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

Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps, available at $79.99, has an average rating of 4.5, with 57 lectures, based on 2223 reviews, and has 19037 subscribers.

You will learn about 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 This course is ideal for individuals who are This course is suitable for those with basic skills, who wish to learn about Python web development or This course is ideal for those who wish to learn more about RESTful APIs or Anyone with an interest in database,DevOps, MongoDb and more It is particularly useful for This course is suitable for those with basic skills, who wish to learn about Python web development or This course is ideal for those who wish to learn more about RESTful APIs or Anyone with an interest in database,DevOps, MongoDb and more.

Enroll now: Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps

Summary

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

Price: $79.99

Average Rating: 4.5

Number of Lectures: 57

Number of Published Lectures: 57

Number of Curriculum Items: 57

Number of Published Curriculum Objects: 57

Original Price: $89.99

Quality Status: approved

Status: Live

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 APIs

Anyone with an interest in database,DevOps, MongoDb and more

Target Audiences

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 APIs

Anyone with an interest in database,DevOps, MongoDb and more

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

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

Instructors

Tim Buchalkas Learn Programming Academy
Professional Programmers and Teachers – 2M students

Faisal Memon
Entrepreneur | 80k+ students | Programming and Coding

Rating Distribution

1 stars: 46 votes

2 stars: 70 votes

3 stars: 267 votes

4 stars: 787 votes

5 stars: 1053 votes

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