Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps

Course Curriculum

Chapter 1: Understanding the Basics of the Python Flask Framework and its Workflow

Lecture 1: Downloading and Installing VirtualBox and Ubuntu

Lecture 2: Installing Flask and Running a Hello World Program

Lecture 3: Understanding the Web Cycle For Development

Lecture 4: Revisiting Hello World Program And Explaining GETs

Lecture 5: JSON, Examples of JSON, and JSON in Flask

Lecture 6: GET and POST Requests + Response Structure

Lecture 7: Downloading and Installing Postman

Lecture 8: Handling POST Requests in Flask and Building a Mini API

Chapter 2: Understanding and Implementing a Simple REST API

Lecture 1: What is a RESTful API.

Lecture 2: Restful API Resource Method Chart

Lecture 3: Project 1, Building Restful API Part 1

Lecture 4: Project 1, Building Restful API Part 2

Chapter 3: Docker

Lecture 1: What is Docker and Why Use it.

Lecture 2: Note on Docker Installation

Lecture 3: Downloading and Installing Docker and Docker-Compose

Lecture 4: Dockerizing our First Application

Chapter 4: MongoDB

Lecture 1: What is a Database and MongoDB

Lecture 2: MongoDB Introduction

Lecture 3: Note on MongoDB installation

Lecture 4: Installing MongoDB on the Ubuntu Virtual Machine

Lecture 5: Creating and Deleting Databases

Lecture 6: Creating and Deleting Collections in MongoDB

Lecture 7: Query Documents in MongoDB

Lecture 8: Updating and Sorting and Limiting Documents in MongoDB

Lecture 9: Note on API to keep track of Number of Users

Lecture 10: Building a Simple Application to Keep Track of Number of Users

Chapter 5: Project: Database as a Service Restful API

Lecture 1: Chart Protocol for New API Part 1

Lecture 2: Note on Sentences API

Lecture 3: Building the Sentences API Part 2

Lecture 4: Building the Sentences API Part 3

Chapter 6: Project: Building a Restful API for Similarity Check using Natural Language Proc

Lecture 1: Building a Similarity API Part 1

Lecture 2: Building a Similarity API Docker-compose Structure Part 2

Lecture 3: Building a Similarity API Registration Part 3

Lecture 4: Building a Similarity API Detection of Similarity Part 4

Lecture 5: Building a Similarity API Refilling Part 5

Lecture 6: Important: Similarity API Updated Source Code

Lecture 7: Building a Similarity API Testing the API Part 6

Chapter 7: Project: Building an Image Recognition Restful API using Tensorflow and Deeplear

Lecture 1: Building an Image Classification API Part 1

Lecture 2: Building an Image Classification API, Project folders Part 2

Lecture 3: Building an Image Classification API, Registration Part 3

Lecture 4: Building an Image Classification API, Classification Function Part 4

Lecture 5: Building an Image Classification API, refill functionality Part 5

Lecture 6: Building an Image Classification API Testing Part 6

Chapter 8: Project: Building a Restful API to handle Bank Transactions

Lecture 1: Building a Bank API, Part 1

Lecture 2: Building a Bank API, Part 2

Lecture 3: Building a Bank API, Part 3

Lecture 4: Building a Bank API, Part 4

Chapter 9: Deploying Restful API into AWS EC2 Instance

Lecture 1: Deploying

Chapter 10: [ARCHIVED]: Project: Building an Image Recognition Restful API using Tensorflow

Lecture 1: Building an Image Classification API Part 1

Lecture 2: Building an Image Classification API, Project folders Part 2

Lecture 3: Building an Image Classification API, Registration Part 3

Lecture 4: Building an Image Classification API, Classification Function Part 4

Lecture 5: Important: Image Classification API Updated Source Code

Lecture 6: Building an Image Classification API, refill functionality Part 5

Lecture 7: Building an Image Classification API Testing Part 6

Chapter 11: Extra Information – Source code, and other stuff

Lecture 1: Source Codes

Lecture 2: Bonus Lecture and Information