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 AI1) 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 One-year Udemy subscription offering access to curated course titles, enabling self-directed learning to complement formal training. Learners can explore and develop skills at their own pace through this comprehensive online learning platform.(3) Duration of Course:200 hours