Generative AI for Product Managers: Leading Cross-Functional Collaboration
Discover, Learn, and Grow
In the rapidly evolving landscape of AI-powered product innovation, Generative AI isn’t just a buzzword—it’s a transformative force reshaping how products are conceptualized, developed, and scaled. As a product leader, mastering Generative AI can unlock unprecedented efficiency, creativity, and cross-functional alignment.
Drawing insights from “Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World” by Marco Iansiti & Karim R. Lakhani (ISBN: 978-1633697621), this course, equips you with the strategic frameworks and hands-on tools to harness AI for competitive advantage. Learn how to:
- Bridge the gap between technical AI teams and business stakeholders to drive cohesive product strategies.
- Leverage Generative AI for rapid prototyping, user research, and product iteration while mitigating risks.
- Foster a culture of innovation where AI enhances collaboration across design, engineering, and marketing teams.
Join us to position yourself at the forefront of AI-driven product leadership and turn cutting-edge technology into real-world business impact.
This course prepares product managers to lead AI-powered initiatives with confidence, ensuring seamless cross-functional execution. It provides a structured approach to:
- Strategic Alignment: Define AI-driven product roadmaps that align with business goals and stakeholder expectations.
- Cross-Functional Leadership: Break down silos between engineering, data science, and business teams to accelerate AI adoption.
- Responsible AI Implementation: Navigate ethical considerations, bias mitigation, and regulatory compliance in AI-powered products.
By the end of this course, you will master:
- Master AI-Driven Product Strategy
- Define use cases for Generative AI in your product lifecycle.
- Prioritize AI initiatives with ROI-focused frameworks.
- Lead Cross-Functional AI Teams
- Align engineers, designers, and executives on AI vision and constraints.
- Navigate trade-offs between innovation, feasibility, and ethics.
- Implement Responsible AI Practices
- Mitigate biases in Generative AI outputs (e.g., hallucinations, fairness).
- Design governance models for scalable AI adoption.
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:
- Product Managers & Owners leading AI/ML-powered products.
- Tech Leads & Engineering Managers collaborating with PMs on AI integration.
- Innovation & Strategy Leaders exploring Generative AI for business transformation.
- Startup Founders building AI-first products and seeking scalable execution frameworks.
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.
