Overview What You Will Learn Curriculum Instructor

Course Overview

Artificial intelligence (AI) is leading the front of the digital transformation strategy in finance today. AI can practically be employed in everything present in the digital world.

We will start with an introduction to volatility derivatives and get to know about the volatility index, VIX index calculation, and algorithmic theory. We will then move to an exciting case study of bitcoin trading strategy through machine learning. Further, we will find out what reinforcement learning is and what its current industrial applications are. What's more, we will also get to get the hang of reverse reinforcement learning along with its industrial applications

At the end of the course, you will be able to master the art of applying Python-based programming to different paradigms in the financial industry and perform effective and efficient data analysis.

The necessary resources for this course are in the "Resources" section of Video 1.1. You can also access them through this direct link - https://github.com/ec-council-learning/AI-for-Finance

“Disclaimer: The opinion expressed in this course/contents are those of the speaker/author and they do not reflect the opinion or views of his current and former employers.”

What You Will Learn

  • Explore Volatility Derivative and Financial Analytics
  • Learn how to calculate VIX index
  • Gain knowledge on RL
  • IRL
  • and its industrial applications

Program Curriculum

  • Introduction to Volatility Derivative
  • Financial Analytics of S&P 500 and Volatility Index
  • Calculating VIX Index
  • Calculating Multiple VIX and their Comparison
  • Introduction to Algorithmic Trading
  • Case Study - Bitcoin Trading Strategy through ML
  • $7 Million Cybersecurity Scholarship by EC-Council
  • Chapter 1 Quiz

  • Introduction to RL
  • Application of RL for Finance
  • Inverse RL and its Applications
  • Chapter 2 Quiz

Instructor

Shovon Sengupta

Shovon Sengupta is an experienced data scientist with over 12 years of experience in advanced predictive analytics, machine learning, deep learning, and reinforcement learning. He has worked extensively in designing award-winning solutions for various organizations, for different business problems in the realm of Finance. Currently, he is Director - Data Science @AI CoE in one of the leading NBFCs in the USA. He has a USA patent(United States Patent - Sengupta et al. : Automated Predictive Call Routing Using Reinforcement Learning) for designing a reinforcement learning-based solution to his credit.

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