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Alfredo Deza

In this 2-hour hands-on course, you will build a web application with FastAPI. You will create routes to handle requests and responses, define request body models with validation, serve dynamic content, and run the API with Uvicorn. You will also leverage FastAPI's interactive OpenAPI docs to test endpoints and generate curl commands. By the end, you will have built and deployed a FastAPI web app using best practices for request handling, response validation, and documentation.

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What's inside

Syllabus

Project Overview
Here you will describe what the project is about...give an overview of what the learner will achieve by completing this project.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Supports newer learners in acquiring core skills for intermediate developers with hands-on exercises
Provides you with hands-on training, a common teaching method in industry
Enables you to build a portfolio immediately, which is often a strong requirement for employment

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to FastAPI framework with these activities:
Review Python Basics
Review the fundamentals of Python, including data types, control flow, and functions, to strengthen your foundation for FastAPI development.
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Show steps
  • Go through online tutorials or documentation
  • Solve coding exercises
  • Build a small Python project
FastAPI Resource Collection
Gather and organize resources such as articles, tutorials, and documentation related to FastAPI to create a valuable reference for your learning journey.
Browse courses on FastAPI
Show steps
  • Identify relevant resources
  • Organize and categorize the resources
  • Create a digital or physical compilation
  • Share your compilation with others
Explore FastAPI's documentation
Familiarize yourself with FastAPI's comprehensive documentation to enhance your understanding of its features and best practices.
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Show steps
  • Visit the FastAPI website and review the documentation.
  • Read the introductory material.
  • Explore the API reference and tutorials.
  • Experiment with the interactive code snippets.
  • Consider joining the community forum for support.
Nine other activities
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Show all 12 activities
FastAPI Study Group
Join or form a study group with fellow learners to discuss FastAPI concepts, share knowledge, and support each other's progress.
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Show steps
  • Find or create a study group
  • Set regular meeting times
  • Prepare topics for discussion
  • Actively participate and contribute
Practice defining request body models with validation
Solidify your understanding of request body models and validation by practicing with various examples.
Show steps
  • Create a FastAPI project.
  • Define a request body model with Pydantic.
  • Write a FastAPI route that handles POST requests.
  • Implement validation in the route handler.
  • Test the API using HTTPie or a similar tool.
Participate in a FastAPI study group
Collaborate with other students to reinforce your understanding, exchange ideas, and tackle challenges together.
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Show steps
  • Find a study group or create your own.
  • Meet regularly to discuss concepts and practice exercises.
  • Share resources and support each other.
  • Optionally, work on a group project.
  • Provide feedback and encourage one another's progress.
FastAPI Workshop
Attend a workshop focused on FastAPI to learn from experts, share knowledge, and develop your skills in a collaborative environment.
Browse courses on FastAPI
Show steps
  • Research and identify relevant workshops
  • Register and attend the workshop
  • actively participate and ask questions
  • Network with other participants
  • Follow up after the workshop
Build a simple CRUD application using FastAPI
Deepen your understanding of CRUD operations and FastAPI's capabilities by developing a fully functional application.
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Show steps
  • Design the data model.
  • Create FastAPI routes for each CRUD operation.
  • Implement database integration.
  • Test the API using Postman or a similar tool.
  • Optionally, add authentication and authorization layers.
Build a FastAPI API
Build a real-world FastAPI API to solidify your understanding of request handling, response validation, and documentation.
Browse courses on FastAPI
Show steps
  • Set up your development environment
  • Create a new FastAPI project
  • Define routes and request body models
  • Handle responses and validation
  • Deploy your API with Uvicorn
FastAPI Request and Response Exercises
Complete a set of exercises to practice handling requests, responses, and validation in FastAPI, reinforcing your understanding of these core concepts.
Browse courses on FastAPI
Show steps
  • Create a FastAPI app
  • Define routes and request body models
  • Handle responses and validation
  • Deploy your API with Uvicorn
Deploy your FastAPI application to a cloud platform
Gain practical experience in deploying your application to a production-like environment, ensuring scalability and accessibility.
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Show steps
  • Choose a cloud platform (e.g., AWS, Azure, GCP).
  • Create a virtual machine or container instance.
  • Configure your application for deployment.
  • Deploy your application to the cloud platform.
  • Test and monitor your deployed application.
Advanced FastAPI Development Techniques
Explore advanced techniques in FastAPI development, such as dependency injection, middleware, and testing, to enhance your skills and deepen your knowledge.
Browse courses on FastAPI
Show steps
  • Set up your development environment
  • Create a new FastAPI project
  • Implement dependency injection
  • Use middleware for request handling
  • Implement testing with FastAPI

Career center

Learners who complete Introduction to FastAPI framework will develop knowledge and skills that may be useful to these careers:
Web Developer
Web Developers use their programming skills to design, develop, and deploy websites and web applications. This course is a good fit for Web Developers, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help Web Developers to build more efficient and scalable web applications.
Software Engineer
Software Engineers apply engineering principles to design, develop, implement, and maintain software systems. This course is a good fit for Software Engineers, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help Software Engineers to build more efficient and scalable software systems.
Backend Developer
Backend Developers are responsible for the design, development, and maintenance of the backend of a web application. This course is a good fit for Backend Developers, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help Backend Developers to build more efficient and scalable backend systems.
DevOps Engineer
DevOps Engineers are responsible for the design, development, and maintenance of the infrastructure that supports web applications. This course is a good fit for DevOps Engineers, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help DevOps Engineers to build more efficient and scalable infrastructure for web applications.
Data Engineer
Data Engineers are responsible for the design, development, and maintenance of the systems that store and process data. This course is a good fit for Data Engineers, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help Data Engineers to build more efficient and scalable data systems.
Data Scientist
Data Scientists use their knowledge of data to solve business problems. This course is a good fit for Data Scientists, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help Data Scientists to build more efficient and scalable data-driven applications.
Product Manager
Product Managers are responsible for the design, development, and launch of new products and features. This course is a good fit for Product Managers, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help Product Managers to build more efficient and scalable products.
Marketing Manager
Marketing Managers are responsible for the design, development, and implementation of marketing campaigns. This course is a good fit for Marketing Managers, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help Marketing Managers to build more efficient and scalable marketing campaigns.
Business Analyst
Business Analysts are responsible for gathering, analyzing, and interpreting data to help businesses make better decisions. This course is a good fit for Business Analysts, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help Business Analysts to build more efficient and scalable tools for data analysis.
Project Manager
Project Managers are responsible for planning, organizing, and executing projects. This course is a good fit for Project Managers, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help Project Managers to build more efficient and scalable project management systems.
Sales Manager
Sales Managers are responsible for managing sales teams and driving revenue. This course is a good fit for Sales Managers, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help Sales Managers to build more efficient and scalable sales management systems.
Chief Technology Officer
Chief Technology Officers are responsible for the design, development, and implementation of information technology systems. This course is a good fit for Chief Technology Officers, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help Chief Technology Officers to build more efficient and scalable IT systems.
Information Security Analyst
Information Security Analysts are responsible for protecting information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course is a good fit for Information Security Analysts, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help Information Security Analysts to build more efficient and scalable security systems.
Database Administrator
Database Administrators are responsible for the design, development, and maintenance of database systems. This course is a good fit for Database Administrators, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help Database Administrators to build more efficient and scalable database systems.
Computer Systems Analyst
Computer Systems Analysts are responsible for the design, development, and implementation of computer systems. This course is a good fit for Computer Systems Analysts, as it provides them with the knowledge and skills to use the FastAPI framework to build web applications. The course covers topics such as creating routes, handling requests and responses, defining request body models with validation, serving dynamic content, and running the API with Uvicorn. This knowledge will help Computer Systems Analysts to build more efficient and scalable computer systems.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to FastAPI framework.
Classic guide to web development with Django. It covers all the essential topics, from basic concepts to advanced features. It great resource for learning how to use Django, which can be used in conjunction with FastAPI.
Collection of practical recipes for building RESTful web services. It covers a wide range of topics, from basic concepts to advanced features. It great resource for learning how to solve common problems when building RESTful APIs.
Gentle introduction to API design. It covers all the essential topics, from basic concepts to advanced features. It great resource for learning how to design and implement effective APIs.
Comprehensive guide to writing clean code. It covers all the essential topics, from basic concepts to advanced features. It great resource for learning how to write code that is easy to read, understand, and maintain.
Comprehensive guide to unit testing. It covers all the essential topics, from basic concepts to advanced features. It great resource for learning how to write tests that are effective, efficient, and maintainable.
Novel about IT, DevOps, and helping your business win. It great resource for learning how to improve the performance of your IT organization.

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