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

Name: Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps
Rating: 4.4 (2384 reviews)

Learn Python coding with RESTful API's using the Flask framework. Understand how to use MongoDB, Docker and Tensor flow.

Created byTim Buchalka's Learn Programming Academy, Faisal Memon (EmbarkX)

Last updated 1/2026

English

What you'll learn

Have a deeper knowledge and understanding of core elements of web development using Python
Understand and be able to use the flask framework
Plan, build, setup and deploy a RESTful API to an Amazon EC2 instance
Make use of a NoSQL (MongoDB) Database
Build a machine-learning API using Tensorflow for image recognition

Course content

11 sections • 57 lectures • 12h 5m total length

Downloading and Installing VirtualBox and Ubuntu8:59
In this Lecture, we'll be downloading and installing virtual box as well as Ubuntu, and installing it to set up the environment
Installing Flask and Running a Hello World Program6:52
In this lecture, we will be installing flask framework, as well as writing and running a simple Hello World application to verify installation
Understanding the Web Cycle For Development13:05
In this lecture, we'll understand the basic workflow and cycle for web development
Revisiting Hello World Program And Explaining GETs12:46
In this lecture, we will be revisiting the hello world program from the last video, and explaining it further
JSON, Examples of JSON, and JSON in Flask19:31
In this lecture, we will explain what JSON is, and we will show several examples of JSON, and how to utilize JSON in flask
GET and POST Requests + Response Structure12:45
In this lecture, we'll explain what the HTTP1.1 Structure of GET and POST requests should be like
Downloading and Installing Postman6:18
In this lecture, we will download and install Postman, a tool used to test the POST handlers in Flask
Handling POST Requests in Flask and Building a Mini API8:55
In this lecture, we will show how to handle POST requests in flask, and how to utilize it to build a mini API to add two numbers

What is a RESTful API.14:29
In this lecture, we will explain what is a Restful API
Restful API Resource Method Chart10:06
In this lecture, we will explain what is a Resource Method Chart and how it helps us in desigining APIs
Project 1, Building Restful API Part 117:23
In this lecture, we will be building an API that supports several functionalities
Project 1, Building Restful API Part 217:08
In this lecture, we will be building an API that supports several functionalities

What is Docker and Why Use it.16:00
In this lecture, we will explain what is docker and docker-compose and why they are used
Note on Docker Installation0:31
Downloading and Installing Docker and Docker-Compose7:04
In this lecture, we will be explaining how to install docker and docker-compose on the Virtual machine
Dockerizing our First Application27:09
In this lecture, we will dockerize the API that we developed in a previous videos

What is a Database and MongoDB12:14
In this lecture, we will introduce the concept of a database and NOSQL MongoDB database
MongoDB Introduction21:35
In this lecture, we will introduce MongoDB services
Note on MongoDB installation2:27
Installing MongoDB on the Ubuntu Virtual Machine8:11
In this lecture, we will explain how to install MongoDB on the virtual machine
Creating and Deleting Databases16:38
In this lecture, we will explain how to create and delete databases in MongoDB
Creating and Deleting Collections in MongoDB17:53
In this lecture, we will explain how to create and delete a collection in MongoDB
Query Documents in MongoDB17:23
In this lecture, we will explain how to query documents in a collection in MongoDB to search for different documents
Updating and Sorting and Limiting Documents in MongoDB14:23
In thislecture, we will learn how to update and sort and limit documents when using the find function
Note on API to keep track of Number of Users0:37
Building a Simple Application to Keep Track of Number of Users18:14
In this lecture, we will build a simple API that keeps track of how many users visit out website

Chart Protocol for New API Part 110:02
In this lecture, we will build an API that acts as a Database as a service and stores sentences that the user wants to save in exchange for paying some tokens
Note on Sentences API0:27
Building the Sentences API Part 229:34
In this lecture, we will build an API that acts as a Database as a service and stores sentences that the user wants to save in exchange for paying some tokens
Building the Sentences API Part 317:51
In this lecture, we will build an API that acts as a Database as a service and stores sentences that the user wants to save in exchange for paying some tokens

Building a Similarity API Part 110:51
In this lecture, we will build an API that checks the similarity of two documents using a pretrained natural language processing model called vec2vec using the library space
Building a Similarity API Docker-compose Structure Part 214:44
In this lecture, we will build an API that checks the similarity of two documents using a pretrained natural language processing model called vec2vec using the library space
Building a Similarity API Registration Part 311:58
In this lecture, we will build an API that checks the similarity of two documents using a pretrained natural language processing model called vec2vec using the library space
Building a Similarity API Detection of Similarity Part 415:48
In this lecture, we will build an API that checks the similarity of two documents using a pretrained natural language processing model called vec2vec using the library space
Building a Similarity API Refilling Part 59:56
In this lecture, we will build an API that checks the similarity of two documents using a pretrained natural language processing model called vec2vec using the library space
Important: Similarity API Updated Source Code0:21
Building a Similarity API Testing the API Part 69:03
In this lecture, we will build an API that checks the similarity of two documents using a pretrained natural language processing model called vec2vec using the library space

Building a Bank API, Part 111:20
In this lecture, we will build an API that supports several banking services such as registering an account, adding some money to your account, transfering some money from one account to another, checking the balance of an account, taking a loan, and repaying a loan to the bank
Building a Bank API, Part 228:29
In this lecture, we will build an API that supports several banking services such as registering an account, adding some money to your account, transfering some money from one account to another, checking the balance of an account, taking a loan, and repaying a loan to the bank
Building a Bank API, Part 318:32
In this lecture, we will build an API that supports several banking services such as registering an account, adding some money to your account, transfering some money from one account to another, checking the balance of an account, taking a loan, and repaying a loan to the bank
Building a Bank API, Part 46:19
In this lecture, we will build an API that supports several banking services such as registering an account, adding some money to your account, transfering some money from one account to another, checking the balance of an account, taking a loan, and repaying a loan to the bank

Building an Image Classification API Part 110:41
In this lecture, we will build an API that does image recognition to see what's inside the image. The API will use tensorflow and a pretrained model that is based on deep learning to classify what an image is and how confident it is of this prediction. For example, the API is given a url to a panda image, and it predicts that this image has a panda inside of it
Building an Image Classification API, Project folders Part 28:28
In this lecture, we will build an API that does image recognition to see what's inside the image. The API will use tensorflow and a pretrained model that is based on deep learning to classify what an image is and how confident it is of this prediction. For example, the API is given a url to a panda image, and it predicts that this image has a panda inside of it
Building an Image Classification API, Registration Part 39:34
In this lecture, we will build an API that does image recognition to see what's inside the image. The API will use tensorflow and a pretrained model that is based on deep learning to classify what an image is and how confident it is of this prediction. For example, the API is given a url to a panda image, and it predicts that this image has a panda inside of it
Building an Image Classification API, Classification Function Part 425:43
In this lecture, we will build an API that does image recognition to see what's inside the image. The API will use tensorflow and a pretrained model that is based on deep learning to classify what an image is and how confident it is of this prediction. For example, the API is given a url to a panda image, and it predicts that this image has a panda inside of it
Important: Image Classification API Updated Source Code0:55
Building an Image Classification API, refill functionality Part 58:07
In this lecture, we will build an API that does image recognition to see what's inside the image. The API will use tensorflow and a pretrained model that is based on deep learning to classify what an image is and how confident it is of this prediction. For example, the API is given a url to a panda image, and it predicts that this image has a panda inside of it
Building an Image Classification API Testing Part 69:25
In this lecture, we will build an API that does image recognition to see what's inside the image. The API will use tensorflow and a pretrained model that is based on deep learning to classify what an image is and how confident it is of this prediction. For example, the API is given a url to a panda image, and it predicts that this image has a panda inside of it

Requirements

Basic knowledge of the Python programming language
Enthusiasm and a willingness to take your Python skills to the next level

Description

So you know a bit of Python and want to learn about RESTful API's and other cool technologies like Flask, Docker, MongoDB to name just a few?

Or maybe you just want to add web development Python skills to your resume.

Whatever the reason is, you have landed on the right page if you have an interest in taking your Python skills to the next level.

Why use Python for web development?

Coding in Python is simple, and a student with no prior knowledge can easily understand a line of code and its use - this means with only the basics, you can comfortably write a complete program.

Python has a great number of frameworks and tools to get you up and going fast with web development.

It's a great match - a powerful language with a great range of tools that you can put to use quickly.

Why choose this course?

You will be able to learn and understand how to design and implement RESTful API’s via the Flask framework.
Ever wanted to know what a NoSQL database is, and how to use one? You'll learn how to do that as well, using Python.
And what is Docker, and what does it mean to "dockerize" your apps? Yep, you guessed it, you will learn that as well in this course.
You'll even learn how to build a machine learning API using TensorFlow for image recognition.
Another hot topic is DevOps, and you will learn about that and go through the process of deploying a RESTful API on an Amazon EC2 instance.
In short, this course is designed to take your basic Python skills and take you to the next level in the shortest period of time.

What topics are covered in this course?

Understanding the Basics of the Python Flask Framework

Understanding and Implementing a REST API

Docker

MongoDB

Project: Database as a Service Restful API

Project: Building a Restful API for similarity check using Natural Language Processing

Project: Building an Image Recognition Restful API using Tensorflow and Deep Learning

Project: Building a Restful API to Handle Bank Transactions

Deploying Restful API into an AWS EC2 Instance

You'll come away with a firm understanding of how all the pieces work individually, and more importantly how they fit together.

This really is an all in one course to get you up to speed with these topics, fast.

Check permission.

This course requires you to download and use the software listed below. If you are a Udemy Business user, please check with your employer before downloading software.

Atom
Docker

Docker compose

Flask

Flask-restful

MongoDB
Postman

Ubuntu

vFlask

VirtualBox

What skills do you need?

The ideal student would be someone with a basic knowledge of Python who is eager to improve their skills. That's it!

Ready to start?

If you're ready to start the course, then click the enroll button to get started. We look forward to seeing you on the inside.o

Who this course is for:

This course is suitable for those with basic skills, who wish to learn about Python web development
This course is ideal for those who wish to learn more about RESTful API's
Anyone with an interest in database,DevOps, MongoDb and more

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

What you'll learn

Explore related topics

Course content

Understanding the Basics of the Python Flask Framework and its Workflow8 lectures • 1hr 29min

Understanding and Implementing a Simple REST API4 lectures • 59min

Docker4 lectures • 51min

MongoDB10 lectures • 2hr 10min

Project: Database as a Service Restful API4 lectures • 58min

Project: Building a Restful API for Similarity Check using Natural Language Proc7 lectures • 1hr 13min

Project: Building an Image Recognition Restful API using Tensorflow and Deeplear6 lectures • 1hr 31min

Project: Building a Restful API to handle Bank Transactions4 lectures • 1hr 5min

Deploying Restful API into AWS EC2 Instance1 lecture • 32min

[ARCHIVED]: Project: Building an Image Recognition Restful API using Tensorflow7 lectures • 1hr 13min

Requirements

Description

Who this course is for: