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.

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Explanations

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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

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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.
3

Learn the Basics of FastAPI

This chapter focuses on learning the basics of FastAPI, from creating your first app to implementing background tasks and parallel processing.
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.
7

Deploy the REST API on Microsoft Azure

8 Lessons

The chapter focuses on deploying a REST API to Microsoft Azure, emphasizing GitHub integration, CI/CD processes, and logging with Application Insights.

Pop Quiz

Assessment

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_

Emma Bostian 🐞

@EmmaBostian

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

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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