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

Google Cloud Functions (FaaS) with Python from zero to hero!, available at $54.99, has an average rating of 4.5, with 36 lectures, based on 226 reviews, and has 1816 subscribers.

You will learn about 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 Learn to use the Sendgrid API Learn to use the Firebase SDK This course is ideal for individuals who are Python developers or Cloud architects or Software developers in general or Backend developers or Frontend developers or Fullstack developers It is particularly useful for Python developers or Cloud architects or Software developers in general or Backend developers or Frontend developers or Fullstack developers.

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

Summary

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

Price: $54.99

Average Rating: 4.5

Number of Lectures: 36

Number of Published Lectures: 36

Number of Curriculum Items: 36

Number of Published Curriculum Objects: 36

Original Price: $19.99

Quality Status: approved

Status: Live

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
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
Learn to use the Sendgrid API
Learn to use the Firebase SDK

Who Should Attend

Python developers
Cloud architects
Software developers in general
Backend developers
Frontend developers
Fullstack developers

Target Audiences

Python developers
Cloud architects
Software developers in general
Backend developers
Frontend developers
Fullstack developers

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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction and recommendations

Lecture 2: Creating a project in Google Cloud

Lecture 3: Installing Git (Windows, Linux, MacOS)

Lecture 4: Join the Discord community!

Lecture 5: Adding our project to a GitHub Repo

Lecture 6: Creating a new branch, creating a virtual environment and adding requirements

Lecture 7: source in Windows

Lecture 8: Committing our changes

Lecture 9: The repo for this course

Chapter 2: Our first Cloud Function

Lecture 1: Writing and testing our first Cloud Function

Lecture 2: Installing Postman

Lecture 3: Passing multiple arguments and passing JSON to our Cloud Function

Lecture 4: Installing the Google Cloud SDK

Lecture 5: Deploying our first Cloud Function to GCP

Chapter 3: Sending mails from a Cloud Function

Lecture 1: Sender Identity Verification

Lecture 2: Using Sendgrid to write our second Cloud Function

Lecture 3: A note on environment variables for Windows users

Lecture 4: Testing our Sendgrid Cloud Function

Lecture 5: Adding basic securities to our Cloud Function

Lecture 6: Improving the way we get the Bearer token

Lecture 7: Other options for securing our Cloud Functions

Lecture 8: Deploying our Sendgrid Cloud Function with environment variables

Chapter 4: Dealing with CORS

Lecture 1: Understanding why CORS is blocking our Cloud Functions

Lecture 2: What exactly is CORS?

Lecture 3: Committing our changes before we continue

Lecture 4: Adding pycache to .gitignore

Lecture 5: Adding CORS to our Cloud Functions

Lecture 6: Using cURL to test our Cloud Functions

Chapter 5: Scheduling our Cloud Functions

Lecture 1: Creating a Firestore database and adding Google credentials to our project

Lecture 2: Writing and testing a Cloud Function with the Firebase SDK for Python

Lecture 3: Deploying our Cloud Function to GCP

Lecture 4: Committing our changes

Lecture 5: Scheduling our Cloud Functions with Google Scheduler

Lecture 6: CRON expressions

Chapter 6: Deleting Cloud Functions

Lecture 1: Deleting Cloud Functions

Chapter 7: Conclusion

Lecture 1: Conclusion

Instructors

David Armendáriz
Mathematician & Software Developer

Rating Distribution

1 stars: 3 votes
2 stars: 8 votes
3 stars: 29 votes
4 stars: 69 votes
5 stars: 117 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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