Courses and modules

A comprehensive introduction to the fundamentals of Natural Language Processing (NLP) and Generative Artificial Intelligence, focusing on large language models and their latest advancements. Participants will learn how these Artificial Intelligence (AI) technologies process and generate human language, and explore their practical applications in solving real-world challenges.

This course covers the basis of symmetric key and public key cryptography and cryptographic hash functions.

This module, which is part of the “Professional Certificate in Innovative Supply Chain Transformation and Digital Intelligence”, introduces participants to the cutting-edge elements of next-generation supply chains and smart logistics. Covering the evolution, current trends, and the future direction of supply chains, it provides a solid foundation in understanding how digital technologies and innovative practices are transforming the logistics landscape. A significant focus is placed on real-world applications and the benefits these advancements bring to efficiency, sustainability, and competitive advantage.

Search Engines are where people head to when looking for what to eat, what to do, where to go, what to buy, and more. Businesses vie for the attention of the audience and to appear where and when these audiences expect. A well-executed paid ad strategy is an effective way to reach targeted audiences and is critical to modern integrated marketing strategies. However, managing budgets while ensuring reach and conversion to the right audiences is key to a successful campaign.

How can we leverage on the digital age to build better workforces, better work-life and better organisations? How you can deep dive into people data with powerful people analytics to build energised and sustainable ecosystems?

This course serves as an introduction to deep learning and introduces the PyTorch framework to students, which is the most used Python framework for prototyping Neural Networks and Deep Learning models. During this course, the students will study the implementation of a shallow neural network, and discuss typical issues and good practices related to training such models.

This course provides an overview of the data science lifecycle. It emphasises the importance of formulating clear business questions, understanding stakeholders, acquiring and preparing data, and conducting simple data analysis.

This course provides an understanding of design and visualisation principles. It emphasises the five steps to effective data storytelling: audience profiling, designing your story, prepping your data, choosing the right visuals, and making important insights stand out.

This course provides an overview of data management, essential for successful data analysis. It emphasises the types and components of IT (Information Technology) infrastructure, applications of RDBMS (Relational Database Management System) and the phases of database designing.

Computational thinking is a necessary skill for 21^st century work force. One way to sharpen this computational thinking is by learning how to program.