Google Cloud Functions (FaaS) with Python from zero to hero!




Google Cloud Functions (FaaS) with Python from zero to hero!

Cloud Functions are one of the most useful things you can learn this year! Have you heard of APIs? Well, it can be difficult to deploy them and actually use them if you don’t have experience in this topic, but fortunately, Cloud Functions are just like APIs but better! You can execute backend code without having to worry about scaling or managing our servers.

AWS? Azure? GCP?

It doesn't matter.

We will be using GCP in this course, but the platform is not the important thing here. Rather, we focus on the process of constructing Cloud Functions and using best practices to deploy them.

And furthermore, we are going to use one of the simplest yet most powerful programming languages of all times: Python!

It can’t get better.

In this crash course, you will learn lots of things like:

  • Implement Google Cloud Functions in Python

  • Use an environment, version control system (Git & Github) and adding meaningful documentation (Markdown)

  • Test Cloud Functions locally

  • Deploy Cloud Functions from the terminal

  • Test deployed Cloud Functions with Postman

  • Add basic securities (Bearer token) to Cloud Functions

  • Manage CORS to Cloud Functions to fetch them from the Browser

  • Schedule Cloud Functions

  • Delete Cloud Functions

I hope you learn a lot in this course and enjoy as much as I enjoyed doing it!

Functions as a Service (FaaS) with Python can't be easier. Master the basics of how to deploy Cloud Functions now!

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What you will learn
  • Implement Google Cloud Functions in Python
  • Use an environment, version control system (Git & Github) and adding meaningful documentation (Markdown)
  • Test Cloud Functions locally

Rating: 4.55556

Level: All Levels

Duration: 2.5 hours

Instructor: David Armendáriz


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