Learning Paths¶

Each path is a 24-week master-level curriculum. Pick one and start at its prelude; or pull a single topic from search.

Go Mastery ¶

Runtime, GMP scheduler, GC, channels, distributed systems.

Java Mastery ¶

JVM, JIT (C1/C2/Graal), GC (G1/ZGC), Loom, modern idioms.

Rust Mastery ¶

Ownership, async, unsafe, FFI, production architecture.

Python Mastery ¶

CPython internals, performance, concurrency, AI runtimes.

Linux Kernel ¶

Kernel foundations, mm, namespaces, cgroups, eBPF, networking.

Container Internals ¶

OCI, filesystems, runtimes, security, supply chain.

Kubernetes ¶

Control plane, kubelet/CRI, controllers, networking, day-2.

AI Systems ¶

GPU programming, framework internals, distributed training, inference.

AI Expert Roadmap ¶

12-month companion: math, ML, transformers, RAG, evals, fine-tuning, observability.

Go From Scratch (Beginner)¶

Beginner path: from never-coded to reading and contributing to real OSS Go.

Python From Scratch (Beginner)¶

Beginner path: from never-coded to reading and contributing to real OSS Python.

Java From Scratch (Beginner)¶

Beginner path: from never-coded to reading and contributing to real OSS Java.

Rust From Scratch (Beginner)¶

Beginner path: never-coded → reading and contributing to real OSS Rust. Includes the borrow checker.

Linux From Scratch (Beginner)¶

Beginner path: never-opened-a-terminal → contributing to Linux-adjacent OSS (scripts, dotfiles, docs).

Containers From Scratch (Beginner)¶

Beginner path: heard-of-Docker → writing Dockerfiles, debugging containers, contributing to containerized OSS.

Kubernetes From Scratch (Beginner)¶

Beginner path: heard-of-Kubernetes → deploying pods/services/Helm charts, debugging clusters, contributing to K8s-adjacent OSS.

AI Systems From Scratch (Beginner)¶

Beginner path: heard-of-ChatGPT → training a small net, fine-tuning with LoRA, building RAG, serving locally, contributing to AI OSS.

AI Expert Roadmap From Scratch (Beginner)¶

Beginner orientation: 12-month career arc, what to learn when, math you actually need, picking a specialization, portfolio, interview prep, first 90 days.