// Skill
Learn Rust
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Best courses to learn Rust
Shipping Rust
Take a Rust crate from a "works on my machine" laptop build to a production-grade artifact that ships through a gate no one can bypass. The course walks through a real 3-crate ETL workspace — etl-core, etl-cli, and etl-bench — built around clap derive macros, a tuned `[profile.release]`, and a multi-stage Dockerfile that drops a 1.8 GB rust:latest image to a 6 MB scratch+musl container with no shell to attack. You then wire pmat, bashrs, forjar, and pv onto the standard fmt + clippy + test + 100% coverage + audit + deny stack — because a green build badge is misleading when an agent wrote half
All levels
HelixDB From Zero
Stop stitching three databases together. HelixDB is a Rust-native graph plus vector engine that holds your nodes, your embeddings, your typed edges, and your key-value documents in one process — no separate Postgres, no separate Qdrant, no separate Neo4j. This course walks a Rust-fluent engineer from helix init through a typed HelixQL schema, the helix check and helix compile pre-deploy gates, side-by-side graph traversal and vector search in the same query language, and a typed Rust client that calls a live HelixDB instance with four runtime contracts. Every primitive you meet is wired into a
All levels
Production ML with Hugging Face
Learn to deploy ML models to production using the Sovereign Rust Stack—a pure Rust implementation with zero Python runtime dependencies. This hands-on course teaches you to work with three critical model formats (GGUF, SafeTensors, APR), implement MLOps pipelines with CI/CD and observability, and deploy models across GPU, CPU, WebAssembly, and edge targets. Through real-world projects including a Python-to-Rust transpiler (Depyler), browser-based speech recognition (Whisper.apr), and LLM inference benchmarking (Qwen), you'll master format conversion, cryptographic model signing, and performan
All levels