Google Cloud course Reinforcement Learning for Trading Strategies (Machine Learning)

Reinforcement Learning for Trading Strategies

Google cloud

 

Overview

Google cloud and the New York Institute of Finance is organizing an online course on Reinforcement Learning for Trading Strategies which is a part of the Machine Learning for Trading Specialization course and this course is offered on the online platform named Coursera, and You can Start For free but further, after 7 days You need to pay: This course is for finance professionals, investment management professionals, and traders. Alternatively, this Specialization can be for machine learning professionals who seek to apply their craft to trading strategies. Approximately 12 hours will be enough to complete this course and  Jack Farmer Curriculum Director New York Institute of Finance and  Ram Seshadri Machine learning Consultant Google Cloud will be the instructor in this online course: If you are interested in this you can read more details about it.

Features

There are the following features that will be in this online course by the google cloud and New York Institute of Finance on Reinforcement Learning for Trading Strategies

  • Shareable Certificate
  • Earn a Certificate upon completion
  • 100% online
  • Start instantly and learn at your own schedule.
  • Course 3 of 3 in the
  • Machine Learning for Trading Specialization
  • Flexible deadlines
  • Reset deadlines in accordance with your schedule.
  • Intermediate Level
  • Approx. 12 hours to complete
  • English
  • Subtitles: English

You will learn

You will learn the following skills in this online course by Google and the New York Institute of Finance 

  • Understand the structure and techniques used in reinforcement learning (RL) strategies
  • Describe the steps required to develop and test an RL trading strategy
  • Describe the methods used to optimize an RL trading strategy

Fees

You can Enroll for free ( For 7 days), Then paid You can check here

Skills

  1. Reinforcement Learning Model Development
  2. Reinforcement Learning Trading Algorithm Optimization
  3. Reinforcement Learning Trading Strategy Development
  4. Reinforcement Learning Trading Algo Development

Topics

  • Introduction to Course and Reinforcement Learning.    3 hours
  • Neural Network Based Reinforcement Learning            5 hours
  • Portfolio Optimization                                                      4 hours

Instructor

Jack Farmer Curriculum, Director, New York Institute of Finance

Ram Seshadri, Machine learning, Consultant Google Cloud

 

 

How to apply Apply Here




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