Python Full Stack

About this course

Build complete web applications with Python, a modern React frontend and a production-style deployment, and learn to use AI coding tools without losing quality.

Prerequisites: Basic computer knowledge.

8

Learning units

40

Topics covered

2

Projects

10

Tools

1. 1

   Week 1

   Python Foundations

   • Data types, control flow and functions
   • Lists, dictionaries, sets and comprehensions
   • Object-oriented programming
   • Exceptions and file handling
   • Virtual environments, packages and Git

   Assignment

   Build a command-line expense tracker and publish it on GitHub.

2. 2

   Week 2

   Advanced Python and Testing

   • Decorators, generators and type hints
   • Async programming with async/await
   • Logging and debugging
   • Unit tests with pytest
   • Code quality with Ruff

   Assignment

   Add tests and type hints to your Week 1 project.

3. 3

   Week 3

   Databases and SQL

   • Relational modelling and normalization
   • PostgreSQL: joins, indexes and transactions
   • SQLAlchemy ORM
   • Database migrations with Alembic
   • Query optimization basics

   Assignment

   Design and query the database for a job board.

4. 4

   Week 4

   Backend APIs with FastAPI and Django

   • REST design and Pydantic validation
   • FastAPI routing and dependency injection
   • JWT authentication and role-based access
   • Django and Django REST Framework overview
   • OpenAPI documentation and API testing

   Assignment

   Build authenticated APIs for your job board.

5. 5

   Week 5

   Frontend with JavaScript and React

   • Modern JavaScript and TypeScript basics
   • React components, props, state and hooks
   • Routing and forms
   • Fetching data and handling errors
   • Responsive UI with Tailwind CSS

   Assignment

   Build the job board frontend and connect it to your APIs.

6. 6

   Week 6

   Docker, CI/CD and Cloud Deployment

   • Dockerfiles and Docker Compose
   • GitHub Actions pipelines
   • Deploying to AWS
   • Environment variables and secrets
   • Application security basics: OWASP Top 10

   Assignment

   Deploy your application with an automated pipeline.

7. 7

   Week 7

   AI-Assisted Development and LLM Features

   • Using GitHub Copilot and Claude well
   • Reviewing and verifying AI-generated code
   • Calling LLM APIs from Python
   • Building a simple RAG feature
   • Cost, privacy and safety considerations

   Assignment

   Add an AI-powered search or assistant feature.

8. 8

   Week 8

   Capstone and Interview Preparation

   • Capstone build, review and demo
   • Common Python, SQL and API interview questions
   • Coding practice
   • System design basics
   • Portfolio and resume review

   Assignment

   Present your capstone and complete a mock interview.

Projects you will build

These are training projects. Please describe them honestly as training work on your resume and in interviews.

Tools and technologies

• Python
• FastAPI
• Django
• PostgreSQL
• React
• TypeScript
• Docker
• GitHub Actions
• AWS
• pytest