Track 01 – Computer Fundamentals
Learn computing history, operating systems, Pascal, Ada, Rust, compilers, linkers, privacy, AI, and modern hardware.
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Build Open Agila with us
Explore the working Ada/V message-port core and x86-64 QEMU boot milestone. Learn the code, reproduce its tests, and contribute a focused improvement.
About 15 minutes per lesson, including practice. Complete every lesson check and pass every module assessment to earn this track certificate.
Track 22 – CPU Architecture & Portability
From bits and byte order to x86-64, Arm64, RISC-V, 6502, and Z80 portability.
Open TrackTrack 11 – Rust
Ownership, borrowing, collections, and reliable components.
Open TrackTrack 12 – C
C17 foundations for memory, systems interfaces, and kernel work.
Open TrackTrack 18 – Python
Readable programs, data structures, testing, and a route into AI runtime experiments.
Open TrackTrack 07 – Understand and Review AI Code
Understand AI-generated code. Trace its behavior, check its claims, find mistakes, and test the result.
Open TrackTrack 27 – Concurrency & Scheduling
Continue beyond syntax through focused experiments and a documented project.
Open TrackTrack 28 – Secure Software & Testing
Continue beyond syntax through focused experiments and a documented project.
Open TrackTrack 29 – Networking & Protocols
Continue beyond syntax through focused experiments and a documented project.
Open TrackTrack 23 – Build Open Agila OS
Read and build the real public kernel, model its missing components, and work toward tested boot milestones. Prerequisites: Ada, C, and CPU architecture.
Open TrackTrack 24 – Server OS Engineering
Services, isolation, storage, observability, and recoverable server images. Continue from OS and networking foundations.
Open TrackTrack 30 – CPU/GPU Core & Memory Mapping
Twelve 15-minute sessions on topology, affinity, NUMA, address spaces, GPU buffers, synchronization, and measured task placement.
Open TrackLearn at your own pace. Complete the lesson check to receive your certificate, then continue to the next lesson. How learning works