Participants will go through mathematics and Python to prepare themselves for the skills in the implementation of advanced AI applications. Participants will experience the exciting development process of applying various AI models/platforms/tools and API to build their own AI applications. In the carefully planned lab exercises, participants can follow the step-by-step instructions to build and train the AI models. The most exciting part is to learn from various hands-on lab practices including GAN, transfer learning, reinforcement learning, etc.
Target Audience:
IT practitioner
Prerequisites:
To get the most out of the course, participants are expected to have completed the course Certificate in AI and Deep Learning Workshop I, or equivalent. Having completed the course Certificate in Machine Learning and Python Workshop for Data Analytics will be helpful in the better understanding of programming APIs.
Course Contents
Get Prepared
Mathematics: Linear algebra, probability, optimisation
Python programming language
Advanced AI Frameworks
Implementing Advanced Business Applications in AI
Fabricating AI Applications to cloud server
Online access to AI cloud server
Speaker Profile
Dr. Alex Ng got his PhD from the City University of Hong Kong. He has been working as the team leader in a HSBC funded project to develop various robotic applications using AI to aid the learning of SEN students in the school environment since 2016. Dr. Ng has great passion in teaching and applying the skills and knowledge of AI to application level.
