Overview
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.
Click here to learn more.
Course Description & Learning Outcomes
AI and Software Engineering Fundamentals
Build strong foundations in coding, Git, agile workflows, databases, and core AI concepts to prepare for AI-driven engineering.
Frontend Web Development
Develop responsive, interactive interfaces using modern frameworks, integrating AI features such as streaming outputs, prompts, and transparent AI interactions.
Backend Development: Server-side Programming
Implement secure, scalable backend systems with APIs, databases, microservices, and AI integrations, emphasizing reliability, observability, and structured engineering practices.
DevSecOps: Automating Integration and Deployment
Automate deployment with CI/CD pipelines, containerization, and DevSecOps practices, integrating security and microservices for scalable, trustworthy AI applications.
GenAI Deployment and Capstone
Leverage LLM APIs, RAG systems, and agentic workflows, culminating in a capstone project that delivers a production‑ready AI solution.
Recommended Prerequisites
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.
Pre-course instructions
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.
Schedule
End Date: 21 Nov 2026, Saturday
Please refer to NTU PACE website for programme schedule. Venue: Virtual (Online), NTU e-Learning Platform & NTU@one-north Registration Closing Date: 23 May 2026
Location: NTU@one-north, 11 Slim Barracks Rise, Singapore, 138664 and OnlinePricing
Course fees: $31,174 (With GST)
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Backend Development (Proficiency level: Beginner)
- Frontend Development (Proficiency level: Beginner)
- Software Engineering (Proficiency level: Beginner)
- Software Application Design (Proficiency level: Beginner)
- Agile Methodologies (Proficiency level: Beginner)
- API Development (Proficiency level: Beginner)
- Git (Proficiency level: Beginner)
- DevOps (Proficiency level: Beginner)
Speakers
Trainer's Profile:
Assistant Professor Leonard Ng Wei Tat , Programme Director, NTU Academy for Professional and Continuing Education (NTU PACE)
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/
Trainer's Profile:
Daniel Goh , Trainer, NTU Academy for Professional and Continuing Education (NTU PACE)
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. 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.
Trainer's Profile:
Sanjela Garg, Trainer, NTU Academy for Professional and Continuing Education (NTU PACE)
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.
Trainer's Profile:
Sriram Iyer, Trainer, NTU Academy for Professional and Continuing Education (NTU PACE)
Sriram is an engineer‑turned product leader with over 22 years of experience driving innovation across technology and product management. As Head of Product at Grab, they have led transformative initiatives including Grab For Business, now a half‑billion‑dollar enterprise solution; GrabMaps, Southeast Asia’s in‑house mapping platform; and AI for Builders, a program accelerating product development with cutting‑edge AI. With a career spanning Yahoo, HPE, eHealth, and nearly a decade at Grab, Sriram has scaled teams across the US, China, India, Singapore, and Romania, managing organizations of up to 150 people. His expertise lies in building execution systems, driving organizational change, and harnessing technology shifts to deliver real‑world impact. Sriram brings this wealth of experience into the classroom, delivering applied, industry‑relevant content through case‑led lectures, interactive workshops, and project‑based learning. https://www.linkedin.com/in/navpoint0/
