI-driven growth strategies.
- Senior Managers in Operations, Marketing, Product, or Innovation looking to integrate AI.
- Entrepreneurs & Founders scaling businesses with AI-powered efficiencies.
- Consultants & Strategists advising organizations on digital transformation.
- Board Members & Investors evaluating AI’s impact on business value.
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.
