Let's compile a list of the best free courses on various subjects. Video courses are preferred; it's nice to have a backlog of videos to watch when the opportunity arises, like while flying.
Xeno Kovah's courses on low-level systems architecture, security, firmware, reversing & vulnerabilities, <a href="https://p.ost2.fyi" rel="nofollow">https://p.ost2.fyi</a><p>"OST2: A new way to grow security talent for open source projects", <a href="https://archive.fosdem.org/2022/schedule/event/ost2/" rel="nofollow">https://archive.fosdem.org/2022/schedule/event/ost2/</a><p><i>> .. he ended up working for Apple. There he worked on securing all the lesser-known firmwares on Macs and peripherals - everything from 3rd party GPUs to SecureBoot for monitors! He worked on the x86-side of the T2 SecureBoot architecture, and his final project was leading the M1 SecureBoot architecture - being directly responsible for designing a system that could provide iOS-level security, while still allowing customer choice to trust arbitrary non-Apple code such as Linux bootloaders. He left Apple in Dec 2020 after the M1 Macs shipped, so he could work full time on Open Security Training.</i>
Even if it seems like it's outdated somewhat due to the breakneck progress of machine learning in the past few years the legendary Cs231n is still the course to start your ML journey with. Especially as taught by Andrej Karpathy. You should be able to find recordings of it on YouTube. Make sure you get the ones from Karpathy years at Stanford. As brilliant as Andrej is as a ML practitioner, he is an absolute world class mastermind at teaching this stuff.
CMU's Andy Pavlo database courses and related webinars<p><a href="https://m.youtube.com/playlist?list=PLSE8ODhjZXjaKScG3l0nuOiDTTqpfnWFf">https://m.youtube.com/playlist?list=PLSE8ODhjZXjaKScG3l0nuOi...</a>
<a href="https://m.youtube.com/playlist?list=PLSE8ODhjZXjaKScG3l0nuOiDTTqpfnWFf">https://m.youtube.com/playlist?list=PLSE8ODhjZXjaKScG3l0nuOi...</a>
On building iOS, iPadOS and macOS apps using the latest version of SwiftUI: <a href="https://www.youtube.com/playlist?list=PL9VJ9OpT-IPSM6dFSwQCIl409gNBsqKTe">https://www.youtube.com/playlist?list=PL9VJ9OpT-IPSM6dFSwQCI...</a><p>Helped me a lot in building the apps I have published on <a href="https://lowtechguys.com/" rel="nofollow">https://lowtechguys.com/</a>
pwn.college from the folks at ASU SEFCOM is by a significant margin the best comprehensive binary exploitation training you can get. There are video lessons from some of the top professors and graduate (and undergraduate) TAs, CTF players, and more alongside a massive suite of hands on practice and a community for discussion and learning.<p>Video training sessions: <a href="https://youtube.com/@pwncollege">https://youtube.com/@pwncollege</a>
Challenges: pwn.college
Discord: <a href="https://pwn.college/discord" rel="nofollow">https://pwn.college/discord</a>
Modern Colour Theory For Traditional And Digital Painting Media
by Dr David. J.C. Briggs,
><a href="http://www.huevaluechroma.com" rel="nofollow">http://www.huevaluechroma.com</a>
Android/Kotlin course on Udacity, by Google: <a href="https://www.udacity.com/course/developing-android-apps-with-kotlin--ud9012" rel="nofollow">https://www.udacity.com/course/developing-android-apps-with-...</a><p>This one is slightly out of date, but it's great, something I'd happily pay $300 or so for. The value is heavily subsidized by Google. I have taught week-long Android professional certifications and this does a lot better than most of them out there.
MIT course series on Computation Structures:<p><a href="https://computationstructures.org/" rel="nofollow">https://computationstructures.org/</a>
Stephen Boyd’s course on Convex Optimization
<a href="https://see.stanford.edu/Course/EE364A" rel="nofollow">https://see.stanford.edu/Course/EE364A</a>
When I was in high school and college I used to watch Dana Mosely's math videos. He got the best explanations I've ever found.
<a href="https://coolmathguy.com/" rel="nofollow">https://coolmathguy.com/</a>
* Machine Learning, Andrew Ng, Coursera<p>* Practical Deep Learning for Coders, fast.ai<p>* Mathematics for Machine Learning Specialization, Imperial College London<p>* Deep Learning Specialization, Andrew Ng, Coursera
Maybe not my expertise, but it's rare to see this kind of content<p>so if you want to learn something like: PCI/CXL/USB/x86/ARM/DRAM/SAS/AHCI/NVM/SATA/Virtualization/UEFI/Thunderbolt<p>then I've seen this <a href="https://www.mindshare.com/" rel="nofollow">https://www.mindshare.com/</a> being recommended
This <i>Tour of Heroes</i> tutorial can teach you just about everything that you need to know about Angular, and it can be completed in a pretty short amount of time.<p><a href="https://angular.io/tutorial/tour-of-heroes" rel="nofollow">https://angular.io/tutorial/tour-of-heroes</a>
ReactJS: <a href="https://scrimba.com/learn/learnreact">https://scrimba.com/learn/learnreact</a><p>Also just started the free FastAI course, seems very good so far