MIT Sloan AI Adoption: Build a Playbook That Drives Real Business ROI
Become an AI & ML Engineer with Cal Poly EPaCE — IBM-Certified Training
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Learn how to enhance developer productivity using PyCharm Professional and Google Cloud Code in this comprehensive 58-minute tutorial. Explore the process of remote development, from installing the necessary SDK and Cloud Code plugin to deploying applications on Google Kubernetes Engine. Master the art of writing APIs with Django Rest Framework, set up a Google Kubernetes Engine, and learn to run apps in GKE. Dive into advanced topics such as Cloud Domains, Ingress, ManagedCertificate, and Frontend Config. The tutorial concludes with a bonus section on Cloud Run, providing a well-rounded understanding of cloud-based development workflows. Gain insights into automating tasks, improving developer workflow, and enhancing debugging capabilities to optimize your Python development process on the Google Cloud Platform.
Syllabus
Introduction - 0:00 -
Installing SDK & Cloud Code Plugin - 3:12 -
Project Setup - 6:53 -
Writing APIs using DRF - 12:56 -
Setting up Google Kubernetes Engine - 25:46 -
Running Apps in GKE - 33:25 -
Cloud Domains - 45:16 -
Ingress, ManagedCertificate & Frontend Config - 48:15 -
Deploying App - 52:15 -
Bonus: Cloud Run - 54:47 -
Taught by
PyCharm by JetBrains