No longer fodder for science fiction, artificial intelligence is becoming more diverse and applicable to everyday life. Within the first hour of waking, most of us use technology driven by AI. Our computers and smartphones are safe thanks to AI-driven cybersecurity, and even our electricity usage is monitored by artificial intelligence. Seeing as how AI is a impacting all aspects of our life, it becomes clear that AI experts are needed. AI careers are not restricted to cybersecurity or data science. With an education in artificial intelligence, one can become a machine learning engineer, business intelligence developer, or research scientist. These specialists are high-powered and well paid, providing great motivation to seek education in AI.

Online Resources: The Accessible and Convenient Route to Learning AI

With self-driven online education on the rise, resources for AI learning have become more accessible. The restrictions of traditional college learning are a thing of the past, and it is now possible to achieve a high level of education while maintaining life’s responsibilities. Prestigious universities such as MIT and Harvard now offer online courses in AI, along with several others that offer more specialized courses. Here are a few online courses that have received excellent reviews from students.

MIT Online Artificial Intelligence Course

Artificial intelligence: implications for business strategy (self-paced online)

This is a comprehensive course that focuses on the managerial and organizational uses of AI technologies, rather than on their detailed technical functions. Business owners or those currently in management positions can benefit greatly from this course, particularly if they are considering integrating AI into daily operations. Emphasis is placed on the ways people and artificial intelligence together have the abilities to solve complex workplace problems.

Artificial intelligence: implications for business strategy is not just recommended for those currently in a business. This course covers AI technologies that are utilized the most, such as robotics, machine learning, and language processing. With the practical knowledge of the implications of these technologies offered, this is an excellent introduction to artificial intelligence.

Udemy Online AI Courses

Artificial Intelligence from A-Z: Learn how to build AI

Designed to be an accessible and results-driven course, Udemy’s Artificial Intelligence from A-Z is arranged in tutorials and modules for immersive learning. Starting with writing basic code, the student is gradually introduced to more complex, real-world scenarios in which code must be adjusted. This course is excellent for those who are learning to write code, or experienced coders looking to broaden their skill set to keep up with ever-changing data processing needs. Udemy provides data scientists to support students during coding, so that any challenges that are encountered are successfully navigated.

Artificial Intelligence I: Basics and Games in Java

Focusing on constructing algorithms, this course gives the student tools to become competitive and successful in several fields. Software engineering, investment banking, and healthcare diagnostic technologies require algorithms that can detect patterns. Well-constructed algorithms can predict stock activity and even help diagnose cancer. Artificial Intelligence I is divided into sections that teach the student how to construct each type of algorithm required for different applications, and concludes with a fun section that teaches the student how to construct algorithms for games.

Pluralsight Online AI Courses

Machine learning is a method of data analysis that is automating analytical model prototyping. It is one of the branches of AI based on the idea that systems feed and learn from big data. In order to be able identify commonalities and make decisions and power applications without active human intervention

Harvard University: Big Data Systems

An intensive course on design, structure, and algorithms, Harvard’s course on big data systems gives the student a serious look at the organizational aspects of AI. As the demand for information grows, collection capabilities, data organization, and underlying hardware must evolve to keep pace with this demand. This course will teach the student how to design data systems and structures, as well as how to construct algorithms for several data-driven processes. The curriculum is based on basic concepts, and how these concepts drive both simple and complex processes.