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.
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 57
- Quizzes 0
- Exercises 0
- Duration 12 total hours
- Skill level Beginner Level
- Students 17775
- Last Updated October, 2023
Understanding the Basics of the Python Flask Framework and its Workflow
Understanding and Implementing a Simple REST API
Docker
MongoDB
Project: Database as a Service Restful API
Project: Building a Restful API for Similarity Check using Natural Language Proc
Project: Building an Image Recognition Restful API using Tensorflow and Deeplear
Project: Building a Restful API to handle Bank Transactions
Deploying Restful API into AWS EC2 Instance
[ARCHIVED]: Project: Building an Image Recognition Restful API using Tensorflow
Extra Information - Source code, and other stuff
1 month ago
Horatiu Judea
great
1 month ago
Trevor Loveland
Very good structure. I get sick of all these other courses which are simply screen recordings of writing in code. I felt drawing diagrams to explain things really helped. There's a lot of this course that I already knew, but going through this course has really helped me fully understand what I already know (if that makes sense?)
2 months ago
Anurag Mishra
good as of now
2 months ago
Mpho Rafutho
explains in details for each project and shows working examples of how to run the codes.
2 months ago
Seif Gad
Super exciting, loved it !
4 months ago
Nova Tagle
Aside from the manner of presenting the thoughts, everything is very useful and very informative.
5 months ago
Elipeddi Harshavardhan
good teaching and in nice way that we can understand easily and he is teaching in very simple way
6 months ago
Arjdal
Soooooooo Clear
6 months ago
Vincent Ma
This course provides a wonderful introduction of REST APIs, both the theory and the usage. We can learn the full picture of a deployable AI application (spacy for NLP, tensorflow for CV), with backend support by flask and MongoDB, containerization by Docker, and cloud deployment by AWS EC2. Such engineering skills are sometimes a machine learning/data science practitioner lacks to implement a real-world project. I think this course cannot teach you the whole tech stack of the modern MLOps practices that you need other courses to cover, but it is a great starting point that provides you an end-to-end framework that you can easily transfer to your project to "embed" your algorithm/model inside a software that only exposes the API to the users. I also suggest learning Swagger and OpenAPI, or FastAPI, if you want to enhance the quality of your API documentation.
6 months ago
Daniel Alfredo Cruz Varilla
It is usefully.
