Kickstart Your AI Career With
AI APPRENTICESHIP PROGRAMME®
In alignment with Singapore’s National AI Strategy and its objective to deepen the nation’s AI capabilities, AI Singapore (AISG) established the award-winning and globally recognised AI Apprenticeship Programme® (AIAP®)since 2018.
This pioneering initiative continues to play a vital role in developing a robust pipeline of local AI talent by offering intensive, hands-on project experience. Through this practical and immersive training, AIAP equips aspiring AI engineers with the skills and confidence needed to tackle real-world challenges and contribute meaningfully to Singapore’s AI ecosystem.
One Standard of AI Engineering Excellence
Building on the proven success of our flagship 9-month AIAP, AISG is proud to introduce a new, intensive 6-month track (AIAP for Industry) designed to grow Singapore’s AI talent pipeline and better support industry adoption of AI.
Both tracks will maintain the same rigorous standards of training and mentorship, while enabling individuals to accelerate their AI engineering journey.
Prerequisites
Who Can Apply
- Singapore Citizens only
- NITEC, Diploma or Degree holders from a recognised Institute of Higher Learning (IHL)
- Eligible for TeSA CLT Funding
Knowledge and Proficiency Requirements
- Programming: Experience in a language like Python
- Machine Learning: Experience with data pre-processing, building ML models, and creating data pipelines
- 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/Hadoop)
- Documentation: Able to produce basic code documentation (e.g., README, docstrings)
Selection Process
All applicants are required to complete the AIAP Proficiency Test, which assesses their technical skills and readiness for the programme.
Based on a holistic evaluation of the test results and candidate profiles, successful applicants will be matched to either the 6-month or 9-month track — ensuring the best fit for their current skill level and learning potential.
Stage 1: Technical Assessment
6-day take-home technical assessment assessing EDA, ML, Python and software engineering proficiency based on a practical AI problem statement
Stage 2: Interview
Assessment involves a technical interview and a collaborative group case study
Practice your skills: Attempt our past Technical Assessment here.
Going beyond Jupyter notebooks to deploy real-world AI systems
AIAP seeks to develop Singaporean AI talents and enhance career opportunities in AI-related roles.
Apprentices will get to work on real-world projects and deepen their skills in AI and machine learning (ML), and software engineering as they learn to deploy AI models into production.
9 am – 6 pm
Project Phase
Structured Apprenticeship Journey Consisting of 2 Phases
Acquire in-depth AI, software engineering and MLOps skills
On-the-job training, working on real-world AI projects
Phase 1: Deep-Skilling Phase (3 Months)
Project-based Learning to Master end-to-end Machine Learning pipelines, software engineering, and model deployment to build practical, industry-relevant AI projects across core domains.
Classical Models
MLOps
ISO, Ethics & Governance
Deep Neural Network
Computer Vision
Time-series
Natural Language Processing
Large Language Modeling
Phase 2: Project Phase (3 or 6 Months)
Collaborate in teams of apprentices, led by a full-time engineer and supported by Project Managers and the MLOps team, to design, develop, and deliver practical, business-relevant AI projects for real-world industry.
Applications for both the 9-month and 6-month AIAP tracks are now open
Whether you’re looking to dive deep or fast-track your journey, now is the time to take the next step toward becoming an AI Engineer and contributing to Singapore’s growing AI ecosystem.
👉 Apply now and join a community shaping the future of AI.
Companies which Have hired our Apprentices
Our programme boasts a graduate placement rate of over 90%, with alumni securing key roles such as AI Engineer, MLOps Engineer, and Data Scientist.
