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

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

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El Farouk Yasser
(223 reviews)
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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.

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

Requirements

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

What you will 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

Who should attend

  • 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

Is available on google app?

Yes

Is available on ios?

Yes

Course Features

  • Lectures 46
  • Quizzes 0
  • Exercises 0
  • Duration 10.5 hours
  • Skill level Beginner Level
  • Students 2233
  • Last Updated November, 2018

  • Understanding the Basics of the Python Flask Framework and its Workflow 01:29:11

    • Lecture
      Downloading and Installing VirtualBox and Ubuntu 08:59
    • Lecture
      Installing Flask and Running a Hello World Program 06:52
    • Lecture
      Understanding the Web Cycle For Development 13:05
    • Lecture
      Revisiting Hello World Program And Explaining GETs 12:46
    • Lecture
      JSON, Examples of JSON, and JSON in Flask 19:31
    • Lecture
      GET and POST Requests + Response Structure 12:45
    • Lecture
      Downloading and Installing Postman 06:18
    • Lecture
      Handling POST Requests in Flask and Building a Mini API 08:55

  • Understanding and Implementing a Simple REST API 59:06

    • Lecture
      What is a RESTful API. 14:29
    • Lecture
      Restful API Resource Method Chart 10:06
    • Lecture
      Project 1, Building Restful API Part 1 17:23
    • Lecture
      Project 1, Building Restful API Part 2 17:08

  • Docker 50:13

    • Lecture
      What is Docker and Why Use it. 16:00
    • Lecture
      Downloading and Installing Docker and Docker-Compose 07:04
    • Lecture
      Dockerizing our First Application 27:09

  • MongoDB 02:01:25

    • Lecture
      What is a Database and MongoDB 12:14
    • Lecture
      MongoDB Introduction 21:35
    • Lecture
      Installing MongoDB on the Ubuntu Virtual Machine 04:36
    • Lecture
      Creating and Deleting Databases 16:38
    • Lecture
      Creating and Deleting Collections in MongoDB 17:53
    • Lecture
      Query Documents in MongoDB 17:23
    • Lecture
      Updating and Sorting and Limiting Documents in MongoDB 14:23
    • Lecture
      Building a Simple Application to Keep Track of Number of Users 16:43

  • Project: Database as a Service Restful API 56:54

    • Lecture
      Chart Protocol for New API Part 1 10:02
    • Lecture
      Building the Sentences API Part 2 29:01
    • Lecture
      Building the Sentences API Part 3 17:51

  • Project: Building a Restful API for Similarity Check using Natural Language Proc 01:12:20

    • Lecture
      Building a Similarity API Part 1 10:51
    • Lecture
      Building a Similarity API Docker-compose Structure Part 2 14:44
    • Lecture
      Building a Similarity API Registration Part 3 11:58
    • Lecture
      Building a Similarity API Detection of Similarity Part 4 15:48
    • Lecture
      Building a Similarity API Refilling Part 5 09:56
    • Lecture
      Building a Similarity API Testing the API Part 6 09:03

  • Project: Building an Image Recognition Restful API using Tensorflow and Deeplear 01:11:58

    • Lecture
      Building an Image Classification API Part 1 10:41
    • Lecture
      Building an Image Classification API, Project folders Part 2 08:28
    • Lecture
      Building an Image Classification API, Registration Part 3 09:34
    • Lecture
      Building an Image Classification API, Classification Function Part 4 25:43
    • Lecture
      Building an Image Classification API, refill functionality Part 5 08:07
    • Lecture
      Building an Image Classification API Testing Part 6 09:25

  • Project: Building a Restful API to handle Bank Transactions 01:04:40

    • Lecture
      Building a Bank API, Part 1 11:20
    • Lecture
      Building a Bank API, Part 2 28:29
    • Lecture
      Building a Bank API, Part 3 18:32
    • Lecture
      Building a Bank API, Part 4 06:19

  • Deploying Restful API into AWS EC2 Instance 32:11

    • Lecture
      Deploying 32:11

  • Bonus Material 02:18

    • Lecture
      Bonus - Please Watch! 00:48
    • Lecture
      Check out Our Other 36 Udemy Courses! 00:35
    • Lecture
      Source Codes 00:55
El Farouk Yasser
Double Major in Mathematics and Computer Science I am currently a Senior studying a Double Major in Mathematics and Computer Science, which are my main two passions. I have so many passions and interests. They include but are… View Profile
Tim Buchalka's Learn Programming Academy
Professional Programmers and Teachers - 323,000+ students The Learn Programming Academy was created by Tim Buchalka, a software developer with 35 years experience, who is also an instructor on Udemy, with over 335,000 students in his courses… View Profile

Student Feedback

4.3
223 Average ratings
49%
36%
13%
2%
1%

  • 14 hours ago

    Sawani Soman

    Great explanation! I'm now now comfortable with REST API's and mongodb. Thank you so much!

  • 1 week ago

    akh kash

    This was really helpful in helping me put the pieces together between Python , Docker , MongoDB, and flask - thats where i found the real value. I dont think many other courses help you with an end to end implementation. I also liked that the course content was digestible and lenght was a decent 10ish hours.

  • 4 weeks ago

    Mayssa L. Nogueira

    Very good

  • 4 weeks ago

    Regina Gurung

    Very good at explaining topics. I have not finished the course yet but so far it looks good. Perhaps need more examples.

  • 1 month ago

    Abhijeet Tiwari

    Although, I am not in position to rate anything this soon. But it looks good so far.

  • 1 month ago

    Satish Ananthanarayana

    yes

  • 1 month ago

    Ian D Jones

    My progress is exactly as advertised! Perfect

  • 1 month ago

    Hasifzulkifli Zulkifli

    I really love this course as it combines all the cutting edge technology to solve a single ML problem. Good job buddy! Looking forward for your next courses!

  • 2 months ago

    Paolo

    Everything is very precise. Speaker is pleasant.

  • 3 months ago

    Hajar

    Excellent course !

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