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

4.6

Intermediate

2h 30min

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.

Overview

Content

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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.

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 t...Show More

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

Understand the concept of an API

TAKEAWAY SKILLS

Python

API

REST API

FastAPI

Learning Roadmap

43 Lessons2 Quizzes1 Assessment

Overview of the Course

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

Introduction to the Course

Building Blocks of an API in Python

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

Introduction to REST APIs

Structure of a Request and Response

Synchronous vs. Asynchronous Web Apps

Concurrency vs. Parallel Programming

Async-Await in Python

Concurrent Programming in Python

Learn the Basics of FastAPI

10 Lessons

Go hands-on with FastAPI essentials, including API creation, documentation, parameters, and asynchronous tasks.

Optical Character Recognition API Using Tesseract - Project 1

5 Lessons

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

Cloud and Microsoft Azure Services

7 Lessons

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

Text Analytics API Using Azure Cognitive Services - Project 2

4 Lessons

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

Deploy the REST API on Microsoft Azure

8 Lessons

Master the steps to deploy a Python REST API to Microsoft Azure using CI/CD and logging.

Pop Quiz

Assessment

Appendix

2 Lessons

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

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Harsh Jain

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

Meet the Instructor

Harsh Jain

Software Engineer at Educative

Every Educative resource is designed by our team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who've shipped production code at scale and taught the theory behind it. No videos, no fluff.

Learn more about Harsh

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