10 Best Free AI & Machine Learning Courses For Beginners

Start your AI journey with this curated list of the top 10 free AI and machine learning courses for beginners from Google, Microsoft and more.

As the demand for Artificial Intelligence (AI) expertise escalates, it’s becoming an essential skill across numerous careers. Recent studies reveal a staggering 75% increase in AI and machine learning job opportunities over the past four years, with expectations of a 40% growth from 2023 to 2027.

In an era where AI is redefining industry norms, even a basic understanding of these technologies can set you apart in the job market. However, accessing quality AI education can be challenging, especially for beginners or those outside the computer science sphere.

This article aims to bridge that gap. It offers a curated list of top-notch, free online courses handpicked from leading technology firms and academic institutions. These resources are designed to introduce core AI and machine learning concepts and practical projects, accessible without advanced mathematics or coding expertise. Let’s embark on this educational journey.

AI for Beginners (Microsoft)

Microsoft’s “AI for Beginners” is a comprehensive 12-week curriculum designed to introduce learners to the world of Artificial Intelligence (AI). This course is perfect for beginners and encompasses 24 lessons covering a range of AI topics. It includes hands-on lessons, quizzes, labs, and more, ensuring an engaging and thorough learning experience.

Generative AI for Beginners (Microsoft)

“Generative AI for Beginners” by Microsoft is a 12-lesson course meticulously crafted to teach the essentials of building Generative AI applications. Structured by Microsoft Cloud Advocates, this comprehensive course takes you through various key aspects of Generative AI principles and practical application development. The course is not just about learning; it’s about applying these concepts to build your own Generative AI startup, offering a real-world context to your learning journey.

Generative AI Learning Path (Google)

It offers a comprehensive introductory program on generative AI technology and its responsible development. Created and managed by Google Cloud, the multi-course curriculum provides over 25 hours of content explaining fundamentals, applications, and ethical considerations.

Early courses focus on conveying what generative AI is, how popular models like large language models function, and techniques to improve them. The curriculum then shifts to responsible AI – what it means, why it matters, and methods for practically applying ethical AI principles when building real-world systems.

AWS Machine Learning & Artificial Intelligence Training

AWS offers a comprehensive learning path for beginners aiming to build a career or expand their knowledge in machine learning within the AWS Cloud. This set of on-demand courses is designed to enhance technical skills and provide practical application knowledge in ML, AI, and deep learning (DL), paving the way for insights and value in various roles.

Elements of AI

The course is divided into two primary sections. The first part, “Introduction to AI”, offers a foundational understanding of AI. It’s tailored for everyone interested in learning about AI’s potential impacts and applications in our daily lives. This part requires no prerequisite knowledge, making it ideal for junior high school students or anyone new to the subject. The second part, “Building AI”, delves into the algorithms that enable the creation of AI methods. This section is slightly more advanced and suggests having some basic Python programming knowledge to fully benefit from the content.

Introduction to Artificial Intelligence (UC Berkeley CS188)

CS 188: Introduction to Artificial Intelligence, taught at UC Berkeley in Fall 2018, is an enriching course that dives into the fundamental ideas and techniques for designing intelligent computer systems.

Machine Learning (Stanford CS229)

A comprehensive journey into the world of machine learning, suitable for those with a strong foundation in linear algebra, probability theory, and programming. This course, held in Autumn 2018, was conducted on Mondays and Wednesdays and included a series of lectures covering fundamental to advanced topics in machine learning.

AI for Everyone (DeepLearning)

“AI for Everyone” by DeepLearning.AI, led by Andrew Ng, is an introductory course designed to make AI accessible to a broader audience, especially non-technical professionals. The course, which spans approximately 6 hours, aims to demystify AI and machine learning, explaining their impact on society and business.

Practical AI for Teachers and Students (Wharton School)

Wharton Interactive’s crash course delves into the mechanics and impacts of LLMs, spotlighting models like OpenAI’s ChatGPT4, Microsoft’s Bing in Creative Mode, and Google’s Bard.

Machine Learning Crash Course (Google)

Google’s Machine Learning Crash Course with TensorFlow APIs is an action-packed, practical introduction to machine learning. It’s designed for those who seek a fast-paced environment to learn the basics of ML through video lectures, real-world case studies, and hands-on practice exercises. The course features over 25 lessons, 30+ exercises, and takes approximately 15 hours to complete.


As artificial intelligence and machine learning transform industries worldwide, developing foundational knowledge in these areas is becoming imperative across professions. This curated list of free online courses offers an accessible entry point for beginners to start an AI/ML learning journey, regardless of their mathematical or coding backgrounds.

Key takeaways include gaining introductory exposure to AI concepts through Microsoft’s “AI for Beginners” and “Generative AI for Beginners” courses. For a responsible development focus, Google’s Generative AI Learning Path provides over 25 hours of content. Those interested in business applications can benefit from Wharton School’s crash course on large language models. And for hands-on practice, Google’s Machine Learning Crash Course allows learners to apply ML with TensorFlow.

When selecting a course, consider your goals and learning style. Opting for a combination of theoretical and practical resources can provide well-rounded AI literacy. As you progress, don’t hesitate to revisit fundamentals through these beginner-friendly courses before advancing.

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