Mastering Google Cloud Platform (gcp) For Python Developers
Published 5/2025
Created by Parwiz Forogh
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 216 Lectures ( 17h 25m ) | Size: 11.2 GB
From beginner to deployment: Use Python to automate and deploy projects with Google Cloud's most powerful services.
What you'll learn
Deploy Django and Flask applications to Compute Engine, App Engine, and Cloud Run using GCP services.
automate IAM role creation, permissions, and service account tasks in GCP using Python.
Connect and manage Google Cloud SQL databases securely from Python applications.
Upload, read, and manage files in Google Cloud Storage using Python code.
Use GCloud CLI to provision, configure, and manage GCP resources from the terminal.
Create scalable, serverless Python APIs and deploy them using Google Cloud Run.
Set up a billing account and understand pricing and cost management on GCP.
Build a full-stack Django blog with Cloud SQL and deploy it to Google App Engine.
Understand and implement IAM best practices for secure access control in GCP.
Gain hands-on experience with real-world cloud projects using Python and GCP tools.
Requirements
Basic knowledge of Python programming is required.
A Google Cloud Platform (GCP) account is needed (free tier is sufficient to start)
Description
Are you a Python developer looking to take your skills to the cloud?In this hands-on course, you'll master Google Cloud Platform (GCP) and learn how to build, deploy and scale real-world applications using Python, Django, and Flask.This course is designed specifically for Python developers, backend engineers, and full-stack developers who want to use the power of Google Cloud services such as:Compute EngineCloud RunCloud SQLGoogle Cloud StorageApp EngineIdentity and Access Management (IAM)GCloud CLI toolsYou'll learn how to automate cloud tasks with Python, deploy web apps to virtual machines, serverless platforms, and managed services, and connect your applications to Cloud SQL databases and Cloud Storage buckets.We'll start from the basics, setting up a GCP account, billing, IAM roles, and permissions. and then move to advanced topics like deploying production ready apps with Python.By the end of this course, you'll confidently know how to:Set up and manage GCP resources using the GCloud CLIDeploy Django and Flask apps on Compute Engine, App Engine, and Cloud RunUse Python to interact with Cloud SQL and Cloud StorageAutomate IAM roles and permissionsLaunch scalable, secure, cloud-native applicationsThis course is packed with real-world projects and deployment scenarios that will help you build your cloud portfolio and prepare for cloud-based job roles.
Who this course is for
Ideal for backend or full-stack developers looking to gain hands-on experience deploying Django and Flask apps to the cloud.
Perfect for students or professionals transitioning into cloud development using Python and Google Cloud tools.
For anyone interested in learning how to use GCP services like Compute Engine, Cloud SQL, and Cloud Storage with Python.
Great for developers who want to build scalable, cloud-based APIs and web apps with minimal DevOps complexity.
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