Google Cloud Platform, offered by Google, is a suite of cloud computing services. It provides Infrastructure as a Service, Platform as a Service, and serverless computing environments. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning.
This repository provides a deployment guide showcasing the application of Google Cloud's generative AI for marketing scenarios. It offers detailed, step-by-step guidance for setting up and utilizing the generative AI tools, including examples of their use in crafting marketing materials like blog posts and social media content.
Google App Engine Standard Java runtime: Prod runtime, local devappserver, Cloud SDK Java components, GAE APIs, and GAE API emulators.
C++ Client Libraries for Google Cloud Services
My personal project for data engineering zoomcamp
MEAN Stack Portfolio Project
A GitHub Action for deploying services to Google Cloud Run.
Detection and Classification of various tomato diseases
Code Samples and Recipes for Google Cloud Service Extensions
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
Accessing Hetereogenous Cloud APIs with a Unified In-process Golang Library
Pubsub2Inbox is a versatile, multi-purpose tool to handle Pub/Sub messages and turn them into email, API calls, GCS objects, files or almost anything.
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
💸 Calculate estimated monthly costs of Google Cloud Platform products and resources via YAML files and CLI program (Linux, macOS, Windows)
Terraform-Managed DigitalOcean/GKE Kubernetes Cluster
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
YouTube video release tracker, using Google Cloud Platform API / YouTube API V3.
Released April 7, 2008