RISE for Financial Services - Artificial Intelligence (Module 2: Advanced Artificial Intelligence in Financial Services (Synchronous e-learning))
About This Course
LO1: Apply common pattern recognition methods and assess their performance
LO2: Design and train deep neural network for vision recognition problems
LO3: Design and train deep neural networks for other problems
LO4: Understand and describe data governance guidelines, and manage data within an organization according to key principles
What You'll Learn
The content is contextualised to the Financial Services sector.
Upon completion of this unit, learners will be able to analyse data by deriving useful hidden patterns in the data, and follow regulations and guidelines in handling the data. They will be able to select and apply the most suitable pattern recognition techniques to solve problems and develop pattern recognition systems. Learners will also be able to implement guidelines, laws, statutes and regulations on appropriate handling of data at various stages in their lifecycle, and monitor compliance with data policies.
Entry Requirements
Mid-career individuals who are passionate about pursuing a technology career in the Financial Services sector and who satisfy the following requirements:
• Singapore Citizen or Singapore Permanent Resident
• Minimum 21 years old
• Possess a tertiary qualification (Diploma/Degree)
• No prior work experience in the technology area of Artificial Intelligence
• If you are accepted into this program via a partner such as the Institute of Banking and Finance, you will also be required to meet any additional requirements that the partner may put in place (including passing a technical screening)