9 Free Courses from the Leaders of the Artificial Intelligence Market

Do you want to dive into the world of artificial intelligence and machine learning? We have compiled a list of free courses from world-class companies such as Stanford, MIT, Google, and IBM. More details in our article.

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Introduction to AI by IBM
In this course, you will learn the fundamentals of artificial intelligence, its key concepts, and real-world applications. You will also gain insights into the issues, limitations, and ethical considerations associated with the use of AI.

Duration: 1 month

Google AI Essentials
In this course, participants learn how to use AI tools to develop ideas and content, make more informed decisions, and accelerate daily tasks. The course also fosters a responsible approach to AI, including identifying potential harms and developing strategies to stay relevant in the rapidly evolving AI landscape.

Duration: 3 weeks

Introduction to Generative AI by Google Cloud
This course is an introduction aimed at explaining what generative AI is, how it is used, and how it differs from traditional machine learning methods. It also includes a list of tools that help create Google's proprietary Genie applications.

Duration: 1 hour

Machine Learning by Stanford University
In this course, participants learn to build machine learning models using NumPy, scikit-learn, and TensorFlow for tasks such as prediction, classification, and recommendation systems. The course also covers best practices in ML development and building ensemble models.

Duration: 2 months

Intel AI Fundamentals Course
Learn the fundamentals of artificial intelligence to effectively sell solutions by understanding what AI is, its relevance, typical applications, and methods for interacting with key stakeholders. The course introduces examples of applications in other industries and scenarios where use cases can be scaled.

Duration: 3 months

Machine Learning Crash Course by Google AI
This is an intensive introductory course in machine learning for beginners. It combines video lectures, textual materials, and practical exercises to help participants quickly master the core concepts and methods of machine learning. The course focuses on real-world examples and tools used in AI development.

Duration: 3 weeks

Introduction to Artificial Intelligence with Python by Harvard University
This course explores concepts and algorithms such as handwriting recognition, game engines, and machine translation. Through practical projects, students become familiar with the theory underlying graph search, classification, and optimization algorithms.

Duration: 2 months

Neural Networks for Machine Learning by University of Toronto
The course investigates the principles, architectures, and algorithms of neural networks. This helps participants understand how to build and train neural networks to solve real-world problems.

Duration: 3 months

Elements of AI by University of Helsinki
This is 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 AI methods. The training is designed for both beginners and experienced participants.

Duration: 4 months