Introduction to FastAPI and Its Applications APIs are commonly used to manage data on the web, and FastAPI is a popular new web framework for building APIs with Python.
Introduction to FastAPI and Its Applications APIs are commonly used to manage data on the web, and FastAPI is a popular new web framework for building APIs with Python. Data and Machine Learning Engineers leverage FastAPI to build applications that serve as context-aware data transactions and pipelines on the web. Building Production-Grade Web Applications with FastAPI In this course, you will learn how to build production-grade web applications leveraging your Python skills with the FastAPI framework. By the end, you’ll understand core use cases for FastAPI in relation to other Python web frameworks. You’ll learn to build APIs using all four types of HTTP operations and define request and response schemas. In addition, you’ll validate API requests, respond with appropriate HTTP status codes and messages, and execute code asynchronously to improve application performance. A hands-on project will guide you through building a classical CRUD (Create, Read, Update, Delete) API, testing workflows using Python's requests module. Course Goals and Target Audience This course is designed for experienced Python programmers who want to build web applications that manage data using FastAPI. Upon completing this course, you will have the foundation necessary to create FastAPI projects suited for high-throughput data management and ML model-serving pipelines.
Introduction to FastAPI and Its Applications APIs are commonly used to manage data on the web, and FastAPI is a popular new web framework for building APIs with Python. Data and Machine Learning Engineers leverage FastAPI to build applications that serve as context-aware data transactions and pipelines on the web. Building Production-Grade Web Applications with FastAPI In this course, you will learn how to build production-grade web applications leveraging your Python skills with the FastAPI framework. By the end, you’ll understand core use cases for FastAPI in relation to other Python web frameworks. You’ll learn to build APIs using all four types of HTTP operations and define request and response schemas. In addition, you’ll validate API requests, respond with appropriate HTTP status codes and messages, and execute code asynchronously to improve application performance. A hands-on project will guide you through building a classical CRUD (Create, Read, Update, Delete) API, testing workflows using Python's requests module. Course Goals and Target Audience This course is designed for experienced Python programmers who want to build web applications that manage data using FastAPI. Upon completing this course, you will have the foundation necessary to create FastAPI projects suited for high-throughput data management and ML model-serving pipelines.
