30 Days Of Google Cloud Challenge Labs

Repository Contains 30 Days of Google Cloud program quest [ CloudEngineering/DataScience-MachineLearning ] Challenge Lab Steps

**Please try the challenge labs all by yourself and only take help from here if you really get stuck.

Solutions to the Cloud Engineering Track

1. Getting Started: Create and Manage Cloud Resources: Challenge Lab
2. Perform Foundational Infrastructure Tasks in Google Cloud: Challenge Lab
3. Setup and Configure a Cloud Environment in Google Cloud: Challenge Lab
4. Deploy and Manage Cloud Environments with Google Cloud: Challenge Lab
5. Build and Secure Networks in Google Cloud: Challenge Lab
6. Deploy to Kubernetes in Google Cloud: Challenge Lab

Solutions to the Data Science & Machine Learning Track

1. Getting Started: Create and Manage Cloud Resources: Challenge Lab
2. Perform Foundational Data, ML, and AI Tasks in Google Cloud: Challenge Lab
3. Insights from Data with BigQuery
4. Engineer Data in Google Cloud
5. Integrate with Machine Learning APIs
6. Explore Machine Learning Models with Explainable AI: Challenge Lab

Reference 🖇

• [Program Syllabus] 30 Days of Google Cloud Program Syllabus Page
• [Getting Started] Google Cloud Docs
• Google Cloud Blog
• [Article] Migration to Google Cloud Platform (GCP)