|To access this course, you will need to complete AI4I – Foundations in AI. Once completed, an Enroll button will appear.|
This course aims to provide a structured learning pathway for learners who have completed AI4I - Foundations in AI to acquire the skills candidates are expected to have before they apply for AI Singapore's AI Apprenticeship Programme (AIAP) or the AI Professionals Association (AIP) Chartered AI Engineer (CAIE) Associate-level technical test.
The various sections in this guide serve as your curriculum to round out your skills to become an AI Engineer. With these, you will know what competencies are required in this domain.
As for the learning materials, we have tried our best to find high quality and free resources for you. Some of the topics even have a few alternatives for you to explore. However, these are not the only ones available. We are fortunate that there are many other resources available and many others will be created in the future. You can find resources and materials that can fit your specific needs; based on your background, current knowledge, learning styles etc. All you have to do is a bit of research on the Internet.
For those who would like to view the full Field Guide as a PDF, you can download here.
Course License: CC BY-NC-SA 4.0
You will acquire the skills supporting AI work that candidates are expected to have before they apply for AI Singapore's AI Apprenticeship Programme (AIAP) or the AI Professionals Association (AIP) Chartered AI Engineer (CAIE) Associate-level technical test.
This learning path consists of 6 subject areas and the estimated learning time is approximately 110 Hours. However, some of the learners may have existing knowledge in some of these topics so they may be able to complete the course much faster.
These learning resources are available on other learning platforms such as Coursera and Udacity. You are not required to attain the certifications on those platforms before attempting the quizzes for the courses on LearnAI.
|LearnAI Course||Typical Completion Time|
|Software Development Life Cycle||22 Hours|
|Code Versioning||20 Hours|
|Computational Thinking||18 Hours|
|Object Oriented Programming and Software Testing||8 Hours|
|Data Structures and Algorithms||20 Hours|
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For technical issues, please contact us here.