FastAPI Training in Radom

This instructor-led, live training in (online or onsite) is aimed at developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.

By the end of this training, participants will be able to:

• Set up the necessary development environment that integrates FastAPI, React, and MongoDB.
• Understand the key concepts, features, and benefits of the FARM stack.
• Learn how to build REST APIs with FastAPI.
• Learn how to design interactive applications with React.
• Develop, test, and deploy applications (front end and back end) using the FARM stack.

This instructor-led, live training in Radom (online or onsite) is aimed at developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs easier and faster.

By the end of this training, participants will be able to:

• Set up the necessary development environment to develop APIs with Python and FastAPI.
• Create APIs quicker and easier using the FastAPI library.
• Learn how to create data models and schemas based on Pydantic and OpenAPI.
• Connect APIs to a database using SQLAlchemy.
• Implement security and authentication in APIs using the FastAPI tools.
• Build container images and deploy web APIs to a cloud server.

The training focuses on practical learning of creating REST APIs using the FastAPI framework. Participants will learn the complete process of building a web application—from understanding client-server architecture and the HTTP protocol, through implementing all CRUD operations, to integrating with a database and securing the application.

The program includes working on a simple, example project that participants build step by step. They will learn to define endpoints, validate input data using Pydantic, handle errors, and return appropriate HTTP status codes. They will also explore two approaches to working with databases: direct SQL queries through psycopg and ORM SQLAlchemy.

We place a strong emphasis on code organization—modularization, separation of logic, and good practices for project structuring. Participants will also learn to test their APIs using TestClient, work with automatically generated documentation, and implement authentication and password hashing mechanisms.

After the training, participants will be able to independently design and implement functional REST APIs connected to a database, secured, and ready for further development. They will gain practical knowledge that allows them to start working as backend developers in Python.