Four free Harvard courses to become an expert in AI and earn thousands of dollars

Four free Harvard courses to become an expert in AI and earn thousands of dollars
Four free Harvard courses to become an expert in AI and earn thousands of dollars

Knowledge in this technological field is highly requested in current jobs. (VisualIA)

Harvard University, one of the most popular educational institutions in the world, has launched an educational offer to strengthen knowledge in artificial intelligence (AI) among the general public.

They have made available several free AI courses designed for students who already have prior technical training.

A relevant fact to mention is that all courses are taught in English and are accessible onlineallowing those interested to learn from anywhere in the world.

These courses stand out for allowing you to access academic offers from the comfort of home. (Illustrative Image Infobae).
These courses stand out for allowing you to access academic offers from the comfort of home. (Illustrative Image Infobae).

A notable course in this offer is the introductory program to artificial intelligence and machine learning, ideal for those who already have basic knowledge of Python, a versatile programming language widely used in software development.

Python is known for its simple syntax and wide range of libraries, making it a valuable tool for AI programming.

This Harvard course lasts seven weeks and requires a dedication of between 10 to 30 hours per week. The content covered includes search algorithms, reinforcement learning, principles of artificial intelligence, machine learning, and the design of intelligent systems.

Students can reorganize their time and see how they want to review their classes. (Photo: Freepik)
Students can reorganize their time and see how they want to review their classes. (Photo: Freepik)

This program will be available until the end of the year, allowing participants to acquire a solid and practical foundation to apply AI in their software projects.

This course focuses on the fundamentals of machine learning. Designed for those interested in creating data-driven prediction algorithms, This course lasts eight weeks and requires a weekly effort of two to four hours.

Participants will learn the basic principles of machine learning, such as cross-validation and building recommendation systems, such as those used to recommend movies.

This course provides the opportunity to understand how algorithms can learn and make predictions from data sets, key knowledge at a time when data is a valuable resource.

You can learn from the most basic concepts to the most specialized. (Illustrative image Infobae)
You can learn from the most basic concepts to the most specialized. (Illustrative image Infobae)

TinyML is a branch of machine learning that focuses on developing and deploying machine learning models on low-power devices with limited resources.

This course combines practical applications, algorithms, hardware, and software to teach students how to create machine learning solutions that can be integrated into small, energy-efficient devices.

With a duration of five weeks and a dedication of two to four hours per week, The course offers training on integrated machine learning, deep learning and responsible system design.

The study method is determined by each individual. (Illustrative Image Infobae)
The study method is determined by each individual. (Illustrative Image Infobae)

For those interested in data science, Harvard offers a course focused on advanced techniques for working with high dimensionality in data, known as the Capstone project.

A Capstone is an integrative capstone project that allows students to apply everything they have learned throughout the course in a practical project. This Harvard course lasts four weeks and requires between two to four hours of work per week.

It addresses topics such as dimension reduction, factor analysis and working with batches of data, fundamental aspects for the efficient management and analysis of large volumes of information.

Available until the end of November, This course allows students to complete their studies with practical and applied experience in the field of data science.

You can find all the application information on the University’s website, which highlights that the free online format of these courses makes them accessible to a global audience, democratizing access to high-quality education and promoting the exchange of knowledge and skills in AI worldwide.

 
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