Build a REST API Using Python and Deploy it to Microsoft Azure

Build a REST API Using Python and Deploy it to Microsoft Azure

This course enables developers to build a Microsoft Azure REST API in Python using the FastAPI framework.

Intermediate

43 Lessons

2h 30min

Certificate of Completion

This course enables developers to build a Microsoft Azure REST API in Python using the FastAPI framework.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

1 Assessment
27 Playgrounds

This course includes

1 Assessment
27 Playgrounds

Course Overview

In this course, you will learn how to build a REST API using a lighter web framework for Python, i.e., FastAPI. You will learn the basics of FastAPI and learn how to implement parallel processing in Python APIs. Finally, you will deploy your API on Microsoft Azure and build a Continuous Integration/Continuous Development (CI/CD) Pipeline using Github.

TAKEAWAY SKILLS

Python

Api

Rest Api

Fastapi

What You'll Learn

Understand the concept of an API

Learn about FastAPI Python web framework

Learn to implement Optical Character Recognition

Learn and understand different services provided by Azure

Get familiarized with Git and GitHub

Build and Deploy an API to Microsoft Azure App Services

What You'll Learn

Understand the concept of an API

Show more

Course Content

1.

Overview of the Course

The course introduces learners to building web APIs using Python, featuring projects and Azure deployment, while emphasizing steady, hands-on learning.
2.

Building Blocks of an API in Python

In this chapter, you'll cover REST API basics, request-response structures, sync vs async apps, concurrency, parallel programming, and async features in Python.
4.

Optical Character Recognition API Using Tesseract - Project 1

The chapter focuses on developing an Optical Character Recognition API using Tesseract and FastAPI, emphasizing image processing and optimization techniques.
5.

Cloud and Microsoft Azure Services

In this chapter, you'll cover cloud computing fundamentals, Microsoft Azure and its services, Cognitive Services, Application Insights, and basic Git commands.
6.

Text Analytics API Using Azure Cognitive Services - Project 2

4 Lessons

The chapter focuses on implementing Azure's Text Analytics API, covering sentiment analysis, key phrase extraction, and integration within a REST API.
8.

Appendix

2 Lessons

In this chapter, you'll cover installation guidance for FastAPI and Tesseract OCR which are essential for setting up a REST API.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI-Powered Mock Interviews

Adaptive Learning

Explain with AI

AI Code Mentor

FOR TEAMS

Interested in this course for your business or team?

Unlock this course (and 1,000+ more) for your entire org with DevPath