DATA PRODUCT II (AI/ML) CAPSTONE (Part of SCTP Certificate in Data Analytics with AI)
About this course
Course objectives
In this final Capstone project, learner will be immersed in a practical and integrative experience in applying the knowledge and skills learnt throughout the entire course. Building on the techniques learnt in data transformation and machine learning/artificial intelligence, learners will be tasked to solve business scenarios by analysing and deriving insights using real-world dataset. Learner will showcase in this capstone project a final data product, infusing AI models to deliver innovative, data-driven solutions to stakeholders in this end-to-end project development.
Course description
At the end of the course, learners will be able to:
Propose Problem Statement and Data Product plan to solve business challenges.
Construct Extract-Transform-Load (ETL) pipelines to process data from various sources using programming.
Apply Machine Learning techniques to extract insights from data.
Implement Data pipeline via Continuous Integration/Continuous Development (CI/CD).
Deploy Data Product with AI Models to resolve the business challenges.
This course is part of SCTP Data Analytics with AI
1) The list of topics covered in this course:
Problem Statement Framing
Data Transformation
Machine Learning/Artificial Intelligence
Data Product Design
DevOps CI/CD
(2) Instructional Methods:
Supervised Field and Practical Training
Capstone Development via Agile Methodology
(3) Duration of Course:
200 hours