ClinchWorks
Explore a subject, work through the curriculum, and choose your next step.
Python is the backbone of modern automation, AI, and rapid application deployment. This course rapidly transitions from syntax fundamentals into advanced procedural workflows and object-oriented architectures.
Learn Python from first principles through twelve practical lessons, a complete standard-library inventory CLI, and a twenty-question final assessment. Practice reading unfamiliar and AI-generated code, writing functions, validating input, debugging, testing, and organizing a useful local program.
Move from manual neural networks to production-relevant deep learning development with PyTorch. Detailed engineering lessons with worked calculations, complete CPU labs, failure diagnosis, independent challenges and instructor capstone assessment.
Reduce memory and latency while preserving useful model quality. Actual quantization, INT4 packing, calibration and capacity calculations plus optional model comparison. Includes detailed lessons, worked solutions, failure injection, independent challenges and instructor assessment.
Build reliable RAG systems from ingestion through grounded generation and evaluation. Expanded engineering lessons with worked examples, runnable local practice, failure investigation and evidence-based assessment.
Learn stable Rust from first programs through ownership, borrowing, typed models, errors, traits, collections, tests, files, concurrency concepts, and careful code review. Build a complete standard-library record analyzer with bounded input, Unicode handling, explicit overflow errors, and meaningful tests. Includes twelve teaching modules, a full capstone, and a twenty-question final assessment. Baseline: Rust 1.85+ and edition 2024.
