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FastAPI Complete Guide

This course is designed to help you learn the core functions of FastAPI, as well as the entire process of web service development. Through this course, we will help you become a FastAPI expert developer needed in the field.

(4.9) 87 reviews

1,004 learners

Level Intermediate

Course period Unlimited

Python
Python
FastAPI
FastAPI
SQL
SQL
SQLAlchemy
SQLAlchemy
Python
Python
FastAPI
FastAPI
SQL
SQL
SQLAlchemy
SQLAlchemy

Reviews from Early Learners

4.9

5.0

안창신

100% enrolled

The content was also rich and it was a lecture that was just right for me. Since I have to process everything with RAW SQL, it was better because ORM was not covered. While listening to the lecture, it took quite a while to proceed while creating each endpoint that I would actually use. Thank you, instructor. For reference, for those who use a Windows package management tool such as scoop, the latest version of redis 7.4.1 is packaged, so you can install it in one line without complex WSL settings. You don't have to install the old version of 3.0. https://github.com/redis-windows/redis-windows I hope this was helpful to those who are listening to the lecture.

5.0

akor1

31% enrolled

They explain everything in a detailed and kind manner.

5.0

박준영

14% enrolled

The content is so good!!

What you will gain after the course

  • Learn the core components of FastAPI

  • Handling Pydantic Models

  • Handling databases and writing stable DB handling code based on SQLAlchemy

  • Asynchronous DB Handling in SQLAlchemy

  • Handling the Jinja2 template engine

  • File Upload in FastAPI

  • Implementing MVC-based modules in FastAPI

  • Exceptions and Exception Handling Methods of Various FastAPIs

  • Handling Middleware

  • FastAPI's Authentication and Login

  • Signed Cookie based on Cookie and SessionMiddleware

  • Handling Sessions Using Redis

Faster and more convenient
Want modern web/API development?

FastAPI has grown rapidly in a short period of time and is rapidly expanding its reach thanks to strong support from the developer community.


Why FastAPI?

1. Excellent performance

FastAPI, which follows ASGI standards, processes requests asynchronously, offering the fastest performance among Python web frameworks. Fast response times are essential for today's large-scale applications that must accommodate numerous users simultaneously.

2. Intuitive design for developers

FastAPI is designed to help developers work more efficiently and productively. Its intuitive internal API, dependency injection functionality, unified type hints, and automatically generated OpenAPI documentation minimize errors during development and dramatically accelerate projects.

3. Convenient data processing and verification

FastAPI is fully integrated with Pydantic, safely and precisely handling data validation, serialization, and parsing. This enables developers to write more efficient and reliable code and easily handle complex data structures.

4. Infinite possibilities of asynchronous processing

FastAPI provides the ability to process multiple tasks simultaneously through asynchronous programming. It excels in I/O-bound operations, such as databases and external APIs, enabling the building of fast, highly responsive applications.

FastAPI is not difficult - with this lecture,

✅ Systematic learning from FastAPI's core components to advanced concepts

We'll help you master the fundamentals of FastAPI, covering asynchronous programming, middleware handling, and advanced authentication techniques, offering step-by-step learning suitable for both beginners and experienced users.


✅ Especially when developing a blog application

Starting with basic functions, you can gradually enhance your application and naturally learn various technologies related to FastAPI.


✅ Learning through various practical examples

The course consists of 25% theory and 75% practical training, and the curriculum is filled with various hands-on classes to help you naturally learn FastAPI from the basics to expert-level functions.

Most of the hands-on classes are conducted through live coding . By following the videos step-by-step, you'll find yourself confidently working with FastAPI.

It doesn't just cover FastAPI itself.
Covers the entire process of developing a web service using FastAPI.

1. Database coding techniques used at the enterprise level

Database client code requires reliable database resource protection. We'll detail key elements of operation mechanisms like connection pooling, connections, and cursors, as well as how to write Python code for performance and stable database utilization.

You will also learn in depth about database manipulation and asynchronous database processing techniques using SQLAlchemy.

DB_Fundamentals

2. Hands-on, project-based learning through blog applications

This course will teach you how to develop a blog application. Starting with basic functions, you'll gradually enhance the application, naturally acquiring a variety of FastAPI-related skills through hands-on practice.

blog_technic

3. Detailed explanation and practice for understanding Pydantic

To effectively use FastAPI, an understanding of Pydantic is essential. This course not only explains and practices Pydantic itself, but also provides precautions for applying Pydantic to FastAPI and troubleshooting solutions for errors.

pydantic

4. Building dynamic web pages using the Jinja2 template engine

Learn how to leverage the Jinja2 template engine in FastAPI to improve user experience and seamlessly integrate your frontend and backend.

jinja2_template

5. Powerful error handling and exception management techniques

Learn the exception handling features provided by FastAPI to prepare for various exceptional situations and learn how to improve the stability of your applications. You'll also learn common error handling patterns to improve code maintainability.

httpexception

6. Handling Middleware

In addition to applying the middleware provided by FastAPI, you'll learn how to create your own custom middleware. By creating custom middleware, you'll not only gain an understanding of the internal structure of middleware, but also gain the ability to implement FastAPI's extensions yourself.

middleware

7. Advanced Authentication and Session Management: Using Signed Cookies and Redis

Learn how to design a secure authentication system, manage sessions using Redis, and implement signed cookies, enabling you to build robust web applications that can handle high-volume traffic.

session_redis

This course does not cover ORM .

While this course contains extensive hands-on material on database CRUD, it does not cover Object-Relational Mapping (ORM) . CRUD is performed solely using SQL . Please keep this in mind when selecting a course.

Things to note before taking the course

Practice Environment 💾

Practice environment

Practice environment

  • Operating System (OS): This tutorial will be conducted on a Windows operating system, but it can also be performed on a Mac. Any environment that can install VSCode, FastAPI, MySQL, and Redis is sufficient.


  • PC specifications: PC with basic specifications capable of Internet access

Learning Materials

  • Lecture materials can be downloaded within the lecture.

  • You can download the practice materials from https://github.com/chulminkw/fastapi_pguide . By reviewing the practice code, you can get a sense of the Python level required for the course.

Player knowledge

  • Since it covers the entire process of web development using FastAPI, beginner-intermediate or higher level Python experience is required.

  • Although much of the lab involves RDBMS CRUD, basic SQL skills are sufficient.


  • The UI uses Bootstrap, but basic knowledge of HTML is sufficient for practical understanding.

Recommended for
these people

Who is this course right for?

  • Anyone who wants to learn FastAPI

  • For those who want to systematically learn how to implement Python-based web applications beyond simple FastAPI functions.

  • Those who want to improve the performance of existing web/APIs by utilizing asynchronous frameworks, etc.

  • Anyone who needs to transition from an existing Java, Node.js-based backend developer to a Python-based backend developer

  • If you are looking for a modern web framework with powerful performance and simple convenience features.

  • (Not covered in this lecture) Anyone looking for an asynchronous API framework for serving machine learning models

Need to know before starting?

  • Intermediate level Python skills

  • SQL basics skills

  • HTML Basics

Hello
This is dooleyz3525

Inflearn Verified

28,694

Learners

1,602

Reviews

4,092

Answers

4.9

Rating

15

Courses

(Former) Encore Consulting | (Former) Oracle Korea | Author of "Python Machine Learning Perfect Guide"

AI Freelance Consultant

 

Curriculum

All

164 lectures ∙ (25hr 8min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

87 reviews

4.9

87 reviews

  • dbsckssh4984님의 프로필 이미지
    dbsckssh4984

    Reviews 1

    ∙

    Average Rating 5.0

    5

    30% enrolled

    You can study fastAPI in detail. The theoretical explanations are thorough, but the biggest advantage is that it focuses on practical usage methods, so there are no parts that could be boring.

    • dooleyz3525
      Instructor

      I'm glad that the practical lecture was appreciated. Thank you for taking the time to write such a valuable review.

  • tofaye221846님의 프로필 이미지
    tofaye221846

    Reviews 2

    ∙

    Average Rating 5.0

    5

    100% enrolled

    The content was also rich and it was a lecture that was just right for me. Since I have to process everything with RAW SQL, it was better because ORM was not covered. While listening to the lecture, it took quite a while to proceed while creating each endpoint that I would actually use. Thank you, instructor. For reference, for those who use a Windows package management tool such as scoop, the latest version of redis 7.4.1 is packaged, so you can install it in one line without complex WSL settings. You don't have to install the old version of 3.0. https://github.com/redis-windows/redis-windows I hope this was helpful to those who are listening to the lecture.

    • dooleyz3525
      Instructor

      Oh, thank you for the long review. And thank you for the good info on Windows Redis.

  • yesaroun님의 프로필 이미지
    yesaroun

    Reviews 33

    ∙

    Average Rating 4.9

    5

    31% enrolled

    They explain everything in a detailed and kind manner.

    • dooleyz3525
      Instructor

      Thank you so much for the detailed compliments! ^^

  • uuuuuup님의 프로필 이미지
    uuuuuup

    Reviews 80

    ∙

    Average Rating 5.0

    5

    30% enrolled

    I haven't used Python much, but this really helps me understand it quickly.

    • dooleyz3525
      Instructor

      I'm glad it was helpful. Thank you for the good review ^^

  • junyoung님의 프로필 이미지
    junyoung

    Reviews 4

    ∙

    Average Rating 5.0

    5

    14% enrolled

    The content is so good!!

    • dooleyz3525
      Instructor

      Haha, thank you so much for writing such a great course review!

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