Explore AI
If you want to learn more about what artificial intelligence is, you’ve come to the right place!
Here are some websites I recommend for learning about AI.
Learning AI from scratch
Elements of AI is a free online course developed by the University of Helsinki in partnership with the company Reaktor. It includes both beginner and advanced sections, aiming to help the general public understand the core concepts and practical uses of artificial intelligence in a simple and accessible way.
You don’t need to master the mechanics behind engine design—just like learning to drive, you can grasp how AI works without diving into complex theory. In the advanced part of the course, you can even start “building the car” by learning how to develop your own AI software.
This is an AI learning platform provided by Google. It offers resources for different levels of learners, from beginners to developers. The content includes explanations of what AI is, the basic structure of machine learning, code examples, video tutorials, and case studies. It is especially well-suited for people who are interested in technology but don’t have a background in programming. Through Google’s perspective, you can explore how AI is used in real-world situations.
Khan Academy is known for its animated and interactive teaching style. Although it isn’t a platform specifically designed for AI, its courses on computational thinking, algorithms, and logic provide an important foundation for understanding how AI works. It is a great choice for teenagers or adults with no prior knowledge, offering a fun and simple way to build essential skills.
Intermediate AI learning
Founded by Andrew Ng, this is one of the most well-known platforms for AI education today. The courses cover a wide range of topics, including deep learning, natural language processing, generative AI, and reinforcement learning. They explore both technical implementation and ethical considerations. The platform emphasizes a “practical first” approach. Even with only basic programming knowledge, you can gradually build up your AI development skills. It’s especially suitable for those who aim to work in the AI field.
Coursera brings together AI courses from top universities and companies such as Stanford, MIT, Google, IBM, and Duke. It offers a full range of content from beginner to advanced levels. You can learn at your own pace and earn official certificates upon completion. Many courses are
taught by leading experts in the field. For example, Andrew Ng’s “Machine Learning” course has become one of the most popular starting points for people learning AI around the world.
This is a collection of free AI course materials made publicly available by the Massachusetts Institute of Technology. It includes full videos, lecture slides, assignments, and exams. The course is in-depth and well-structured, covering topics such as search algorithms, probabilistic models, and reinforcement learning. It is best suited for learners who already have some background in math or programming. If you’re looking for a comprehensive and authoritative resource to understand the principles and reasoning behind AI, this is an excellent choice.
Fast.ai is a nonprofit research group founded in 2016 by Jeremy Howard and Rachel Thomas
with the goal of making deep learning accessible to everyone. The platform focuses on enabling people to use deep learning regardless of their background. Instead of spending too much time on theoretical derivations, the courses jump straight into hands-on projects. With just a small
amount of code, learners can build powerful AI models. The platform emphasizes solving
real-world problems such as image recognition and text generation. It’s an ideal choice for developers who want to dive into AI projects right away.
AI industry trends and market developments
Exploding Topics – AI Section
This is one of my personal favorite websites, offering valuable market data on artificial intelligence.
The article “54 NEW Artificial Intelligence Statistics (Mar 2025)” is a detailed analytical report published by the trend-tracking platform Exploding Topics. It provides a comprehensive overview of the most cutting-edge AI statistics and industry trends in 2025. More than just a collection of numbers, it serves as a guide to understanding how AI is evolving—covering topics such as technological advancements, market growth, business adoption, real-world applications, and its impact on jobs and society.
The AI Trends page on Exploding Topics is dedicated to tracking and showcasing emerging trends in the AI space. By analyzing search volume and growth patterns, it highlights fast-rising topics and tools like LLM agents, Langfuse, and Abacus AI. This platform is especially useful for entrepreneurs, developers, and investors who want to stay ahead of the curve and explore which technologies are gaining momentum in the field.
The AI Now Institute is a nonprofit research organization based in New York, founded in 2017 by Meredith Whittaker and Kate Crawford. It focuses on studying the social impact of artificial intelligence, with particular attention to issues such as the concentration of technological power, algorithmic transparency, data privacy, labor rights, and government regulation.
AI Now is dedicated to advancing social responsibility and accountability in AI through policy research and public advocacy. Its work plays an important role in shaping how AI technologies are governed and how they affect society at large.
AI Index is a specialized platform developed and maintained by the Stanford Institute for Human-Centered Artificial Intelligence (Stanford HAI). It is dedicated to tracking global developments in artificial intelligence through a data-driven approach.
As one of the most influential and trusted annual publications in the AI field, the AI Index releases a major report each year—the AI Index Report. This comprehensive report presents the current state of AI worldwide through detailed data analysis, trend charts, and international comparisons. It covers multiple dimensions such as technological progress, research output, industry investment, policy and regulation, and societal impact.
The platform serves as a key reference for academia, industry, and policymakers alike. It also plays a crucial role in shaping public understanding and policy discussions around AI. Drawing on data from governments, corporations, universities, and research institutions, the content is curated and interpreted by a team of interdisciplinary experts to ensure both objectivity and forward-looking insight.
The report dives deep into topics such as the performance limits of large models,
country-by-country adoption of AI technologies, the effects of AI on job markets, legislative developments, and shifts in public perception. The AI Index website also offers interactive charts that allow users to filter data and generate visualizations, making it an ideal tool for researchers, journalists, policymakers, and anyone who wants to better understand the evolution and societal relevance of AI.
MIT’s technology media division offers high-quality, in-depth reporting on artificial intelligence. Its AI section covers a wide range of topics including technological breakthroughs, social and ethical issues, business trends, and regulatory challenges.
The platform emphasizes a critical perspective, making it especially suitable for readers who want a well-rounded understanding of the complex impacts AI has on society, industry, and policy.
Hugging Face is not only a great place for developers to access pre-trained models, but also an important platform for staying up to date with cutting-edge AI advancements.
Its blog features model breakdowns, coding tutorials, community discussions, and hands-on project insights. It’s especially valuable for learners with some development experience who want to stay closely connected to the latest in AI technology.