Learn Artificial Intelligence with Python in this Free course!

Artificial intelligence (AI) is a field of study and technological development that focuses on creating systems and programs capable of performing tasks that require human intelligence.

These systems use algorithms and mathematical models to learn, reason, recognize patterns, make decisions, and solve problems autonomously.

Python, on the other hand, is a widely used programming language in the field of artificial intelligence. Python is known for its clear and readable syntax, which facilitates the development of complex applications and algorithms.

The relationship between artificial intelligence and Python lies in the fact that Python has become one of the preferred languages for AI developers due to its ease of use, versatility, and wide range of specialized libraries available.

Python provides an intuitive syntax that allows developers to efficiently and quickly implement AI algorithms.

If you are interested in delving into this exciting field and learning how to develop your own AI programs, the course for creating Artificial Intelligence with Python is the ideal choice.

In this course, taught by Javier Finance through the renowned social learning platform Udemy, you will gain the necessary basic knowledge to get started in the world of AI using Python as the programming language.

The course focuses on practice, providing real-world cases and clear explanations so that you can effectively apply the concepts learned.

Additionally, the course will introduce you to the world of predictions, where you will learn to use the Scikit-Learn library to predict values in the stock market, product prices, horse race results, among others.

You will also dive into natural language processing, where you will learn to summarize texts and create chatbots using the NLTK library.

It is important to note that the course is designed for people of all levels, so you don’t need to be an expert in mathematics or have advanced programming knowledge.

To access the course, you only need a computer and a stable internet connection. You can go to the course by following this link.