Introduction to Artificial Intelligence

Training overview
Professional Course
Self-paced Online
4 weeks
From 49 USD

Start dates
49 USD
Start anytime

Course description

Introduction to Artificial Intelligence

Artificial Intelligence (AI) is becoming very important in our personal and work lives. But, will it be possible to build a machine or robot as intelligent as the human being? This is one of the answers that AI tries to offer, trying to create a machine capable of behaving like a human being, which implies the ability to perceive the environment and perform tasks successfully.

AI allows us to communicate with our cell phones and computers, as if they were human beings. Today it is possible to ask an electronic device to listen to our favorite music, to turn on the coffee maker or to turn off the lights.

Even more incredible, in the work area it is possible to request a prediction of the permanence or resignation of our clients or analyze our social networks to find out the degree of client satisfaction with our company and/or products.

In this course you will learn the theoretical foundations of AI with its main branches such as Machine Learning, Deep Learning, Robotics, Language Processing and Expert Systems.

In addition, you will apply the concepts in the creation of models such as Natural Language Processing, Classification Trees and the Bayesian Classifier.

Additionally, you will learn to use the data science platform called RapidMiner, for the design and testing of the models.

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Who should attend?


Basic knowledge of computer use.

Training content

  • Artificial Intelligence
  • Natural Language Processing.
  • Classification Trees.
  • Bayesian Classifier

Course delivery details

This course is offered through Universidades Anáhuac, a partner institute of EdX.

4-5 hours per week


  • Verified Track -$49
  • Audit Track - Free

Certification / Credits

What you'll learn

  • You will understand the concepts related to Artificial Intelligence and its branches.
  • You will design and apply prediction models based on Machine Learning to make decisions based on data.
  • You will be able to design and apply Natural Language Processing models.

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141 Portland Street
02139 Cambridge Massachusetts

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