Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
186 courses for “18th and 19th Century Europe”
4 hours
Three and a half hours of OpenCV in Python, from reading an image to detecting faces.
9 hours
Eight and a half hours on deep learning, from neural networks to the frameworks that train them.
New courses, a couple of emails a month. One click unsubscribes.
7 hours
A seven-hour tutorial on probability and statistics for data science, from a Stanford PhD.
7 hours
Twenty-seven lessons on statistics for data analysis and data science, taught in Hindi.
24 hours
Forty-four lessons covering the statistics behind machine learning, from sampling to hypothesis testing and interview questions.
7 hours
Thirty-two lessons building real games in PyGame, from drawing a shape on screen to sprite animation and a finished platformer.
1 lesson, about 3 hours
A single session, about 3 hours, published on YouTube by Simon Sez IT. Watched here on the course page.
9 lessons, about 7 hours
A 9-lesson playlist on Power BI, about 7 hours, published on YouTube by Microsoft Power BI. Watched here on the course page.
1 lesson, about 16 hours
A single session on blockchain & cryptocurrency, about 16 hours, published on YouTube by freeCodeCamp.org. Watched here on the course page.
1 lesson, about 7 hours
A single session on devops, about 7 hours, published on YouTube by Simplilearn. Watched here on the course page.
1 lesson, 18 minutes
A single session on generative ai, 18 minutes, published on YouTube by Henrik Kniberg. Watched here on the course page.
1 lesson, about 15 hours
Fifteen hours on network penetration testing from the ground up: setting up a lab, the tooling, and each stage of an engagement against a network you are allowed to test.
1 lesson, about 12 hours
Twelve hours of practical ethical hacking: reconnaissance, scanning, exploitation and post-exploitation, worked through against deliberately vulnerable targets.
1 lesson, about 5 hours
Five hours on the vocabulary and the fundamentals, aimed at somebody who needs the terminology of IT security before anything else makes sense.
1 lesson, about 8 hours
Eight hours covering cyber security end to end: the threat landscape, cryptography, network and application defence, and the certifications the field hires against.
1 lesson, 8 minutes
An eight-minute introduction to machine learning: how a model learns from data, the difference between supervised and unsupervised learning, and where each is used.
1 lesson, 6 minutes
A short illustrated introduction to what artificial intelligence is and how it differs from ordinary software, drawn rather than presented from slides.
1 lesson, 6 minutes
A five-minute explainer: what artificial intelligence means, the kinds of problem it is used on, and where the term is stretched further than it should be.
1 lesson, about 12 hours
Twelve hours for people starting from nothing: the vocabulary, the mathematics that cannot be skipped, machine learning and deep learning, and worked examples throughout.
1 lesson, about 5 hours
Five hours covering artificial intelligence end to end: what it is, how machine learning and deep learning sit inside it, the algorithms in common use, and where the field is applied.
