Study computer science, university-style: 15 free resources
Real university courses, lectures and full curricula, free. I keep a directory of free ways to learn at brianpfeil.com/learn, sorted by goal, and every link opens without signing in. This is one of its paths: 15 resources, with the ones I’d start with marked ⭐. OpenCourseWare, by MIT ⭐: Lecture notes, videos and exams from 2,500+ real MIT courses. MITx, by MIT: MIT’s online courses, free to audit. Open Learning Library, by MIT: Self-paced MIT course material you can work through any time. Open Learning Initiative, by Carnegie Mellon: Carnegie Mellon’s research-backed courses that adapt as you learn. Free courses, by Stanford Online: Stanford’s free courses and recorded lectures, computer science included. Coursera: University courses you can audit for free; you pay only for a certificate. edX: Courses from Harvard, MIT and more, free to audit. OSSU Computer Science ⭐: A complete computer science degree assembled from free courses. Teach Yourself Computer Science: The nine subjects every software engineer should know, with one book and one lecture series for each. CS video courses: A huge index of university computer science courses with free lecture videos. Free online courses, by Open Culture: 1,700+ free courses from top universities, across every subject. NeetCode: Coding-interview practice, with a clear video explanation for each problem. Made here eBPF: See inside the running Linux kernel — observability and tracing with eBPF and bpftrace, taught from an app-developer starting point. macOS Kernel & System Extensions: Demystify how third parties extend macOS — from legacy kexts to modern user-space System Extensions — and build, install, and watch your own one run on Apple Silicon, all from the CLI. Nix: Reproducible builds and dev environments with Nix — derivations, the store, and flakes. The up-to-date list, and the other paths (code, cloud, AI, kids and more), is at brianpfeil.com/learn/university/.