DATA PRODUCT FOR AI (Part of SCTP Certificate in Data Analytics with AI) (Classroom Facilitated Learning)
About This Course
In an AI-driven world, creating effective data products is essential for unlocking valuable insights and driving industry innovation. Through this unit, learner will be introduced to the lifecycle of data pipeline and products in accordance with best practices in data quality and governance. Learners will be equipped with skills in developing data product tailored for AI application through Continuous Integration/Continuous Deployment (CI/CD) pipelines.
What You'll Learn
> Explain the lifecycle of data pipeline and products in accordance with best practices in data quality and governance.
> Describe DevOp Principles and Practices for agile product development.
> Develop Data Products tailored for AI applications to support organisational and industry need using Continuous Integration/Continuous Deployment pipeline.
This course is part of SCTP Data Analytics with AI
(1) The list of topics covered in this course:
> Data Pipeline
> DevOps CI/CD
> Data Product
(2) Instructional Methods:
Instructor-led Classroom Learning
(3) Duration of Course:
16 hours
Entry Requirements
Applicants for the course should possess a diploma/degree from a local polytechnic/university or is a ITE graduate with minimum of 2 years working experience, preferably in a related field. Holders of other equivalent academic qualification from foreign institutions will be considered on a case-by-case basis.
Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or a proficiency test.