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Performance-critical AI infrastructure requires a compiled language. Rust is becoming the choice for inference engines and data processing pipelines. This course teaches Rust through AI systems use cases.

✅ What’s Inside:

  1. Why Rust for AI Systems
  2. Rust Ownership Model
  3. Memory Safety Without GC
  4. Data Processing Performance
  5. Parallel Computation with Rayon
  6. SIMD Operations
  7. Interfacing with Python via PyO3
  8. Building a Fast Tokenizer
  9. Inference Engine Concepts
  10. WebAssembly for Browser AI
  11. Benchmarking and Profiling
  12. Project: Build a Fast Data Pipeline in Rust