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Free courses to learn about Artificial Intelligence, from the basics

February 2, 2019

In this post we will introduce you to a few free courses that will teach you about artificial intelligencesomething that will change the world completely. ENTER!

 

WE START:

Until just a few years ago, artificial intelligence was seen as something that was more for the movies, science fiction stories in which they showed us that machines had evolved to such a level that they regularly decided to eliminate their creators, humans.

Artificial Intelligence has been gaining more space over the years, projects such as the autonomous vehicles being developed by Uber or Tesla Motors, could not be possible without it, it is an area that will need in the near future people who have knowledge about it.

This time I present you five free courses, starting from the basics so that you can get to know this branch better:

Intro to Artificial Intelligence

Introduction to Artificial Intelligence, would be its title in Spanish, this course is in English. You will know the basics of modern artificial intelligence.

  • Level: Intermediate.
  • Language: English.
  • Duration: 4 months.
  • Requirements: To know about statistics.

Go to the course

Practical Deep Learning For Coders

This course will teach you how to design state-of-the-art Deep Learning models. The main requirement is that you know Pyhton, as the whole course is based on this language and the instructor assumes that you already have previous knowledge.

  • Level: Intermediate.
  • Language: English.
  • Duration: 7 Weeks.
  • Requirements: To know Phyton.
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Go to the course

Artificial Intelligence for Robotics

This course focuses on how to program systems that will be used in autonomous vehicles. Basic methods in artificial intelligence is what you will learn in this course.

  • Level: Advanced.
  • Language: English.
  • Duration: 2 months.
  • Requirements: Knowledge of Phyton, notions of POO and knowledge of linearx algebra.

Go to the course

Machine Learning

This course is divided into two sections, in the first you will learn what supervised computer learning is like, and the second what unsupervised computer learning is like.

  • Level: Intermediate.
  • Language: English.
  • Duration: 4 months.
  • Requirements: Probability, linear algebra, statistics and also knowledge of neural networks.

Go to the course

Reinforcement Learning

This course is designed to know how is the learning of the machines, its theoretical perspective. Using current information combined with work done, you will explore the perspective of an autonomous decision made from a computer.

  • Level: Advanced.
  • Language: English.
  • Duration: 4 months.
  • Requirements: Knowledge of Java and having taken the Machine Learning course.

Go to the course

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