Everyone has dreamed of being their own boss, an ideal for which we invest resources and countless hours of study. Although this is undoubtedly the basis of a successful career and subsequent professional growth, nowadays there are multiple tools capable of crossing different fields of expertise to help us enhance our objectives and allow us to take the lead in the job world.

Currently, every data science student, teacher and professional has a formed opinion about Artificial Intelligence (AI), its uses, applications and limitations. It is a discipline in constant expansion, and its scope is becoming increasingly transversal. Even those in other academic branches and professions are beginning to have more than a passing interest in these emerging technologies.

According to MIT Sloan Research, more than 90% of the largest companies globally are using AI to improve their customer interaction protocols. In other words, we are entering a new decade, one that will definitely be defined by data. As a consequence, the demand for professionals dedicated to these disciplines will be much more intense.

New opportunities

US-based management consulting firm McKinsey & Company estimates that 13% of current work activities performed in occupations that require a college or advanced degrees could be displaced. Specifically, the study found that 60 to 375 million people around the world could be faced with the need to change their field of work by 2030.

Contrary to popular opinion, where these tools are often the cause of job losses, the new era led by data offers multiple and new opportunities. In this change of landscape, technologies such as AI and Machine Learning (ML) will lead the demand for professionals for this date. But where to start?

Who to follow

Keep up to date with the latest news from the world of artificial intelligence by following some of the most respected voices in the AI ​​world on social media.

Bob Swan, Intel Corporation

Jen-Hsun “Jensen” Huang, Nvidia

Demis Hassabis, DeepMind Technologies

Jeff Bezos, Amazon

Juan Larenas, UNIT

Free resources for professional growth

There are many free access tools that can help you forge your new career in AI. Here we recommend some.

Elements of AI

The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. They combine theory with practical exercises so you can learn at your own pace.

MIT Artificial Intelligence Course

Available through the official YouTube channel of the Massachusetts Institute of Technology, it is aimed at professionals with basic knowledge of AI.

Intensive Google Machine Learning Course

Although it does not require any prior knowledge, we recommend that you have experience in Python programming. However, the course contains secondary resources to help you continue learning.

Stanford Machine Learning Course

The popular online course platform Coursera offers this course taught by the renowned Stanford University. It is focused on acquiring practical knowledge on key aspects of AI.

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