The Complete FastAPI Course With OAuth & JWT Authentication
The Complete FastAPI Course With OAuth & JWT Authentication, available at $69.99, has an average rating of 4.44, with 57 lectures, 1 quizzes, based on 472 reviews, and has 2765 subscribers.
You will learn about Develop APIs quickly using FastAPI Learn to model data for providing API response Learn how to connect an API to a database Use SQLAlchemy to perform operations like create, read, update & delete data Make API requests to manipulate database data Send different status codes from an API Handle exceptions for invalid API requests Establish relationships between multiple data models Create metadata for API Use API router to modularise API routes Protect API routes using authentication mechanisms Generate JWT tokens to validate API requests This course is ideal for individuals who are Python developers who want to learn an efficient, modern and faster way to create a APIs or Developers who want to create performant APIs It is particularly useful for Python developers who want to learn an efficient, modern and faster way to create a APIs or Developers who want to create performant APIs.
Enroll now: The Complete FastAPI Course With OAuth & JWT Authentication
Summary
Title: The Complete FastAPI Course With OAuth & JWT Authentication
Price: $69.99
Average Rating: 4.44
Number of Lectures: 57
Number of Quizzes: 1
Number of Published Lectures: 57
Number of Published Quizzes: 1
Number of Curriculum Items: 58
Number of Published Curriculum Objects: 58
Original Price: $189.99
Quality Status: approved
Status: Live
What You Will Learn
- Develop APIs quickly using FastAPI
- Learn to model data for providing API response
- Learn how to connect an API to a database
- Use SQLAlchemy to perform operations like create, read, update & delete data
- Make API requests to manipulate database data
- Send different status codes from an API
- Handle exceptions for invalid API requests
- Establish relationships between multiple data models
- Create metadata for API
- Use API router to modularise API routes
- Protect API routes using authentication mechanisms
- Generate JWT tokens to validate API requests
Who Should Attend
- Python developers who want to learn an efficient, modern and faster way to create a APIs
- Developers who want to create performant APIs
Target Audiences
- Python developers who want to learn an efficient, modern and faster way to create a APIs
- Developers who want to create performant APIs
The Complete FastAPI Course: Build API with Python & FastAPI
Here Is What You Get By Enrolling In This Course:
Word-By-Word Explanation: In the entire course, I explain each line of code, without skipping a single line of code.
Awesome Quality Content: Over 5+ hours of HD(1080p) Videos.
Well Structured & Easy To Learn:Course has been specially designed to make it easy for the students to learn how to build APIs using FastAPI & Python.
24 X 7 Support: I will always be there to guide you in your journey to become a FastAPI expert.
Here Is A Brief Introduction About This Complete Course:
FastAPI is one of the most modern, fast and efficient framework for building APIs.
If you want to learn how to built high performance APIs then FastAPI should be your go to framework.
In this course we will learn FastAPI right from scratch and by then end of the course you will be able to build a complete API which supports authentication, JWT tokens, relational models and protected API routes.
This course is designed in a way that even a complete beginner can get started building APIs without even knowing what an API is.
We start off with the basics such as understanding what an API is and what purpose it serves.
We will then learn the different approaches/ frameworks to build APIs with Python and how they compare with FastAPI.
The entire course is divided into 8 sections as follows:
Section 1: Introduction & Installation.
This section covers what an API is and the purpose and API serves. We also jump into learning about the FastAPI framework and how it helps create high performance APIs in no time. We will also learn how to setup and install FastAPI framework in a virtual environment and will create our first and the most basic API.
Section 2: Path & Query Parameters
APIs accept queries in form of URL requests. In this section we learn what are path and query parameters and how they can be used for form a request body to make API calls. We learn how to program APIs in a way such that they respond as per the data sent to it from path and query parameters. We also learn how to use both the parameters simultaneously in a single API route.
Section 3: Models & Request Body.
While working with APIs we need a way to model data, be it request or response data. With FastAPI, we can use Pydantic models which allow us to create data models that can be used to define the structure of data. We learn how to create Pydantic models and use them inside API routes
Section 4: Connecting to the database.
In this section we learn how to establish a connection with the database. We will be using the SQLAlchemy library as on object relational mapper which maps tables into classes and table rows into objects, that way database data can be manipulated without having to write any SQL queries. We learn how to create SQLAlchemy models and later convert them into database tables at the backend. We use a tool called table plus to visualize database data.
Section 5: Performing CRUD operations.
Once the database connection is established, we then learn how to perform operations like create, read, update and delete on the database data. We create separate routes for each of these operations and also learn how to raise exceptions with HTTP error codes whenever the API receives an invalid request.
Section 6: Creating Multiple Models & Establishing Relationship.
After performing the database operations on a single model, we then learn how to create multiple models and establish a connection between them using a foreign key. We also learn how to securely store hashed passwords in a database using a library called Bcrypt. Along with it we also learn how to add metadata to our API and modify contents on the documentation page.
Section 7: Using API Router.
Writing modular code is always preferable when it comes to any software and same is the case with APIs as well. Using API routes, we can split different routes into multiple files so that the code becomes modular and maintainable. We learn how to use routers and split the main API code into separate modules using an API router.
Section 8: Authentication.
This section covers how to validate user credentials via an API route. Once the credentials are found to be valid, we then generate a JWT token for every logged in user. JWT tokens help us prevent access to API routes from unauthorized users. We learn how to create an assign JWT tokens to users so they can securely access API routes.
So let’s begin the journey of becoming an expert API developer.
In addition to the Udemy 30-day money back guarantee, you have my personal guarantee that you will love what you learn in this course. If you ever have any questions please feel free to message me directly and I will do my best to get back to you as soon as possible!
Make sure to enrol in the course before the price changes.
Take yourself one step closer towards becoming a professional API developer by clicking the “take this course button” now!
Join the journey.
Sincerely,
Ashutosh Pawar
Course Curriculum
Chapter 1: Introduction & Installation
Lecture 1: Introduction
Lecture 2: What is an API
Lecture 3: Introduction To FastAPI
Lecture 4: Installing FastAPI On Mac
Lecture 5: Installing FastAPI On Windows
Lecture 6: Creating A Simple API
Chapter 2: Path & Query Parameters
Lecture 1: Path Parameters
Lecture 2: Path Parameters With Type
Lecture 3: Automatic Documentation
Lecture 4: Ordering Of Routes
Lecture 5: Query Parameters
Lecture 6: Passing Default Values To Query Parameters
Lecture 7: Using Path & Query Parameters Simultaneously
Lecture 8: Required Query Parameters
Chapter 3: Request Body & Pydantic Models
Lecture 1: Request Body
Lecture 2: POST Method
Lecture 3: Pydantic Models With Request Body
Lecture 4: Using Model Inside A Function
Lecture 5: Passing Path & Query Parameters To Request
Lecture 6: Passing Multiple Models
Lecture 7: Defining Fields For Metadata
Lecture 8: Nesting Python DataTypes In A Model
Lecture 9: Nesting Pydantic Models
Lecture 10: Deeply Nested Models
Lecture 11: Providing Example Data
Lecture 12: Defining Example Data Using Fields
Lecture 13: Time Data Types
Lecture 14: Forms To Submit API Data
Chapter 4: Connecting To Database
Lecture 1: Introduction To Connecting To Database
Lecture 2: Creating A Project
Lecture 3: Creating A Connection
Lecture 4: Creating A Model
Lecture 5: Using Table Plus
Chapter 5: Performing CRUD Operations
Lecture 1: Adding Data To Database
Lecture 2: Fetching Products
Lecture 3: Deleting Products
Lecture 4: Creating A Route To Update Products
Lecture 5: Response Model
Lecture 6: HTTP Status Codes
Lecture 7: Raising Exceptions
Chapter 6: Creating Multiple Models & Establishing Relationships
Lecture 1: Creating Sellers
Lecture 2: Hashing Passwords
Lecture 3: Response Model For Seller
Lecture 4: Establishing Relationships Between Models
Lecture 5: Adding Metadata
Lecture 6: Using API Router
Lecture 7: Using Router For Sellers Routes
Lecture 8: Defining Tags & Prefix
Chapter 7: Authentication
Lecture 1: Introduction To Authentication With JWT
Lecture 2: Creating Login Route
Lecture 3: Logging In The User
Lecture 4: Significance Of JWT Token
Lecture 5: Utility Function To Create JWT Token
Lecture 6: Generating JWT Token
Lecture 7: Get Current User
Lecture 8: Protecting Routes
Chapter 8: Conclusion
Lecture 1: Course Conclusion
Instructors
-
Ashutosh Pawar
Python & Django Geek, Software Engineer, Entrepreneur.
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 5 votes
- 3 stars: 54 votes
- 4 stars: 177 votes
- 5 stars: 232 votes
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