Google Cloud Functions (FaaS) with Python from zero to hero!
Learn to implement Google Cloud Functions in Python and deploy them easily. This crash course covers testing, security, CORS management, and more. Perfect for Python developers and software engineers.
What you’ll 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
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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!
Who this course is for:
- Python developers
- Cloud architects
- Software developers in general
- Backend developers
- Frontend developers
- Fullstack developers
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