Master Python Engineering
From computational thinking to CPython internals - the most structured Python curriculum built for engineers who ship production AI systems.
Seven Courses. One Complete Path.
Each course builds on the last. Start free, go deep.
Python Foundation
Core Python syntax, memory model, computational thinking & problem solving
What you'll master
- Computational Thinking
- Variables & Memory Model
- Functions & Modularity
- Data Structures & Stdlib
- Error Handling & File I/O
- Testing Fundamentals
40 lessons
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Python Intermediate
OOP, iterators, async I/O, testing & production engineering patterns
What you'll master
- OOP & Design Patterns
- Iterators & Generators
- Async & Concurrency
- Threads & Multiprocessing
- Testing & CI Workflows
- Packaging & Distribution
45 lessons
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Python Advanced
Metaprogramming, advanced typing, async patterns, performance, architecture & security
What you'll master
- Metaclasses & Descriptors
- Advanced Type System
- Async & Concurrency
- Performance Engineering
- Architecture & Design
- Security Engineering
35 lessons
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Python for AI & ML
Scientific Python stack, NumPy internals, PyTorch/JAX fundamentals, and LLM engineering patterns
What you'll master
- NumPy Internals & Vectorisation
- Pandas for ML Workflows
- SciPy & Scikit-Learn Pipelines
- PyTorch Fundamentals
- JAX & Functional ML
- Calling LLM APIs
- Streaming & Prompt Templates
- Token Counting & Tool Use
- Python for Vector Search
15 lessons
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Python Enterprise & Architecture
GoF design patterns, SOLID, DDD, Hexagonal Architecture, gRPC, event-driven systems, and microservice patterns
What you'll master
- Creational, Structural & Behavioral Patterns
- SOLID Principles in Python
- Domain-Driven Design
- Hexagonal Architecture
- FastAPI in Depth
- gRPC with Python
- Event-Driven Architecture & Kafka
- API Versioning & Contracts
12 lessons
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Python Production Engineering
Profiling, Cython, Numba, memory optimisation, async performance, structured logging, metrics, and distributed tracing
What you'll master
- Profiling with cProfile & py-spy
- Cython & Native Extensions
- Numba JIT Compilation
- Memory Optimisation & __slots__
- Async Performance Patterns
- Python at Scale (Ray, Dask)
- Structured Logging & structlog
- Metrics with Prometheus
- Distributed Tracing & OpenTelemetry
- Error Tracking with Sentry
13 lessons
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Python Systems & Internals
CPython architecture, GIL internals, memory management, bytecode, OS primitives, sockets, and C extensions
What you'll master
- CPython Architecture
- Python Objects Under the Hood
- The GIL Explained
- Memory Management Internals
- Bytecode & the Compiler
- OS Primitives in Python
- Sockets & Networking
- File Descriptors & I/O
- Shared Memory & IPC
- Writing Python C Extensions
13 lessons
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Ready to engineer, not just code?
Start with Python Foundation - free, structured, and built for engineers who ship.
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