Chartered AI Engineer (CAIE)

The world’s first professional AI certification

Chartered AI Engineer

A Chartered AI Engineer is an individual who has been assessed to have the technical competencies to build deployable AI solutions and put them into production.

Associate and Level 1 Chartered AI Engineers (CAIEs) are able to use their capabilities to build AI models/solutions or applications to address business problems.  Those certified at Levels 2 and above have also demonstrated their ability to lead a team of AI engineers to design, develop and deploy multiple AI projects which unlock and deliver business value.

As the demand for skilled AI engineers grows, CAIEs are well positioned to provide the necessary technical and professional knowledge, skills and competencies to manage AI projects successfully from start to end.

Professional Qualification Levels

Associate
AI Engineer

Students or working professionals who have the necessary skills & knowledge to start working on an AI Project. They are not required to display the relevance of their technical skills to business. Rather they are deemed to be proficient in the required technical skills to start working for a business organization that has some data capabilities.

Chartered AI Engineer
Level 1

Working professionals who have the necessary technical skills to develop AI solutions.  They are able to draw relationship between an AI project and its relevance to business, and design the solution to meet the deliverables.




Chartered AI Engineer
Level 2


Working professionals who are team leads for AI engineers.  They are able to manage projects as well as business stakeholders, both internal and external. They can architect the necessary AI modules to ensure successful deployment of machine learning models.


How to apply?

Learn about our application process.

Qualification Category

QualificationProfileRequired Competencies Area
AI Associate EngineerStudents or working professionals who have the necessary skills & knowledge to start working on an AI Project. They are not required to display the relevance of their technical skills to business. Rather they are deemed to be proficient in the required technical skills to start working for a business organization that has some data capabilities.

● Programming Proficiency

● Exploratory data analysis

● Data Preparation

● Model Design and Development

● ML Pipeline Setup

Chartered AI Engineer Level 1Working professionals who have the necessary technical skills to develop AI solutions.  They are able to draw relationship between an AI project and its relevance to business, and design the solution to meet the deliverables

● Project Management

● Exploratory data analysis

● Data Preparation

● Model Design and Development

● Deployment

● AI Governance

● Business Communication

Chartered AI Engineer Level 2Working professionals who are team leads for AI engineers.  They are able to manage projects as well as business stakeholders, both internal and external. They can see how the projects fit into the department’s business process and needs and are able to set up the appropriate process to monitor the effectiveness of the AI models that are implemented. They can architect the necessary AI modules to ensure successful deployment of machine learning models.

● Project Management

● Solution Design and Development

● AI Governance

● Team Leadership

● Business Communication

Partnering Organisations