Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps
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Understanding the Basics of the Python Flask Framework and its WorkflowDownloading and Installing VirtualBox and Ubuntu0sInstalling Flask and Running a Hello World Program0sUnderstanding the Web Cycle For Development0sRevisiting Hello World Program And Explaining GETs0sJSON, Examples of JSON, and JSON in Flask0sGET and POST Requests + Response Structure0sDownloading and Installing Postman0sHandling POST Requests in Flask and Building a Mini API0s
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Understanding and Implementing a Simple REST API
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Docker
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MongoDBWhat is a Database and MongoDB0sMongoDB Introduction0sNote on MongoDB installationInstalling MongoDB on the Ubuntu Virtual Machine0sCreating and Deleting Databases0sCreating and Deleting Collections in MongoDB0sQuery Documents in MongoDB0sUpdating and Sorting and Limiting Documents in MongoDB0sNote on API to keep track of Number of UsersBuilding a Simple Application to Keep Track of Number of Users0s
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Project: Database as a Service Restful API
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Project: Building a Restful API for Similarity Check using Nature Language ProcBuilding a Similarity API Part 10sBuilding a Similarity API Docker-compose Structure Part 20sBuilding a Similarity API Registration Part 30sBuilding a Similarity API Detection of Similarity Part 40sBuilding a Similarity API Refilling Part 50sImportant: Similarity API Updated Source CodeBuilding a Similarity API Testing the API Part 60s
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Project: Building an Image Recognition Restful API using Tensorflow and DeeplearBuilding an Image Classification API Part 10sBuilding an Image Classification API, Project folders Part 20sBuilding an Image Classification API, Registration Part 30sBuilding an Image Classification API, Classification Function Part 40sBuilding an Image Classification API, refill functionality Part 50sBuilding an Image Classification API Testing Part 60s
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Project: Building a Restful API to handle Bank Transactions
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Deploying Restful API into AWS EC2 Instance
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[ARCHIVED]:Project: Building an Image Recognition Restful API using TensorflowBuilding an Image Classification API Part 10sBuilding an Image Classification API, Project folders Part 20sBuilding an Image Classification API, Registration Part 30sBuilding an Image Classification API, Classification Function Part 40sImportant: Image Classification API Updated Source CodeBuilding an Image Classification API, refill functionality Part 50sBuilding an Image Classification API Testing Part 60s
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Extra Information – Source code, and other stuff
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
What's included
- 12 hours on-demand video
- 7 articles
- 5 downloadable resources
- Access on mobile and TV
- Certificate of completion