Deep Learning Essentials

‘Deep Learning’ was initially coined for neural networks that grew in breadth and depth, requiring increased computation power rather than new forms of ‘learning’. This course explains the core concepts of neural networks and deep learning. It further highlights challenges in the deep learning process, and it explores why and how neural networks contribute to larger architectures such as CNN, Generative Adversarial Network (GAN), and LLM.

This course is ideal for all who have little time but are interested in and need a solid understanding of deep learning as a fundamental technology driving many old, modern, and future AI systems and architectures. It explains deep learning and engineering jargon as well as technical details in a manner also suitable for non-IT audience. This course aims to separate fact from fiction and misunderstandings around deep learning; it puts you in a better position when you deal with any deep learning project, be it on systems, risks, or compliance concerns. As they say: AI is here to stay, so build up critical work knowledge now, for a baseline that allows you to keep up with this fast-paced technology.

This course complements our What to look out for when procuring an AI Solution - Legal and Technology Essentials course.

Course Code:	AI101
Title:	Deep Learning Essentials
Duration:	½ day (approximately 3.5 contact hours)
Mode of Training:	In-person
Available Date(s):	Please see below.
Venue:	Drew & Napier LLC, 10 Collyer Quay, 10th Floor, Ocean Financial Centre, Singapore 049315
Course Fee:	S$300.00 (excluding GST)