Inaugural AI Certification Application has closed

The next round of applications will open in Q4 2020.

AI Certification

The AI Certification is a National Certification and Assessment Framework to recognize and award credentials to working professionals in AI-related engineering roles. It is not a training course.

The assessment framework test and validate the technical competencies and experiences of applicants and confers professional credentials to those who achieve the criterias as listed in the AI Certification Handbook. (download link)

For students who aspire to be AI/ML engineers and working professionals currently in non AI-related roles, AI Singapore have developed learning pathways such as AI For Industry™ (link) and the AIAP® Field guide (link) which will provide you the necessary skills to get certified under this framework.

AI Certification Levels

Who is this for?

AI Certified Engineer Associate

For students and adult learners who wish to validate their AI knowledge and skills

AI Certified Engineer (Level I, II, III)

For working professionals who wish to validate their AI competencies and experiences in AI-related roles

Eligibility Criteria

AI Certified Engineer (Associate)

  • Students / Fresh Graduates who are deeply interested in coding/AI/ML.
  • Working professionals who employ data analysis techniques in the course of their work.  

AI Certified Engineer Level I (AICE I)

  • Working professionals with a minimum of 1 year of working experience in AI related roles.
  • Individuals at this level are AI specialists in AI project teams in a commercial organisation.    

AI Certified Engineer Level II (AICE II)

  • Working professionals with a minimum of 3 years of working experience in AI related roles.
  • Individuals at this level are Managers or Senior Managers who are team leads for large scale AI projects in commercial organisations.                                                                     

The next round of AI Certification application will open in Q4 2020

Professional Certificates​

AI Certified Engineer Associate

Qualification and Recommended Experience Level

  • Have programming background in Python
  • Able to understand databases and run basic SQL queries
  • Have knowledge and familiarity in software engineering, AI cloud services, data engineering and data management.

Competency

  • Able to understand major AI frameworks and cloud infrastructure, and build an AI model to solve a use case

AIAP Field Guide

Reference for the requisite skills and knowledge

AI Certification Handbook

For those who prefer structured CET training, you can approach our AI Certification training partner, Reluvate Technologies (reluvate.com). AISG will continue to grow this list of accredited partners.

AI Certified Engineer Level I (AICE I)

Qualification and Recommended Experience Level

  • At least one (1) year working experience in AI-related roles
  • Deployed at least one AI project value of at least SGD 250,000 or equivalent and/or built an AI product that is being used by a commercial customer

Competency

  • Able to replicate a published AI research work and deploy real-world AI applications

Technical Report Template (Level I)

AI Certification Handbook

AI Certified Engineer Level II (AICE II)

Qualification and Recommended Experience Level

  • Minimum Three (3) years working experience in AI-related roles
  • Deployed at least one AI project value of at least SGD 500,000 or equivalent

Competency

  • Able to replicate a published AI research work and deploy production AI at scale
  • Able to manage/lead a small AI engineering team

Technical Report template (Level II)

AI Certification Handbook

AI Certified Engineer Level III (AICE III)

Qualification and Recommended Experience Level

  • Six (6) or more years working experience in AI-related roles and is widely regarded by the AI community as being an authority or key opinion leader

Competency

  • Able to architect and manage multiple complex AI applications, and is widely regarded by the AI community as being an authority or key opinion leader
  • Able to manage multiple AI engineering teams

Management Skills

  • Able to manage multiple AI engineering teams

AI Certification Handbook

Application

Application for AI Certification will open on 9 April 2020, 9.00am. Please check back later.

View our AI Certification Handbook

Find out more


Application Timeline for the Inaugural Batch

Frequently Asked Questions

About

What is the AI Certification Programme about?

This is a professional certification which confers  credentials those who pass the assessment criterias, based on the competency framework as listed in the AI Certification Handbook.   This is neither an academic examination nor a course.    Assessment is done by current certified engineers and recognized AI practitioners from the industry.

Is AI Certification a course?

No.  AI Certification is not a course.

How long is the certificate valid for?

Please refer to the respective certification levels for more information. You may also refer to AI Certification Handbook for more details.

Is there a quota or restriction on the number of certified AI engineers?

We assess each applicant’s competencies before awarding the AI Certification and not at the number of AI Certified Engineers – there is thus no quota or limit to the numbers of applicants that are certified.

How recognized are the certifications from AISG by MNC employers? I'm trying to understand the value proposition and positioning of AISG certifications, compared to training offerings by DeepLearning.ai, FastAI, Coursera, Stanford Online, and so on.

AI Certification is not an academic course and does not test on academic abilities. It validate whether the successful applicants has attained the basic levels of competencies as outlined in the AI Certification handbook.   The competencies are mapped from the real-world AI talents needs of companies who are on our 100E programmes, which includes MNCs, LLEs, SMEs and start-ups.

For detailed understanding of the competencies and real-world experiences of such a certified individual, you can refer to the AI Certification Handbook.

Eligiblity

Can I apply for the certification if I am a non-Singaporean?

Yes.

Am I eligible for the AI Certified Engineer Associate certification if I am a fresh graduate?

Yes, the AI Certified Engineer (Assoc) test is open to anyone with the requisite knowledge.

I am interested, but I do not employ AI techniques at my workplace. Most of the knowledge is self-learned. Can I still apply for certification?

Yes, for working adults who have embarked on self-directed learning (no working experience in AI), they may apply for the AI Certified Engineer Associate level. For more information, please refer to the Certification Handbook.

Application Fee

Do I have to pay for taking the AI Certification?​

Yes, please refer to each respective certification level for its certification fee. You may refer to AI Certification Handbook for more details.

If I am a non-Singaporean studying in public schools, can the application fee be waived if I am keen to take the AI Certified Engineer Associate certification?

No. Application fee is only waived for local Full-time Polytechnic and Undergraduate Singaporean & PR students. Terms and conditions apply.

Can I get a refund if I withdraw (after submitting an application)?

No refunds will be made.  The application fees cover programme management and logistical costs that is already incurred.

Can I get a refund if I didn't pass the interview?​

No refunds will be made.  The application fees cover programme management and logistical costs that is already incurred.

Can I get a refund if I didn't get the Certificate?

No refunds will be made.  The application fees cover programme management and logistical costs that is already incurred.

Can I make use of my SkillsFuture credits to apply?

No, AI Certification is not a course.

Any plans to get this on CITREP claims? What are the promotion/marketing plans for the certificate with employers?

No.   AI Certification is not a course.   

AI Singapore works with companies continuously on our core programmes, which include  AI Certification.

Application Process

Can I be exempted from 'AI for Industry'?​

‘AI for Industry’ is not a pre-requisite for applying to the AI Certification.

When will I be notified of the certification attainment result?​​

Please refer to the timeline indicated for each application run, see above. 

Can I defer my Technical Test to a later date?

No.

Can I apply for extension of time for the Technical Test submission?

No.

Application submissions

How do I submit my Technical Test if I am applying for AI Certified Engineer Associate?

The submission instructions will be included in the technical test that will be sent to shortlisted candidates. Do take note that the maximum file size is 5MB.

What is the expected fluency for each level's certification before we are able to create pipeline (eg. for AI for Certified Engineer in X hours)? What platforms and libraries will be used for the assessment, Azure, Python, pandas, matplot, flask, SAS, pickle?

For AI Certified Associate Engineer, the assessment will be in the form of a technical test, and the language will be Python. The assessment will focus more on the quality, integrity and cleanliness of the code/pipeline and the overall solution, as opposed to things like coding speed.

For AI Certified Engineer Level I and II, the assessment will be in the form of a written report. There is no restriction on the choice of platforms and libraries used to develop and deploy the AI solution, as long as the candidate is able to demonstrate that it has met end users’ requirements successfully.

If the AI project was done within the company/team, wouldn't there be confidentiality issues?

We advise candidates to seek permission from their company on any confidential information that you wish to include as part of your technical report. Otherwise, you may anonymise certain portions/data which are confidential.

So if I do not get the permission from company, can open source project done by us be considered?

Certifications are awarded based on an applicant’s ability to design, develop and deployment AI products for a commercial company. We accept reports on deployed industry products as long as they fulfil the requirements for size, value and complexity according to each certification level.

Can I attempt the AICE (Assoc) Technical Test using other languages than Python and SQL?

Please follow all of the submission instructions in the technical test.  Submission not adhering to the instructions will be considered invalid, and will not be given to the assessment panel.

How do you determine the market value of an AI project if it is done in-house (e.g. in a government agency)?

We will assess the relevant project costs ie. manpower costs, compute costs as well as any other costs related to the design, development and/or deployment of the AI product. These information should be included in the submitted technical report.

Do you have sample questions of assessment (eg. mCQ or pure coding)?

No, we currently do not publish sample questions for Technical Test or Technical report. However, we do have some guiding questions in the Technical Report template.

Re-certification

How do I renew my AI Certification?

Upon reaching expiry, you may apply for recertification on this page. Please refer to AI Certification Handbook for more details.

I am currently an AI Certified Engineer II and I have left my AI field, will I still be able to re-certify?

Only those who are still active in AI or a related field would be able to re-certify.

What’s the rationale for the certificate expiring in just a few years?

Certified engineers are expected to engage in continuous professional development in the field of AI, and recertification allows them to demonstrate their currency in their knowledge, skills and experience.

I am currently an AI Certified Engineer II and I have left my AI field, will I still be able to re-certify?

Only those who are still active in AI or a related field would be able to re-certify.

What kind of courses can be considered into the verified learning hours?

Verifiable learning hours, or hours spent on self-directed learning, can be accumulated by attendance at enrolled courses with learning providers, online courses, reading books/publications/research papers, as well as attending conferences.

What documents do I need to show for the number of verifiable learning hours?

For enrolled courses:

  • Indicate the course title
  • Upload the certification of completion
  • Indicate your estimated learning time in the application form

For online courses:

  • Indicate the course title
  • Upload the statement of completion/attainment
  • Indicate your estimated learning time in the application form

For books, publications and research papers:

  • Indicate the title of book/publication/research paper
  • Indicate the date you completed your self-directed learning
  • Enter the number of hours you took in the application form

For attendance at conferences:

  • Indicate the name of the conference
  • The dates attended
  • The total number of hours you spent at the conference

Others

How do I apply for AI Certified Engineer Level III (AICE III)?

Level III is a conferred status and is not available for application. The award process is conducted once a year, through nominations by recognized leaders in the AI field, as well as organizational partners of AI Singapore. We will provide more details in Q4 of 2020.

Can I nominate someone for AI Certified Engineer Level III?

You may send your nominations to ai-cert@aisingapore.org.

I would like to apply to be certified at AI Certification Level III, as I am quite senior in my AI role. How can I do so?

Please refer to the competency framework for AI Certified Engineer Level III and if you achieve all the criterias, please email to ai-cert@aisingapore.org

When is the next call for AI Certification application?

This would be in Q4 2020. AISG expects to conduct 2 calls for applications per year. 

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This research is supported by the National Research Foundation, Singapore under its AI Singapore Programme (AISG-RP-2019-050). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore.

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