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

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

Gain insights into building REST APIs with FastAPI, explore parallel processing in Python, and discover how to deploy APIs on Microsoft Azure with a CI/CD pipeline using GitHub.

Intermediate

43 Lessons

2h 30min

Certificate of Completion

Gain insights into building REST APIs with FastAPI, explore parallel processing in Python, and discover how to deploy APIs on Microsoft Azure with a CI/CD pipeline using GitHub.

AI-POWERED

Explanations

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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

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Course Content

1.

Overview of the Course

Get familiar with building and deploying Python-based REST APIs on Microsoft Azure.
2.

Building Blocks of an API in Python

Unpack the core of building REST APIs using Python, including requests, responses, and concurrency.
4.

Optical Character Recognition API Using Tesseract - Project 1

Grasp the fundamentals of creating, implementing, and optimizing an OCR API using Tesseract and FastAPI.
5.

Cloud and Microsoft Azure Services

Gain insight into cloud computing, Microsoft Azure services, App Service, Cognitive Services, and Git basics.
6.

Text Analytics API Using Azure Cognitive Services - Project 2

4 Lessons

Tackle sentiment analysis, key phrase extraction, and API implementation using Azure Cognitive Services.
8.

Appendix

2 Lessons

Get familiar with installing FastAPI, Tesseract, and Pytesseract for OCR operations.

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

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