Data, AI & ML

  • Level: Beginner
  • Duration: 5 hours  
  • Access: 1 Year
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This course is designed for financial professionals that wish to understand the development, uses, and limitations of AI technology. It is suitable for both new hires and experienced professionals who must identify potential AI uses cases and work with AI systems.

  • This course is suitable for desktop and mobile use.

Course Outline

Every day, financial firms find new ways to use artificial intelligence (AI) in their business processes and operations. Advancements in the field of AI, including new machine learning (ML) techniques, artificial neural networks, and deep learning, are driving the creation of ever-more sophisticated FinTech systems. Increasingly, AI systems are able to take on complex tasks, enabling human workers to focus on adding value at a higher level while enhancing efficiency and lowering costs. As AI continues to develop and companies accelerate their adoption of smart systems, financial professionals must learn to work in partnership with new tools and technology.

What You Will Learn

Topic 1: AI & Machine Learning (ML) - Primer

  • Primer

Topic 2: Data Science - Mathematical Methods

  • Methods overview
  • Mathematical functions
  • Mathematical methods
  • Statistical methods

Topic 3: Big Data

  • Data Overview
  • Big Data
  • Other Data

Topic 4: Supervised Machine Learning - An Introduction

  • Machine Learning Overview
  • Supervised Machine Learning (S-ML)

Topic 5: Supervised Machine Learning - In Practice

  • Overview of Practical S-ML
  • Data and Methodology
  • Training an S-ML system

Topic 6: Unsupervised Machine Learning

  • Overview of Practical S-ML
  • Cluster Analysis
  • Dimension Reduction

Topic 7: Reinforcement Machine Learning & Neural Nets

  • Advanced AI Overview
  • Deep Learning & Neural Nets
  • Reinforcement Learning (RL)

Gain a professional asset allocation certificate

Gain Industry Knowledge and a Certification

 Test your knowledge throughout each tutorial with
regular review questions. 
  End each tutorial with a short, graded test designed to enhance knowledge retention.
  Gain a shareable professional certification.

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