Do you want to learn about technology? 5 free online courses

Posted by Md Khann on March 5th, 2020

It is essential to train people dedicated to the development of this technology and cognitive computing to continue developing solutions and thus support industries. he technology industry has grown considerably in different areas and with different products in recent years, but many people think that artificial intelligence stands out for its potential to radically transform different industries.

It is not just about cars capable of driving by themselves or smart traffic lights; AI has already been inserted in industries such as financial, telecommunications, retail, and pharmaceutical. However, according to the Vision Mobile consultant, by 2020 4.5 million specialists in artificial intelligence will be needed and today there are few agencies that are dedicated to the recruitment and training of people who are capable of doing so.

For the general director of Nearshore Delivery Solutions, Gustavo Parés comments that the training of people dedicated to the development of this technology and that of cognitive computing is essential to continue developing solutions and thus support the industries.

Below are 5 courses that are given free of charge to anyone interested in learning about this technology that promises to change our lives.

1.  Machine Learning in Coursera (Advanced)

This is the course of Andrew Ng one of the parents of neural networks. The course gives you an introduction of linear and statistical algebra and then very succinctly explains the different stages in the creation of a machine learning model. 

Coursera also has several courses on artificial intelligence in which helps its students to understand how it has influenced fields such as medicine, personalized education, and autonomous cars. The main objective of these courses is to build a society driven by artificial intelligence.

Anyone with basic machine learning knowledge can take these 5 courses - which will be taught in December 2018 - that teach how to build neural networks by teaching autonomous driving studies, natural language processing, music generation, reading Sign language and health cases.

2.  Intro to Artificial Intelligence of Udacity (Intermediate)

This intermediate-level course - taught in English - aims to teach interested parties the basics of modern artificial intelligence, as well as some of its main applications in machine learning, probabilistic reasoning, robotics, and natural language processing. It has a duration of 4 months and the only requirement is to have statistical bases. Intro to Artificial Intelligence works in collaboration with Amazon Alexa, IBM Watson, Affectiva and the Georgia Institute of Technology, among others.

3.  Google Deep Learning (Advanced)

The course aims to show how to optimize basic neural networks, convolutional neural networks and long-term memory networks, as well as complete learning systems in TensorFlow - Google's artificial intelligence framework - and the resolution of new types of problems which were considered almost impossible to understand before. The requirements are at least 2 years of experience in programming (preferably in Python), basic knowledge of machine learning, statistics, linear algebra, and calculation. Training Live Online Instructor-Led Learning

4.  Artificial Intelligence of MIT (Basic)

This course was taught in person at MIT in 2010 and was composed of 30 conferences that introduced students to the representation of basic knowledge, problem-solving and learning methods of artificial intelligence. Available on the university's course platform, it has videos, support materials and exercises of various types that teach how to develop intelligence systems through the resolution of specific computational problems, the understanding of the role of knowledge representation, the Intelligence systems engineering learning and the role of human intelligence from a computational perspective.

5.  Artificial Intelligence in Stanford (Different difficulties)

Stanford engineering professors offered online courses in their most popular subjects of the computer science school: introduction to artificial intelligence, introduction to databases and machine learning, with the intention of teaching them more about artificial intelligence since it is the future. During the course, various tests and two exams that accredit students who take it online with a letter of completion are applied.

There are also other courses on AI that can be taken for free via online such as Machine Learning, Practical Deep Learning for Coders or Artificial Intelligence for Robotics that train students to, in the future, be captured by the most important companies in the technology industry