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

Intermediate

2h 30min

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

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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

Content

43 Lessons2 Quizzes1 Assessment

Overview of the Course

1 Lessons

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

Introduction to the Course

Building Blocks of an API in Python

6 Lessons

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.

Introduction to FastAPI

Create First App Using FastAPI

Interactive API Docs - Feature of FastAPI

Path Parameters in FastAPI

Query Parameters in FastAPI

Default and Optional Query Parameters in FastAPI

Request Body in FastAPI

Implement Background Tasks in FastAPI

Implement API With Parallel Processing

FastAPI Quiz

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.

Tesseract and Pytesseract for OCR

Perform OCR Using Python

Implement OCR API Using FastAPI - 1

Implement OCR API Using FastAPI - 2

Implement OCR API Using FastAPI - 3

Cloud and Microsoft Azure Services

7 Lessons

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

Introduction to the Cloud

Introduction to Microsoft Azure and Its Basic Terminologies

Azure App Service

Azure Cognitive Services

Azure Application Insights

Basic Git Commands

Cloud and Microsoft Azure Quiz

Text Analytics API Using Azure Cognitive Services - Project 2

4 Lessons

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

Azure Text Analytics Cognitive API

Perform Sentiment and Key Phrase Extraction on Text

Implement the Azure Text Analytics Service - 1

Implement Azure Text Analytics Service - 2

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.

Push the API to Github

Create an App Service and Connect to Github for CI/CD

Check the GitHub Actions and Test the App Service

Create an Application Insights Resource

Implement Logging in API Using Application Insights

View the Logs in Application Insights

Check the CI/CD Pipeline and Test the Final API

Summary

Pop Quiz

Assessment

Appendix

2 Lessons

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

How can I Install FastAPI

How can I Install Tesseract and Pytesseract

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Harsh Jain

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