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 46
- Quizzes 0
- Exercises 0
- Duration 10.5 hours
- Skill level Beginner Level
- Students 1624
- Last Updated October, 2018
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
Bonus Material
2 weeks ago
Paolo
Everything is very precise. Speaker is pleasant.
1 month ago
Hajar
Excellent course !
1 month ago
Craig Aronoff
Can you provide an update for how to SSH using perm key file via Windows and Putty?
1 month ago
GL S
Perfect!
1 month ago
Eric Gu
This course is very interesting. I think the instructor has a lot of real world experience and exposes a lot of cutting edge processes and technology like Tensorflow and NoSQL dbs. The way I rate Udemy courses is how they depart from toy tutorials. This course is 90% there. The beginning is very strong in how the author approaches his explanation of docker and development workflow. He continues a steady pace and quality through image recognition and the step by step increase in complexity is deliberate and of high quality I think the weakest part of the course is deployment. This course could be improved if it added some tests and properly fleshed out a deployment workflow using continuous integration. Manually installing dependencies on 1 lone ec2 server is very poor practice. It goes against the spirit of using container technology because the dependencies are already declared. 1 ec2 server is also not great for the case of redundancy. I would recommend the instructor to revise the deployment lecture to increase the quality to match the development side.
2 months ago
Ivan Datko
Video seems well presented, and shows exact steps what to do.
2 months ago
Rasmi
I really like this course, everything is so clearly explained.
2 months ago
Scott Gordon
Instruction is clear and easy to follow so far. Instructor is good at explaining concepts. Would like more hands on coding. Hopefully that is coming later in the course.
2 months ago
Jacopo Agagliate
The course so far is quite interesting, I hope to learn lots more as I go through the next lessons.
2 months ago
Harsh Rawat
The was very helpful although there should be more practice exercising for making it more challenging and interesting There should also be quizzes and assignments for each course.
