FastAPI for Busy Software Engineers
FastAPI for Busy Software Engineers, available at $54.99, has an average rating of 4.2, with 48 lectures, based on 98 reviews, and has 600 subscribers.
You will learn about Create & deploy production ready APIs using the FastAPI Framework Develop a deep understanding of the principles and capabilities of FastAPI Acquire the skills to be productive with FastAPI quickly Increase your career prospects with a highly in-demand skill FastAPI endpoint validation with Pydantic Error Handling Serving HTML with Jinja2 Templates Working with FastAPI and a Database (including migrations) Structuring large projects Performance with Async Auth with JWT Integrating with React Deploying FastAPI Emails & Background Tasks This course is ideal for individuals who are Hobby/Professional Software Engineers who know what a REST API is and want to get straight to the point or Software engineers who have built things with frameworks like Flask/Django/Express/Spring Boot/Rails or similar It is particularly useful for Hobby/Professional Software Engineers who know what a REST API is and want to get straight to the point or Software engineers who have built things with frameworks like Flask/Django/Express/Spring Boot/Rails or similar.
Enroll now: FastAPI for Busy Software Engineers
Summary
Title: FastAPI for Busy Software Engineers
Price: $54.99
Average Rating: 4.2
Number of Lectures: 48
Number of Published Lectures: 48
Number of Curriculum Items: 49
Number of Published Curriculum Objects: 49
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Create & deploy production ready APIs using the FastAPI Framework
- Develop a deep understanding of the principles and capabilities of FastAPI
- Acquire the skills to be productive with FastAPI quickly
- Increase your career prospects with a highly in-demand skill
- FastAPI endpoint validation with Pydantic
- Error Handling
- Serving HTML with Jinja2 Templates
- Working with FastAPI and a Database (including migrations)
- Structuring large projects
- Performance with Async
- Auth with JWT
- Integrating with React
- Deploying FastAPI
- Emails & Background Tasks
Who Should Attend
- Hobby/Professional Software Engineers who know what a REST API is and want to get straight to the point
- Software engineers who have built things with frameworks like Flask/Django/Express/Spring Boot/Rails or similar
Target Audiences
- Hobby/Professional Software Engineers who know what a REST API is and want to get straight to the point
- Software engineers who have built things with frameworks like Flask/Django/Express/Spring Boot/Rails or similar
Do you really want another 20-hour course (which will probably gather dust)? This is the no-fluff alternative you’ve been searching for. Go from zero to confident with FastAPI in a single morning – and keep a reference guide you will return to time and again.
I’ve got skin in the game: I run my own SaaS platform on FastAPI, and have run it in production for multiple significant client projects.
This course covers all key areas you need quickly. That means it’s an intermediate course – there’s no “Python syntax basics” or “what is a REST API” filler. It’s right into FastAPI and very much “we’re all adults here”, with references and additional reading for those who want to go deep down the rabbit hole. That doesn’t mean I gloss over important details, quite the opposite.
The whole course is entirely project-based and will take you through all the key elements of a production-ready FastAPI application:
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Endpoint Basics
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Working with Pydantic
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Error Handling
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Serving HTML with Jinja2 Templates
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Working with a Database (SQLite and Postgres) via ORM (SQLAlchemy) & DB migrations (alembic)
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How to Structure Your FastAPI Projects for Production
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Setting Up Auth (JWT)
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Unlocking Async Performance
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FastAPI’s Dependency Injection Framework + Testing
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Working with Frontends (React)
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Dockerizing FastAPI
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Deployment
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Sending emails via Background Tasks
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Setting up logging for production
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Other FAQ
Everything is taught through an example project which has 100% code coverage on github.
You will build a realistic web application, including an integrated React frontend. You will also learn how to deploy it.
If you’ve used Flask, Django, Pyramid etc. and want to quickly get up to speed with FastAPI then this course is ideal for you. It will also well-suit those who have used Ruby on Rails, Spring Boot, ExpressJS, CakePHP or other web development frameworks and know Python basics.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Intro
Lecture 2: Course Curriculum
Lecture 3: Course Requirements – *Do not skip*
Lecture 4: Course Codebase and Lecture Notes
Chapter 2: FastAPI Basics – Path Parameters
Lecture 1: Managing Dependencies with Poetry
Lecture 2: Clone the course project repo
Lecture 3: [WINDOWS ONLY] – Poetry Installation and Usage
Lecture 4: Hello World with FastAPI
Lecture 5: API Path Parameters
Chapter 3: FastAPI Basics – Query Parameters
Lecture 1: API Query Parameters
Chapter 4: FastAPI & Pydantic
Lecture 1: Using Pydantic Schemas with FastAPI
Chapter 5: Error Handling
Lecture 1: Error Handling
Chapter 6: Using Jinja2 Templates with FastAPI
Lecture 1: Serving HTML with Jinja2 Templates
Chapter 7: Adding a Database
Lecture 1: Database Theory
Lecture 2: FastAPI & SQLAlchemy – DB Models
Lecture 3: Data Access Layer
Lecture 4: [WINDOWS ONLY] – Prestart script
Lecture 5: DB Migrations with Alembic
Lecture 6: Bringing it all Together in the API Endpoints
Chapter 8: Structuring FastAPI Projects for Production
Lecture 1: An Extensible Project Structure
Chapter 9: FastAPI Async Capabilities
Lecture 1: Async Theory
Lecture 2: Hands-on Async Example
Chapter 10: Auth with JSON Web Tokens (JWTs)
Lecture 1: Auth Theory
Lecture 2: Creating users
Lecture 3: Setting up logins
Chapter 11: Dependency Injection in FastAPI (i.e. FastAPI Depends)
Lecture 1: Dependency Injection Theory
Lecture 2: Dependency Injection Hands-on Example
Lecture 3: [Optional] – Pytest Refresher
Lecture 4: Dependency Injection & Testing
Chapter 12: FastAPI Integration with a modern Frontend (React)
Lecture 1: Frontend Architecture Overview
Lecture 2: Frontend Codebase Overview
Lecture 3: React Homepage Code
Lecture 4: React FastAPI Auth
Lecture 5: React Profile Code
Chapter 13: Deploying FastAPI with Docker
Lecture 1: Introduction
Lecture 2: [OPTIONAL: Docker Basics Recap]
Lecture 3: Uvicorn & Gunicorn for Production Deployment
Lecture 4: Dockerizing FastAPI and Running Locally
Lecture 5: Deploying the Dockerized Backend to Heroku
Lecture 6: Deploying the Frontend to Heroku
Chapter 14: Adding Realism – Emails, Background Tasks and Logging
Lecture 1: Intro to Mailgun and demo
Lecture 2: Email sending code
Lecture 3: Updating the Config
Lecture 4: Adding a Background Task
Lecture 5: Setting up logging
Chapter 15: FAQ and Troubleshooting
Lecture 1: FAQs
Lecture 2: Troubleshooting
Chapter 16: Final Section
Lecture 1: Congratulations!
Instructors
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Christopher Samiullah
Machine Learning Engineer
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 5 votes
- 3 stars: 6 votes
- 4 stars: 28 votes
- 5 stars: 55 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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