(SCTP) Advanced Professional Certificate in AI Engineering

Aspire to work as an AI Applications Engineer, AI Integration Engineer, or Full-Stack Developer with AI capabilities? Look no further. The Advanced Professional Certificate in AI Engineering is designed to help professionals pivot confidently into Singapore’s fastest-growing tech roles. This programme equips learners with both the engineering depth and applied AI expertise to stay competitive in a digital-first economy.

Through five progressive modules, participants master practical skills in applying AI models and retrieval pipelines, creating responsive frontends, implementing secure backends, and automating deployment with DevSecOps practices.

The programme culminates in a GenAI capstone project, where learners design, develop, and deploy an AI-powered application that demonstrates job-ready capabilities.

Course Date

Application opening soon!

Register your interest here to receive latest course updates

Duration

This course is offered on a part-time (5 months) and full-time (3 months) basis.

Who Should Attend

This programme caters to a broad audience - from those with foundational programming skills transitioning from IT support or system administration, to existing developers seeking to enhance their AI capabilities

Individuals with prior knowledge in programming fundamentals will enhance their learning experience and deepen their understanding of the curriculum.

All applicants will undergo a shortlisting process that includes resume submission, a pre-course technical assessment, and review by instructors and career consultants to assess suitability before acceptance.

Venue

Virtual (Online), NTU e-Learning Platform & NTU@one-north campus

Master In-Demand Technologies
Our intensive programme is designed to make you a job-ready engineer, starting with a strong foundation in AI and software engineering fundamentals and progressively advancing to in‑demand skills such as full‑stack web development, automated DevOps pipelines, and the integration of cutting‑edge generative AI models into real‑world applications.

Build a Professional Portfolio
Go beyond theory by applying your skills in a comprehensive, hands-on capstone project. You will graduate with a professional portfolio that showcases your ability to build and deploy the intelligent, AI-powered solutions that employers are looking for.
Career Opportunites in AI‑Driven Tech Roles
Qualify for in‑demand roles such as AI Applications Engineer, AI Integration Engineer, Full‑Stack Developer, and Backend Developer with AI expertise, positioning yourself for the next wave of digital transformation.

Fee & Funding

Standard Course Fee: $31,174 (Inclusive of GST)

SSG Funding Support	Course fee	Course fee payable after SSG funding, if eligible under various schemes
	BEFORE funding & GST	AFTER funding & 9% GST
¹Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding)	S$28,600	Pending SSG's approval
²SCs aged ≥ 40 years old SkillsFuture Mid-career Enhanced Subsidy (MCES) (Up to 90% funding)		Pending SSG's approval
³ SCTP Additional Course Fee Funding Support (AFS) (Up to 95% funding) This funding is only applicable to eligible applicants		Pending SSG's approval

Payment will be made per module.The full amount of nett fees is required to be paid before the start of each module.
NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
SkillsFuture Credit (Mid-Career) top-up of $4,000 can be utilised

¹Cat-A SSG Funded Courses - Eligible Singapore Citizens and PRs must attain at least 75% training attendance and passed all associated assessments in order to be eligible to enjoy 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.

²Mid-career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above must attain at least 75% training attendance and passed all associated assessments in order to be eligible to enjoy subsidies up to 90% of the course fee.

³Additional Course Fee Funding Support (ACFFS)- 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.

*The maximum government funding for each module is capped at $7,000, regardless of the specific funding scheme. As a result, certain modules within the course may not be funded up to the typical 90% or 95% levels. This limitation contributes to the slightly higher nett fee. We seek your understanding on this matter.

Learning Objectives

At the end of the programme, learners will be able to:

Design and build AI-enabled web and enterprise applications
Integrate generative AI, Large Language Models, and existing AI services into software systems using APIs to build RAG-powered chatbots, configure AI agents, and basic agentic system
Implement backend services, APIs and data persistence
Architect secure, scalable, production-ready solutions and apply DevSecOps practices to deploy and manage AI applications
Deliver a portfolio-ready GenAI capstone project

Outline

Build strong foundations in coding, Git, agile workflows, databases, and core AI concepts to prepare for AI-driven engineering.

Develop responsive, interactive interfaces using modern frameworks, integrating AI features such as streaming outputs, prompts, and transparent AI interactions.

Implement secure, scalable backend systems with APIs, databases, microservices, and AI integrations, emphasizing reliability, observability, and structured engineering practices.

Automate deployment with CI/CD pipelines, containerization, and DevSecOps practices, integrating security and microservices for scalable, trustworthy AI applications.

Leverage LLM APIs, RAG systems, and agentic workflows, culminating in a capstone project that delivers a production‑ready AI solution.

Trainers

Assistant Professor Leonard Ng Wei Tat

Programme Director

Assistant Professor Leonard Ng Wei Tat is a faculty member with the School of Materials Science and Engineering in NTU. He leads his research group, the NGenuity Lab, whose research focuses on the development of self-driving lab systems for materials science. In particular, he applies AI techniques together with robotics systems to discover new materials and improve the properties of solar cells and cultivated meats.

Assistant Prof. Ng holds a PhD from the University of Cambridge, a MSc in Computer Science from Georgia Tech, a MSc from the University of Leeds and a BSocSci. From the Singapore Management University. He has published in multiple high-profile journals and AI conferences such as ICLR and Nature Communications.

https://www.linkedin.com/in/leonardngwt/

Daniel Goh

Daniel Goh brings over 16 years of valuable IT industry experience in business development, systems integration, and software development to our software engineering programme.

As the head of a software development and systems integration business, he delivers practical and modern solutions to multinational corporations, addressing their unique needs. Working closely with his team, he has successfully designed and developed end-to-end technology solutions for clients in defense, healthcare, and financial sectors.

A graduate of Nanyang Technological University’s School of Computer Engineering, he also serves as an instructor for Skills Union Pte Ltd, where he teaches web development, focusing on topics such as HTML/CSS, JavaScript, ReactJS/React Native, NodeJS, and SQL/NoSQL as well as Java and SpringBoot.

With his extensive industry background, deep technical knowledge, and proven teaching ability positions him as an hands-on mentor well-equipped to guide and support learners in mastering the skills to make a successful career switch.

Sanjela Garg

As an Oracle-certified Java professional with relevant industry experience, Sanjela excels in Java-based web application development and REST API design, with deep proficiency in the Spring framework, including Spring tools and Spring Cloud. Her hands-on expertise in JUnit for testing and SQL Server for database integration also help round the learning experience, making it comprehensive by blending theory with practical skills. This equips her to teach students how to build scalable, efficient microservices, a critical skill in modern software development.

Her experience as an educator and course content creator at Skills Union highlights her talent for working with adult learners; being able to design engaging and practical curricula tailored to their needs. Sanjela has a demonstrated history of enabling adult learners to excel, guiding them from foundational Java concepts to advanced, real-world applications with clarity and precision.

https://www.linkedin.com/in/sanjela-garg-488773191/

Advanced Professional Certificate in AI Engineering