Top Artificial Intelligence (AI) YouTube Channels to Subscribe in 2023

Discover the top YouTube channels that delve into the fascinating world of Artificial Intelligence (AI) and offer valuable insights and tutorials.

With 2.97M subscribers, Lex Fridman Podcast is one of the most popular machine learning YouTube channels. Hosted by Lex Fridman, an AI researcher at MIT, the channel covers machine learning, human-robot interaction, and autonomous cars.

Lex Fridman

Sentdex, hosted by Harrison Kinsley, provides video tutorials on machine learning, deep learning, and natural language processing. With 1.23M subscribers, Harrison shares his extensive knowledge as a programmer and trainer.


Kevin Markham, the creator of, runs the Data School YouTube channel. With 220K subscribers, Kevin offers valuable instruction on machine learning suitable for learners from various educational backgrounds.

Data School

This channel covers a wide range of AI-related topics, including deep learning, machine learning, natural language processing, and computer vision. With 162K subscribers, it provides content suitable for beginners and advanced learners.

Artificial Intelligence – All in One


Explore the Kaggle channel for data science projects, lectures, advice, and conversations with data scientists. With 127K subscribers, this channel is perfect for anyone interested in experimenting and learning new things.


Arxiv Insights, owned by Xander Steenbrugge, presents technical insights in a more understandable manner for a wider audience. With 87.1K subscribers, the channel offers intriguing content focused on ML and AI.

Arxiv Insights

DeepLearning.TV provides content on deep learning, including how-tos, software evaluations, and interviews with industry influencers. With 81.2K subscribers, the channel helps viewers understand the logic behind various deep learning techniques.


Jeremy Howard, a data scientist with a background in philosophy, created to simplify deep learning model development. With 78.2K subscribers, offers efficient and user-friendly frameworks for computer vision tasks.

Jeremy Howard

Phil Tabor, a deep learning and machine learning engineer, provides instructional videos on deep reinforcement learning and other topics. With 36.1K subscribers, his playlist covers fundamental ideas and techniques in the field.

Machine Learning with Phil