Become
an AI Engineer.
Build Real-World AI Solutions.
Join AI Singapore’s AI Apprenticeship Programme® (AIAP)
with over 90% of graduates placed in AI roles within 6 months.
Receive a monthly stipend of SGD 4,000 while you deep-skill in AI
and build production-ready AI solutions.
Become
an AI Engineer.
Build Real-World AI Solutions.
Join AI Singapore’s 6 or 9 month AI Apprenticeship Programme® (AIAP) with over 90% of graduates placed in AI roles within 6 months.
Receive a monthly stipend of SGD 4,000 while you deep-skill in AI
and build production-ready AI solutions.
NEW
Fresh grad? There’s a 3-week bootcamp route in AIAP→
Build What Matters
as an AI Practitioner
Becoming a successful AI Practitioner isn’t just about understanding theory — it’s about delivering AI solutions that solve real-world challenges.
Through AIAP, you’ll make that shift from learner to builder.
Gain hands-on experience writing production-grade code, optimising cloud infrastructure, and solving the complex challenges that keep intelligent systems secure, scalable, and reliable.
This isn’t abstract learning. It’s practical, high-impact work — the kind that top companies are hiring for. With strong career prospects and competitive compensation, your path into AI has never been more accessible.
Your AI Engineering journey starts here, on the AIAP track that fits you.
One Application. Three Tracks. More Possibilities.
Every track trains you to master AI engineering that works with any model, any stack, in any industry. Apply once and indicate your preferred track. We will assess your suitability.
AI Engineer
Build and Deploy AI Applications
Build the whole system, from data and models to deployment, on a real industry project.
SUITED FOR
Aspiring engineers who want to master end-to-end AI engineering from building to deployment.
CURRICULUM
The core AIAP curriculum: deep-skilling, then a real-world industry project.
NEWForward Deployed
Engineer (FDE)
Scope, Build and Deploy AI Applications
Accountable to the client’s business outcomes. On top of building and deploying AI, FDEs are trained to scope the AI problem directly with the client.
SUITED FOR
Aspiring engineers who want to go beyond building and deploying AI, and into project scoping with clients.
CURRICULUM
The AI Engineer track curriculum + training to scope AI problems with clients from the start.
NEWSovereign AI Engineer
Adapt, Host and Deploy AI Models
Takes an organisation from API dependency to owned weights, by training, adapting and deploying AI models.
SUITED FOR
Aspiring engineers who want to enable their organisations to run their own models and infrastructure.
CURRICULUM
A separate curriculum across the full stack, from hardware and software through to LLM operations.
What to Expect on Your AIAP Journey
AIAP runs in two phases, taking you from deep-skilling
in key AI domains to real-world project deployment.
Phase 1:
Deep-Skilling (3 Months)
Structured training tailored to your track.
AI Engineer and FDE*: end-to-end AI Engineering — from classical ML models to Large Language Models, MLOps, Computer Vision, and AI Governance.
*Month 2: apprentices selected for the FDE track receive their offer. In the final month of deep-skilling, FDE track apprentices deep-skill as FDEs on top of the existing curriculum.
Sovereign AI Engineer: the full stack, from hardware and software through to LLM operations.
Phase 2:
Project Phase (3 or 6 Months)
Work in teams on real-world AI projects from the industry, alongside full-time, experienced AI Engineers, MLOps Engineers, Project Managers, and Principal Investigators.
Endorsed by Industry
AIAP is an award-winning national initiative designed to develop
Singapore’s next generation of AI Engineers.
Today, AIAP graduates are building impactful AI careers across Singapore’s industries.
From MLOps and DataOps Engineers to Data Scientists,
they’re contributing to leading organisations nationwide.
Join a programme trusted by industry leaders.
Supported by Nation
From Diverse Backgrounds
to AI Success
Hear from our AIAP graduates.
“My AIAP first batch experience pre-LLMs, studying “Attention Is All You Need” with peers and Dr William Tjhi, built the foundation for my journey to leading production AI systems today.”
Ren Jie
Batch 1
AI/ML Delivery Consultant
@ AWS“AIAP gave me strong technical foundations, collaborative learning with peers and invaluable leadership opportunities—skills that continue to shape my journey as a Principal Data Scientist today.”
Daniel
Batch 2
Principal Data Scientist
@ HP“I’m really grateful to AIAP for helping me understand what the industry requirements were, and helping me reach those standards! Wonderful time with lots of great memories.”
Nicholas
Batch 4
Data Scientist
@ Tiktok“AIAP bridged the gap between theory and industry application. The hands-on projects and rigorous curriculum gave me a distinct competitive advantage, enabling me to deliver high-impact AI solutions.”
Huang JieBatch 5
Associate Director
@ SCB“From maritime to AI in a pivotal mid-career transition, AIAP accelerated my journey to Senior AI Engineer, building deep knowledge and confidence through real-world problem solving, end-to-end pipelines, and a collaborative, continuous learning culture.”
Dylan
Batch 6
Senior AI Engineer
@ Heineken“Diving into a rigorous real-world project during AIAP transformed my theoretical knowledge into battle-tested expertise, granting me the professional confidence and technical agility to thrive as a versatile AI practitioner today.”
Jannah
Batch 8
Head, AI Engineering Hub
@ AISG“AIAP gave me real-world AI experience, strategic thinking, and strong mentorship. It now helps me build impactful collaborations, drive AI innovation and create business opportunities with confidence and credibility.”
James
Batch 10
Head, Strategic P’ships
@ AISG“AIAP gave me a safe space to explore AI and ML, discover how it intersects with my background, and build the network that helped me land my next role.”
Yuxin
Batch 14
AI & Data Delivery
@ Temus“AIAP provided full-lifecycle AI research experience, building skills in application containerisation and production-grade engineering. At HTX, I now leverage these technical and collaborative competencies to deploy Speech-to-Text models.”
Rosamund
Batch 15
Deployment Engineer
@ HTX“AIAP enabled me to learn from industry leaders and tackle real-world challenges in an environment that nurtured critical thinking and innovation. I bring that mindset to every problem I solve today.”
Sze Xian
Batch 16
AI Engineer
@ AISG“Traditional paths of getting into an AI career are becoming more obscure and less secure. However, AIAP gave me a chance to be supported and successful while transitioning into AI through structured guidance, a rigorous programme and real-world experience.”
Alice
Batch 19
AI Platforms Engineer
@ AISG
Your Path into
AI Engineering Starts Here
– For Those Who Qualify
AIAP is built for those who are serious about breaking into AI Engineering; whether you’re a fresh graduate finding your footing, or a mid-career professional ready to pivot to AI.
It doesn’t matter if you come from a technical or non-technical background — AIAP is designed to equip you with everything you need to transition into industry-ready AI roles.
This apprenticeship programme is open exclusively to:
Singapore Citizens
Holders of a NITEC, Diploma, or Degree from a recognised Institute of Higher Learning
Those eligible for TeSA CLT Funding
What It Takes to Get In
Here’s everything you need to know about applying for AIAP.
These requirements apply to all three tracks.
Knowledge & Proficiency Requirements*
Programming
Writes clean, maintainable code following industry software engineering practices.
Machine Learning
Experience with EDA and building an end-to-end machine learning pipeline.
MLOps & Deployment
Proficient in Git/GitHub, Docker, Linux shell scripting, and at least one major cloud platform (AWS, Azure, or GCP).
Data Technologies
Familiar with databases (SQL/NoSQL) and data processing tools like Apache Spark or Hadoop.
Documentation
Able to produce basic code documentation such as README files and docstrings.
*Want to prepare for the technical requirements for AIAP?
Consider the AIAP Foundation course to build readiness for your application.
Time Commitment
AIAP is a full-time programme. You will be expected to:
Deep-skill and work on
real-world AI projects in-person at the NTU campus.
Commit to the full duration of 6 or 9 months, depending on your assigned track.
Selection Process
All applicants must complete the two-stage AIAP Proficiency Test to assess technical readiness.
Apply
One application form. Indicate your preferred track(s).
→
Stage 1
Technical Assessment
One take-home assessment for every applicant, testing your end-to-end AI engineering skills with software engineering rigour. It includes elements drawn from all three tracks.
→
Stage 2
Interview
An in-person technical interview and a collaborative group case study.
→
Offer: Your Track Placement
Based on your assessment, interview, and track preference
AI Engineer
Sovereign AI Engineer
→
Month 2
Forward Deployed Engineer (FDE)
Selected from the AI Engineer track, after Month 2
Fresh Graduate AI Bootcamp (FAB)
Just graduated? FAB is a new route into AIAP.
Instead of going through the typical two-stage AIAP proficiency test, you join a 3-week bootcamp. Meet the mark in the capstone project and you’ll be offered a place in AIAP Batch 25, starting 25 January 2027.
26 OCT – 29 NOV 2026
Apply
Apply through the AIAP Batch 26 application form and indicate that you’d like to join FAB. It’s free to join. FAB’s eligibility criteria apply.
→
2 – 23 DEC 2026
Bootcamp & Capstone
Three weeks of applied AI fundamentals, software engineering, AI coding assistants, and LLM application building. The final week is a real-world capstone project.
→
STARTS 25 JAN 2027
Join AIAP Batch 25
Attendees who meet the mark in the capstone receive an offer to join AIAP Batch 25.
What You’ll Learn
A blend of asynchronous learning and physical mentorship.
MODULE 1
Applied AI Fundamentals
Prepare data, then train and evaluate machine learning models.
MODULE 2
Software Engineering
Write clean, tested Python and ship it with Git and Docker.
MODULE 3
AI Coding Assistants
Get reliable, high-quality work from any AI coding assistant.
MODULE 4
LLM Application Building
Build and evaluate LLM applications, including RAG.
The curriculum is subject to change.
FAB Eligibility Criteria
• FAB is only open to Singaporean *fresh graduates.
*Fresh graduates who graduated in 2025/2026 and have not yet started their first full-time employment.
Before you choose FAB
• Only apply for FAB if you are able to participate in the entire duration of the bootcamp from 2 – 23 December 2026.
• Only apply for FAB if you can start AIAP on 25 January 2027.
• FAB is a route into AIAP, but it does not guarantee you a spot in AIAP.
AIAP Webinars
Join this info-sharing webinar to learn about the tracks, curriculum, application process and apprentice experience — with a live Q&A to help you decide if AIAP is right for you.
Session 1
4 November 2026
5pm
Session 2
19 November 2026
11am
Setting You Up for Success
Hear from our assessors, mentors, apprentices, and our graduate
to help you prepare for your application.
Key Dates for Your AIAP Journey
One application window, two ways in.
AIAP Batch 26
Application period
26 Oct – 29 Nov 2026
Technical assessment
2 – 7 Dec 2026
Invitation to interview
11 Jan 2027
In-person interview
23 Jan 2027
Offer
15 Feb 2027
Programme period (6-month)
3 May 2027 – 12 Nov 2027
Programme period (9-month)
3 May 2027 – 4 Feb 2028
AIAP Batch 25
Applicable to Fresh Graduate AI Bootcamp (FAB) Candidates Only
Application period
26 Oct – 29 Nov 2026
Bootcamp
2 – 23 Dec 2026
Offer
By 8 Jan 2027
Programme period (6-month)
25 Jan 2027 – 6 Aug 2027
Programme period (9-month)
25 Jan 2027 – 29 Oct 2027