9 free courses on artificial intelligence from leaders in the AI market

Want to dive into the world of artificial intelligence and machine learning? We’ve compiled a list of the best free courses from global giants like Stanford, MIT, Google, and IBM. Find out how to start learning today and gain access to knowledge that will open up new career horizons for you.

Published 3 min read

Introduction to Artificial Intelligence by IBM

In this course, you will become familiar with the fundamentals of artificial intelligence, its key concepts, and real-world applications. Additionally, you will gain insight into the challenges, limitations, and ethical issues associated with the use of AI.

Duration: 1 month

AI Essentials by Google

In this course, participants will learn how to use generative AI tools to develop ideas and content, make more informed decisions, and accelerate everyday tasks. The course also covers responsible AI practices, including identifying potential biases and preventing harm, as well as developing strategies to stay current in the rapidly evolving AI landscape.

Duration: 3 weeks

Introduction to Generative AI by Google Cloud

This introductory course aims to explain what generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google tools that will help you develop your own Genie applications.

Duration: 1 hour

Machine Learning by Stanford University

In this course, participants will learn how to build machine learning models using NumPy, scikit-learn, and TensorFlow for prediction, classification, and recommendation system tasks. The course also covers best practices in ML development and building reinforcement learning models.

Duration: 2 months

AI Fundamentals by Intel

Learn the fundamentals of artificial intelligence to effectively sell AI-powered solutions: what AI is, its relevance, typical applications, and how to communicate with key stakeholders. The course introduces case studies that can be scaled to other industries and use cases.

Duration: 3 months

Machine Learning Crash Course by Google AI

This is an intensive introductory course designed for beginners in machine learning. It combines video lectures, text materials, and hands-on exercises to help participants quickly master key machine learning concepts and methods. The course emphasizes real-world examples and tools used in AI development.

Duration: 3 weeks

Introduction to Artificial Intelligence with Python by Harvard University

This course covers concepts and algorithms such as game engines, handwriting recognition, and machine translation. Through practical projects, students become familiar with the theory underlying graph search algorithms, classification, and optimization.

Duration: 2 months

Neural Networks for Machine Learning by University of Toronto

The course explores the principles of neural networks, their architectures, and algorithms. It helps participants understand how to create and train neural networks to solve real-world problems.

Duration: 3 months

Elements of AI by University of Helsinki

A series of free online courses created by MinnaLearn and the University of Helsinki. The courses cover fundamental AI concepts, its capabilities and limitations, and offer practical exercises for learning AI methods. The learning pace is flexible, suitable for both beginners and more experienced participants.

Duration: 4 months