Clean Architecture in Python Course Syllabus

Overview: This course provides a hands-on introduction to Clean Architecture in Python, guiding developers through the design and implementation of maintainable, testable applications using proven architectural patterns. Over 8 modules, you'll build a solid understanding of layer separation, dependency management, and scalable design, culminating in a capstone project that ties all concepts together. Expect to spend approximately 56-64 hours total, with each module requiring 7-8 hours of active learning and coding.

Module 1: Introduction to Clean Architecture

Estimated time: 8 hours

• History and core benefits of Clean Architecture
• Understanding layer responsibilities and boundaries
• Recap of SOLID principles in Python context
• Sketching high-level architecture for a sample domain

Module 2: Defining Entities & Use Cases

Estimated time: 8 hours

• Designing domain entities with Python classes
• Encapsulating business rules within entities
• Implementing use case interactors as core logic
• Separating domain logic from infrastructure concerns

Module 3: Interfaces & Gateways

Estimated time: 8 hours

• Defining ports and interfaces for adaptability
• Creating abstract repository interfaces
• Implementing in-memory adapters for testing
• Applying interface segregation principle

Module 4: Frameworks & Delivery Mechanisms

Estimated time: 8 hours

• Integrating web frameworks (FastAPI/Django)
• Building controllers to handle HTTP requests
• Connecting delivery mechanisms to use cases
• Handling CLI and background job integrations

Module 5: Dependency Injection & Inversion

Estimated time: 8 hours

• Understanding inversion of control
• Implementing dependency injection manually
• Configuring a simple Python DI container
• Using factory patterns for adapter creation

Module 6: Testing Strategies & Test Doubles

Estimated time: 8 hours

• Differentiating unit and integration tests
• Using mocks and stubs for test isolation
• Testing entities and use cases in isolation
• Validating adapter integrations with test doubles

Module 7: Applying Patterns & Best Practices

Estimated time: 8 hours

• Refactoring code with Repository pattern
• Applying Factory and Strategy patterns
• Using Observer pattern across layers
• Identifying and avoiding architectural anti-patterns

Module 8: Capstone Project & Architecture Review

Estimated time: 8 hours

• Building a full CRUD service using Clean Architecture
• Implementing all layers: entities, use cases, interfaces, frameworks
• Conducting peer code review and architecture validation

Prerequisites

• Strong working knowledge of Python programming
• Familiarity with object-oriented design and basic web concepts
• Experience with writing and running unit tests in Python

What You'll Be Able to Do After

• Structure Python applications using Clean Architecture principles
• Separate business logic from frameworks and databases
• Design testable systems with clear dependency boundaries
• Implement robust applications using SOLID and design patterns
• Review and refactor codebases to improve maintainability