(SCTP) Advanced Professional Certificate in AI-Enabled Business Automation & Workflow Design for Business Professionals
This programme enables business support professionals to transition into higher-value, AI-enabled roles by developing practical capability to design, automate, and deploy business workflows and applications using no-code and AI-assisted approaches.
Participants build applied AI fluency — understanding how AI systems function in enterprise contexts, where their limitations lie, and how to exercise sound human judgment within AI-driven processes. The programme emphasises deliberate human–AI collaboration, equipping learners to design workflows that combine AI efficiency with human oversight, contextual decision-making, governance, and risk controls through structured human-in-the-loop design.
The learning journey progresses from AI readiness and workflow redesign to no-code application building, automation, testing, and organisational deployment. Learning is hands-on and scenario-based, grounded in real business functions including operations, HR, finance, customer service, marketing, and programme management.
Participants move beyond experimentation to production-ready implementation, gaining the skills to responsibly integrate AI solutions into existing business systems. Upon completion, they will be equipped to manage AI-enabled processes, oversee human-AI interactions, and deliver measurable operational and business outcomes.
Course Date
Coming in AY2027
Registration Closing Date
-
Duration
This course is offered on a part-time (3.5 months) basis.
Who Should Attend
This programme enables business support professionals to transition into higher-value, AI-enabled roles by developing practical capability to design, automate, and deploy business workflows and applications using no-code and AI-assisted approaches.
- Pior hands-on experience using generative AI tools or chatbots in work contexts
- Willingness to redesign existing work processes
- No programming background required
All applicants will undergo a shortlisting process that includes resume submission, a pre-course assessment, and review by instructors and career consultants to assess suitability before acceptance.
Venue
Virtual (Online), NTU e-Learning Platform & NTU@one-north campus
- Comprehensive and Strategic Insight
Ability to develop a structured understanding of how AI functions within real business environments — moving beyond surface-level tools to enterprise-ready application. Participants gain clarity on AI capabilities, risks, governance considerations, cost implications, and organisational readiness, enabling confident and responsible AI-enabled transformation.
- Expand Your Professional Network
Connect with forward-thinking peers, AI practitioners, business leaders, and industry experts. Through collaborative workshops, peer critiques, and capstone presentations, participants build meaningful relationships that open opportunities for partnership, experimentation, and cross-industry innovation. - Global and Local Perspective on AI-Enabled Business Transformation
Examine global developments in AI adoption alongside regionally relevant regulatory, governance, and workforce considerations. Participants learn how AI transformation strategies are shaped by organisational context, risk posture, compliance requirements, and sector-specific operational realities. - Hands-On Learning with Real-World Application
Engage in expert-led workshops, realistic enterprise case scenarios, guided builds, and iterative project work. Participants design, prototype, test, automate, and deploy AI-enabled dashboards, workflows, and applications addressing real operational challenges across HR, finance, operations, customer service, marketing, and programme/project management.
Fee & Funding
| Modules | Course Fee payable before funding | Course Fee payable after SWDA funding, if eligible under various schemes | ||
| ¹ SCs and PRs (Up to 70% Funding) | ² SCs aged 40 and above (Up to 90% funding) | ³ AFS (Up to 95% funding) | ||
| AI Fluency, Decision-Making & the future AI-enabled Enterprise | $2,452.50 | $735.75 | $285.75 | $173.25 |
| Prompting, Data & Frameworks | $1,635 | $490.50 | $190.5 | $115.50 |
| Building AI Applications (No-Code) | $2,670.50 | $801.15 | $311.15 | $188.65 |
| Systems Thinking & AI-Ready Workflow Design | $2,670.50 | $801.15 | $311.15 | $188.65 |
| Automation, AI-Assisted Coding & Deployment | $2,670.50 | $801.15 | $311.15 | $188.65 |
| Capstone: Business Workflow Transformation | $3,433.50 | $1,030.05 | $400.05 | $242.55 |
| Total Programme Fee | $15,532.50 | $4,659.75 | $1,809.75 | $1,097.25 |
- Fees listed above are inclusive of 9% GST.
Funding Eligibility
1 Eligible Singapore Citizens (SCs) aged 39 years and below and Permanent Residents (PRs) must attain at least 75% training attendance and passed all associated assessments to be eligible for funding up to 70% of the course fee. Learners will have to bear the full courses fee upon failure to meet either one of the requirements.
2 Mid-career Enhanced Subsidy (MCES) - SCs aged 40 and above must attain at least 75% training attendance and passed all associated assessments to be eligible for funding up to 90% of the course fee. Learners will have to bear the full courses fee upon failure to meet either one of the requirements.
3 Additional Course Fee Funding Support - Individuals must be Singapore Citizens and meet one of the following eligibility criteria:
a) Long-term unemployed individuals (unemployed for six months or more);or
b) Individuals in need of financial assistance – ComCare Short-to-Medium Term Assistance (SMTA) recipients or Workfare Income Supplement (WIS) recipients; or
c) Persons with disabilities.
Other Funding Support
- NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
- Eligible for a SkillsFuture Mid-Career Course Credits top-up of $4,000 to offset out-of-pocket fees for SkillsFuture Career Transition Programmes (SCTP).
- SkillsFuture Mid-Career Training Allowance is available for the SkillsFuture Career Transition Programme in full-time and part-time.
Course Withdrawal and Refund Policy
Refunds requested prior to course commencement date may be subjected to an administrative fee and the deduction of any non-refundable pre-paid amounts. No refunds will be granted upon course commencement.
 | Upon completing the programme, participants will be awarded an (SCTP) Advanced Professional Certificate in AI-Enabled Business Automation & Workflow Design for Business Professionals from NTU. |
Not sure if this is the right course for your career progression or transition? Book a session to gain clarity!
Learning Objectives
- Apply AI fluency and decision-making judgment responsibly
Understand how modern AI systems work, recognise limitations and risks, and apply responsible AI and human-in-the-loop principles in enterprise contexts. - Redesign work as AI-enabled systems
Analyse workplace processes and redesign them as structured AI-enabled workflows and applications with clear logic, controls, and accountability. - Build functional AI applications without programming
Design and build working AI-enabled workflows and applications using no-code and AI-assisted approaches. - Automate, integrate, and operationalise AI solutions
Extend workflows into automated and integrated systems suitable for real organisational environments. - Deploy AI solutions from pilot to production readiness
Apply testing, monitoring, cost, risk, and deployment considerations to move AI solutions from sandbox and pilot stages into production-ready use.
Outline
Equips participants to apply sound decision-making judgment to determine when AI should augment work, automate processes, or be constrained with human oversight. Governance, responsible AI practices, and trust considerations are emphasised to ensure safe and effective adoption in business environments.
Participants also examine how AI reshapes roles, workflows, and operating models, preparing them to supervise and orchestrate AI-enabled workflows. By the end of the course, participants are ready to take ownership of AI-enabled business processes, forming a strong foundation for hands-on building and deployment in subsequent part of the programme.
Participants learn how to craft effective prompts that augment their existing domain expertise, use data ethically and efficiently to reduce hallucinations and apply frameworks to address industry-specific issues. With the foundation in place, participants will be able to build effective chatbots to solve problems with minimal prompting.
Participants learn to translate everyday work requirements into functional AI applications, apply structured problem-solving and design thinking, and iteratively improve reliability and usability.
The course emphasises practical implementation over theory, enabling business users to independently create AI-enabled solutions that support real operational workflows across functions such as operations, HR, finance, marketing, and programme management.This course equips participants with systems thinking skills to analyse business work as end-to-end workflows rather than isolated tasks.
Participants learn to translate complex, ambiguous business problems into structured, AI-ready workflow designs by identifying inputs, decisions, exceptions, and outputs.
The course focuses on designing workflows that appropriately combine AI logic, human judgment, and governance controls, ensuring clarity, explainability, and reliability.
By the end of the course, participants are able to produce clear, build-ready workflow designs that can be confidently implemented as AI-enabled applications within real organisational contexts.Participants also gain the practical understanding needed to work effectively with AI-generated code without becoming programmers. This allows them to collaborate confidently with technical teams.
Finally, participants learn how to exercise sound judgment in AI deployment, focusing on cost, security, failure risk, and human oversight. Participants learn when to use AI, when to rely on rules or human judgment, and when automation should be avoided in enterprise settings.The capstone culminates in project presentations, supported by coaching and structured feedback, enabling participants to clearly communicate their problem framing, solution design, and practical impact. This segment focuses on demonstrating end-to-end, job-relevant capability, preparing participants to present portfolio-ready work that evidence employability and readiness for AI-enabled roles.
Trainers
Alvin Ng
Programme Director
Alvin has over 28 years of global experience in sales, product management, and digital business growth. He was Chief Operating Officer at Aboitiz Data Innovation, a data science and AI venture focused on human-centric, transformative AI solutions. Previously, as Regional Vice President of Digital & Sustainability Solutions (APAC) at Johnson Controls, he led the growth of its digital, sustainability and AI portfolio from US$5 million to US$50 million in 2.5 years, demonstrating strong capability in AI-enabled value creation.
Ian Tan
Programme Director
Ian Yong Hoe Tan is a university lecturer, Generative AI coach, and communications consultant with 24 years of experience across the media, consumer technology, and gaming industries. He is a full-time lecturer at NTU’s Wee Kim Wee School of Communication and Information, where he teaches marketing, advertising, public relations, and journalism, and also trains executives in leadership communication at the Nanyang Business School.
As a Generative AI coach, Ian has conducted programmes for many organisations such as DBS, Singapore Airlines, MINDEF, OCBC, SingHealth, Canon, IHH Healthcare, PSA, Sembcorp, Belkin, and the Singapore School of the Arts. He also leads The Straits Times Generative AI Masterclasses and trains creative teams in blending AI with traditional design.
Ian previously worked in journalism at Singapore Press Holdings and later held senior leadership roles at Microsoft, Razer, and Lenovo—leading regional and global teams and contributing to Razer’s US$4 billion IPO. A LinkedIn Top Voice since 2024, he writes regularly on communications, AI, and business excellence on LinkedIn, his ThinkTan website, and as a columnist for Channel NewsAsia.
Shaun Chong
Shaun Chong is the Chief Technology Officer and co-founder of Ninja Van, Southeast Asia’s leading tech-enabled last-mile logistics company. Since 2014, he has driven the technology vision, architecture, and scaling of Ninja Van’s operations across six markets—Singapore, Malaysia, Indonesia, Thailand, Vietnam, and the Philippines—supporting millions of deliveries daily through data-driven, high-performance systems.
Before Ninja Van, Shaun held leadership roles in cloud solutions and business development at Alpst Corporation and Nubefy. He also worked in the telecommunications sector and served as a project manager at Terrapinn, where he led strategy, business development, and senior-level industry engagement for global events. Shaun began his career as a teaching assistant at the National University of Singapore’s School of Computing, conducting tutorials in e-commerce and programming.
He brings a strong blend of deep technical expertise, product leadership, and regional operating experience in scaling complex technology platforms across fast-growing markets.
Swarup Biswas
Swarup Biswas is a seasoned leadership coach and transformation leader with nearly three decades of global experience driving growth, operational excellence, and organizational change across Asia Pacific. Over 26 years at Johnson Controls, he progressed from Project Engineer to Vice President & Managing Director roles, leading multi-billion-dollar portfolios—including $2.2B in Sales and a $1.1B P&L Service business—across 14 countries and 6,500+ people.
A two-time Chairman’s Award recipient for Global Excellence, Swarup spearheaded large-scale sales growth and operational transformation initiatives that were later adopted across America and Europe. He is particularly recognized for turning around a loss-making India operation to 5% Return on Sales within two years.
His areas of expertise include Leadership, Organizational Transformation, Leading Change, and Sales & Operational Excellence. He works extensively on strategy and execution alignment, turnaround leadership, leading through complexity, building and scaling businesses across Asia, leadership coaching, cultivating growth mindsets, and helping leaders understand and apply AI as a practical business tool.