5 key resources to get started with AI
Five online resources to help you learn AI and Machine Learning, whether you are a tech geek or simply just beginning to dive in the world of AI
Thinking to learn more about AI? Here are some resources that can help you get started.
Udacity offers a free Intro to Artificial Intelligence course where you can learn the basics of Artificial Intelligence and its growing applications in business. The course starts by covering the fundamentals of statistics and logic before progressing to more applied, specific use of AI, including robotics, natural language processing, and computer vision.
Format: videos, interactive quizzes
Google AI offers a large collection of tutorials, guides, and resources, whether you are just learning to write your first code or you are an experienced Machine Learning engineer. It offers basic tutorials covering the fundamentals of AI and ML, as well as instructions on how to apply these techniques to different social and environmental challenges. Google AI can help you build a broad understanding of technological and business factors that you will find very useful when considering how AI can work for your organization.
Format: videos, guidebooks, essays, workshops, Machine Learning repository and open-source ML platforms
The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. It offers introductory classes to everyone who wants to understand what AI does, how it may affect them, and what can AI be used for, without getting involved in the underlying mathematics and statistics. It demonstrates that there is no need for in-depth knowledge of AI in order to start taking advantage of the opportunities offered by Artificial Intelligence and Machine Learning.
Format: readings and exercises
You can find many free AI courses at MOOC List for any level, starting from AI introductory courses to learning advanced Machine Learning techniques offered by many university professors and business professionals. In particular, Stanford University professor Andrew Ng, offers free courses on Neural Networks and Deep Learning, how to structure a Machine Learning project, how to build models for natural language, and more.
Format: videos, readings, case studies and final project for certificate
The course is also led by Andrew Ng, the person who pioneered Google Brain deep learning program. The course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. You will learn some of the best machine learning practices and techniques, and gain practical knowledge on how to apply these techniques to deal with problems within your organization.
Format: videos, readings, and quizzes
Last, but not least, do not forget to subscribe to the Kantify newsletter where we regularly share insights about applied machine learning.
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