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Financial Engineering and Artificial Intelligence in Python is a course in financial engineering and artificial intelligence training using the Python programming language. The Python programming language is a high-level, all-purpose interpretive language developed in 1980 by Dutch programmer Guido van Rossum and published in 1991. Today, the Python programming language is one of the most popular programming languages ​​among developers and in various fields such as web development, computer game development, machine learning and artificial intelligence, data science, etc. It works.

Course Features

The Financial Engineering and Artificial Intelligence in Python course, developed by the Lazy Programmer, will teach you how to use the Python programming language in artificial intelligence and finance. This course consists of 14 sections that with the completion of this course and all its sections in areas such as stock price forecast and stock returns, time series analysis, Holt-Winters smoothing model, integrated correlated moving average, efficient market hypothesis You will master the hypothesis of random walking, exploratory data analysis, alpha and beta, distribution and correlation of stock returns, optimization of mean variance, capital asset pricing model, etc.

Course specifications

  • Publisher: Udemy
  • Instructor: Lazy Programmer Team
  • Language: English
  • Level of training: basic to advanced
  • Number of lessons: 137 lessons in 14 sections
  • Duration: 20 hours and 3 minutes

Course topics

Financial Engineering and Artificial Intelligence in Python


Decent Python coding skills
Numpy, Matplotlib, Pandas, and Scipy (I teach this for free! My gift to the community)
Matrix arithmetic


Financial Engineering and Artificial Intelligence in Python

Sample film

Installation guide

After Extract, watch with your favorite Player.

Subtitle: English

Quality: 720p

Download link

Download Part 1 – 2 GB

Download Part 2 – 2 GB

Download Part 3 – 497 MB

File(s) password:


4.49 GB

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