AI Mastery: Designing and Orchestrating AI-Enabled Workflows
Participants will build fluency in applying AI tools by developing chatbots, simple applications, and structured workflows, before progressing to redesigning business processes and embedding AI into operational contexts. The course emphasises how AI can be integrated into day-to-day work to enhance efficiency, improve decision-making, and support scalable process improvements.
Through a hands-on, project-based learning approach, participants will work on real or curated workplace challenges, enabling immediate application of concepts learnt. The course also incorporates key principles of responsible AI, including risk awareness, governance, and human-in-the-loop design, ensuring solutions are implemented in a safe, ethical, and sustainable manner.
By the end of the course, participants will be equipped to move from experimentation with AI tools to designing and implementing AI-enabled workflows that deliver tangible organisational impact.
- Build AI-enabled tools (e.g. chatbots, simple apps) using prompting and structured approaches
- Apply computational thinking to design effective AI solutions
- Design and implement AI-enabled workflows for operational contexts
- Redesign processes with AI embedded by design
- Apply human–AI collaboration models to enhance decision-making and productivity
- Identify and manage AI-related risks (e.g. bias, hallucination, automation risks)
- Apply responsible AI governance principles in real-world settings
- Translate AI capabilities into measurable outcomes and organisational impact
Module 1 – AI Fluency: From Tools → Solutions → Workflows
- Core elements of GenAI solutions: Prompting, Data, Frameworks
- Building and refining chatbots using structured prompting techniques
- Introduction to simple app development (low/no-code, vibe coding)
- Computational thinking for AI solution design
- Introduction to agentic AI and workflow orchestration
- Identifying high-value workflow opportunities for AI
- Embedding AI into end-to-end processes
- Risk identification: bias, hallucination, automation risks
- Governance guardrails and decision accountability
Module 3 – Human + AI Collaboration & Transformation: From Efficiency → Leverage → Transformation
- Human–AI collaboration models
- Redesigning roles and responsibilities in AI-enabled workflows
- Managing adoption and organisational change
- Scaling AI applications across departments
Module 4 – Data, AI Governance & Responsible AI: From Capability → Trust → Sustainability
- Data readiness for AI implementation
- Responsible AI principles in practice
- Human-in-the-loop design approaches
- Accountability in AI-assisted decision-making
- Professionals involved in operations, process redesign, or workflow optimisation
- Professionals driving digitalisation, transformation, or efficiency improvements
- Professionals already using AI tools who are ready to apply AI more systematically at work
- Managers and functional leads responsible for implementing AI in day-to-day work processes
A list of potential occupations / job roles who could benefit from this programme.
- Operations Manager / Operations Executive
- Business Analyst / Process Analyst
- Transformation Lead / Digital Transformation Manager
- Programme / Project Manager
- Department / Functional Manager
- Administrative Manager / Senior Executive
- Data or Reporting Analyst (non-technical focus)
- IT / Digitalisation Leads (non-developer roles)
Mode: Classroom facilitated training
Duration: 2 days
| Course | Course Dates |
|---|---|
AI Mastery: Designing and Orchestrating AI-Enabled Workflows | TBC |
Note: NTU reserves the right to change the date, venue, and mode of delivery due to unforeseen circumstances. Please prepare a laptop to attend F2F classroom training.
 | Upon successful completion of the course, learners will be awarded with an e-Certificate of Completion. |
| Course | Course Fee (before GST) | Singapore Citizen and Permanent Resident below 40 years old (including GST) | Singapore Citizen 40 years old and above and Mid-Career Enhanced Subsidy (MCES) (including GST) | Enhanced Training Support for Small & Medium Enterprises (ETSS) (including GST) |
| AI Mastery: Designing and Orchestrating AI-Enabled Workflows | S$2,000 | S$1,180 | S$780 | S$780 |
Funding Requirements:
- You must achieve a minimum of 75% attendance for each module.
- You must complete and pass all assessment components.
Read more about funding here.
Credits:
- SkillsFuture Credit (Opening Credit): Applicable
- SkillsFuture Credit ($4000 Mid-Career Top-Up Credit): Not Applicable
- NTU/NIE Alumni Credits (up to S$1,600): Applicable
- UTAP: Not Applicable
NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
 | Alvin Ng 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. At NTU PACE and NTU Nanyang Business School, he teaches AI for Business, Digital Transformation, and Industrial IoT, and leads programmes in transformational leadership and business consulting, giving him direct exposure to AI adoption in enterprises. He is an NTU engineering graduate and a Professional Certified Coach (PCC) and is frequently invited to speak on AI and digital transformation. Alvin’s background makes him well-placed to guide organisations on practical, business-oriented AI deployment. |
 | Ian Tan 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 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. |