Diploma in Infocomm & Digital Media (Applied Artificial Intelligence & Analytics)

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Overview

Course Date:

TBA

Registration Period:

TBA

Duration/Frequency:

900 Hours (2.5 Years)

Mode of Training:

Face-to-Face (Classroom Teaching), E-learning

Course Objective

Build future-ready skills in AI and data analytics!

AI and data analytics are rapidly transforming industries, changing how organisations operate, make decisions, and deliver value. Aligned with Singapore’s National AI Strategy 2.0, you will gain skills in the application of AI, machine learning, smart systems and data analytics in solving real-world business and technology challenges through this Diploma in Infocomm & Digital Media (Applied Artificial Intelligence & Analytics).

Develop a strong foundation and gain experience through hands-on projects in building AI solutions, managing data pipelines, and applying analytics for data-driven decision-making so you can contribute confidently to the evolving digital workforce.

What You Will Learn

Apply programming fundamentals, data structures, and algorithms to solve computational problems efficiently
Develop secure front-end and back-end web applications with proper backend validation
Use mathematical and statistical concepts for data wrangling, exploratory data analysis, and visualisation
Build and manage databases and data pipelines for data ingestion, storage, and retrieval
Apply machine learning, deep learning, Agile methodologies, and MLOps practices in AI solution development

Designed For
Aspiring AI solutions developers, data analysts, and AI & machine learning engineers seeking to advance your career in the Infocomm Technology sector, or existing IT and technology professionals driven to support innovation and digital transformation across a wide range of industries.

More Information

This is a 2.5-year part-time course consisting of 5 Modular Certificates conducted over 5 semesters.

Modular Certificate	Key Modules
MC 1 - Certificate in Computing Fundamentals	- Fundamentals of Programming (Python) - Discrete Structures - AI-Assisted UI Development
MC 2 - Certificate in Data Analytics	- Python for Data Analytics - Python for Data Science - Back-end Web Development
MC 3 - Certificate in Data Engineering & Machine Learning	- Data Engineering - AI & Machine Learning
MC 4 - Certificate in AI Algorithms & Deep Learning	- Data Structures & Algorithms - Deep Learning
MC 5 - Certificate in Visual Analytics & AI Operations	- Data Visualisation - Industry Certification Preparation - Agile MLOps

Please click here for the Module Synopsis.

Academic Progression and Pathways

After completing this Diploma, you can pursue the following certifications:

NVIDIA Fundamentals of Deep Learning
DataCamp

Overview

Course Date:

Registration Period:

Duration/Frequency:

Mode of Training:

Course Objective

More Information

Academic Progression and Pathways

For more information on the course, click on the “Register” button.

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