Certificate course in Artificial Intelligence (AI) and Deep Learning

Introduction

The course will cover the theory and process of deep learning and its applications in various industries. Participants will experience the exciting development process of using various AI models/platforms/tools and API to build your own AI applications. The most exciting p[art is to learn from more than 20 hands-on lab practices like Image classification, Lyric generation, Time-series prediction, Video object detection and so on.

Target Audience:

The course is designed for those who want to acquire the knowledge of deep learning and build their own AI applications using AI platforms and API.

Prerequisites:

To get the most out of the course, participants are expected to have some basic knowledge in Android app or Java programming.

Course Contents

1. Deep learning fundamentals in AI
2. How deep learning works
3. Cover popular models like CNN, RNN, LSTM, GAN and transfer learning
4. Development tools: Scikit-learn,Tensorflow and Keras
5. Different AI platforms and their APIs
6. Mobile AI applications (online) and Tensorflow Lite (offline)

Speaker Profile

Dr. Alex Ng got his PhD from the City University of Hong Kong. He has been working as the key project consultant in a HSBC funded project to develop various robotic applications to aid the learning of SEN students in the school environment since 2016.  Dr. Ng has great passion in applying the knowledge and skills of AI and deep learning to application level.