Curious about the buzz around AI breakthroughs and wondering how to dive in? Don't worry—you can start with a bit of curiosity, beginner-friendly courses, and plenty of passion. Whether you're keen to understand algorithms or eager to teach machines how to learn, these five courses are perfect for getting started stress-free.

Machine Learning Crash Course by Google

This course consists of modules designed to teach learners both basic and advanced ML concepts. It starts with essential topics like Classification, Linear Regression, and Logistic Regression, which help you learn about building basic ML models. The course then covers some necessary data handling techniques, which include lessons on how to work with numerical and categorical data and how to approach challenges like overfitting. 

Stanford CS229: Machine Learning Course by Andrew Ng

This course covers many foundational machine-related topics, including supervised learning, unsupervised learning, and reinforcement learning. The popular CS229 course is ideal for those looking for a rigorous, detailed exploration of machine learning concepts from the get-go. Also, if you are comfortable with mathematics and seeking an academic approach to machine learning, this course is perfect for you.  

Intro to Machine Learning by Kaggle 

Kaggle is a popular platform in the field of machine learning and data science. This particular beginner course offers an accessible and easy entry point into machine learning. Designed to help you learn the core concepts, this course will help you build your first machine-learning models. This is also an excellent starting point for beginners as it is highly practical, providing hands-on exercises and guides to solidify your learning. Don't forget to look into other courses on Kaggle when you are done with this!

Machine Learning for Everybody by freeCodeCamp.org

This course is an extensive resource developed especially for beginners, available for free on YouTube. It covers both practical and theoretical aspects of ML, including hands-on implementations, and is focused on making ML accessible. The course also offers a hands-on approach to learning ML with Google Colab and real datasets. If you are looking for clear explanations and code examples to understand machine learning, this course is an excellent starting point.

Data Science: Machine Learning by HarvardX

This course is part of the Professional Certificate Program in Data Science, but you can audit it for free. It teaches you the core concepts of machine learning while helping you learn how to build prediction algorithms using data. The best part is that you will be solidifying your knowledge by applying it immediately using real-world datasets. This HarvardX course is ideal for beginners who want to learn practical skills in machine learning while learning its applications in the field of data science.