Disruptive Forces Series - Artificial Intelligence (AI) in Finance (Online Course) (Asynchronous e-learning)
Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2020504204
S$270
Original: S$900
Save S$630
About This Course
AI in Finance aims to provide finance professionals with an in-depth perspective on artificial intelligence technologies, their impacts on traditional finance, and the strategy and infrastructure needed to implement them. It will cover topics such as trading, asset management, compliance, insurance, and customer service, while drawing upon polytechnic’s rich history as a national leader in industry innovation to provide students with an outstanding educational experience.
What You'll Learn
The course is structured around [19] modules consisting of video lectures, interviews with guest speakers, supplementary readings, and quizzes which guide students through the various applications of AI in finance. Its online format will allow for independent, self-paced learning, where course content delivered by a diverse group of artificial intelligence experts can be accessed at any time.
Chapter #1 An Industry Overview of AI
Module 1: Introduction to Artificial Intelligence
Module 2: Use cases of AI outside of Finance
Module 3: Use cases of AI in Finance
Module 4: Industry drivers of AI in Finance
Module 5: AI trends and future developments
Chapter #2 AI Technologies
Module 6: AI, Machine Learning and Deep Learning
Module 7: Natural Language Processing
Module 8: Computer Vision and Machine Recognition
Module 9: Recommendation Engine
Chapter #3 Implementing AI in an Enterprise
Module 10: Integration AI at a Strategic Level
Module 11: Infrastructure for AI
Module 12: The Role of People
Module 13: Ethics in AI
Chapter #4 Applications of AI in Finance
Module 14: Wealth and Asset Management
Module 15: Insurance
Module 16: Customer Service
Module 17: Robotic Process Automation
Module 18: Credit Scoring
Module 19: Compliance and Fraud Detection
Chapter #1 An Industry Overview of AI
Module 1: Introduction to Artificial Intelligence
Module 2: Use cases of AI outside of Finance
Module 3: Use cases of AI in Finance
Module 4: Industry drivers of AI in Finance
Module 5: AI trends and future developments
Chapter #2 AI Technologies
Module 6: AI, Machine Learning and Deep Learning
Module 7: Natural Language Processing
Module 8: Computer Vision and Machine Recognition
Module 9: Recommendation Engine
Chapter #3 Implementing AI in an Enterprise
Module 10: Integration AI at a Strategic Level
Module 11: Infrastructure for AI
Module 12: The Role of People
Module 13: Ethics in AI
Chapter #4 Applications of AI in Finance
Module 14: Wealth and Asset Management
Module 15: Insurance
Module 16: Customer Service
Module 17: Robotic Process Automation
Module 18: Credit Scoring
Module 19: Compliance and Fraud Detection
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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