30 days of Google Cloud Prgram

This repository contains the solution of certain labs mentioned in the syllabus here

Track 1: Cloud Engineering Track

S. No.	Lab	Solution
1.	Getting Started: Create and Manage Cloud Resources	Creating a Virtual Machine Getting Started with Cloud Shell and gcloud Kubernetes Engine: Qwik Start Set Up Network and HTTP Load Balancers Create and Manage Cloud Resources: Challenge Lab
2.	Perform Foundational Infrastructure Tasks in Google Cloud	Cloud Storage: Qwik Start - Cloud Console Cloud IAM: Qwick Start Cloud Monitoring: Qwick Start Cloud Functions: Qwick Start - Console Google Cloud Pub/Sub: Qwick Start - Console Perform Foundational Infrastructure Tasks in Google Cloud: Challenge Lab
3.	Setup and Configure a Cloud Environment in Google Cloud	Cloud IAM: Qwick Start Introduction to SQL for BigQuery and Cloud SQL Multiple VPC Networks Cloud Monitoring: Qwick Start Managing Deployments Using Kubernetes Engine Set Up and Configure a Cloud Environment in Google Cloud: Challenge Lab
4.	Deploy and Manage Cloud Environments with Google Cloud	Orchestrating the Cloud with Kubernetes Continuous Delivery Pipelines with Spinnaker and Kubernetes Engine Multiple VPC Networks Troubleshooting Workloads on GKE for Site Reliability Engineers Deploy and Manage Cloud Environments with Google Cloud: Challenge Lab
5.	Build and Secure Networks in Google Cloud	User Authentication: Identity-Aware Proxy Multiple VPC Networks VPC Networks - Controlling Access HTTP Load Balancer with Cloud Armor Create an Internal Load Balancer Build and Secure Networks in Google Cloud: Challenge Lab
6.	Deploy to Kubernetes in Google Cloud	Introduction to Docker Kubernetes Engine: Qwik Start Orchestrating the Cloud with Kubernetes Managing Deployments Using Kubernates Engine Continuous Delivery with Jenkins in Kubernetes Engine Deploy to Kubernetes in Google Cloud: Challenge Lab

Track 2: Data Science & Machine Learning Track

S. No.	Lab	Solution
1.	Getting Started: Create and Manage Cloud Resources	Creating a Virtual Machine Getting Started with Cloud Shell and gcloud Kubernetes Engine: Qwik Start Set Up Network and HTTP Load Balancers Create and Manage Cloud Resources: Challenge Lab
2.	Perform Foundational Data, ML, and AI Tasks in Google Cloud	Cloud Storage: Qwik Start - Cloud Console Cloud IAM: Qwick Start Cloud Monitoring: Qwick Start Cloud Functions: Qwick Start - Console Google Cloud Pub/Sub: Qwik Start - Command Line Perform Foundational Data, ML, and AI Tasks in Google Cloud: Challenge Lab
3.	Insights from Data with BigQuery	Introduction to SQL for BigQuery and Cloud SQL BigQuery: Qwik Start - Command Line Exploring Your Ecommerce Dataset with SQL in Google BigQuery Troubleshooting Common SQL Errors with BigQuery Explore and Create Reports with Data Studio Insights from Data with BigQuery: Challenge Lab
4.	Engineer Data in Google Cloud	Creating a Data Transformation Pipeline with Cloud Dataprep Building an IoT Analytics Pipeline on Google Cloud ETL Processing on Google Cloud Using Dataflow and BigQuery Predict Visitor Purchases with a Classification Model in BQML Predict Housing Prices with Tensorflow and AI Platform Cloud Composer: Copying BigQuery Tables Across Different Locations Engineer Data in Google Cloud: Challenge Lab
5.	Integrate with Machine Learning APIs	Introduction to APIs in Google Extract, Analyze, and Translate Text from Images with the Cloud ML APIs Classify Text into Categories with the Natural Language API Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API Entity and Sentiment Analysis with the Natural Language API Awwvision: Cloud Vision API from a Kubernetes Cluster Integrate with Machine Learning APIs: Challenge Lab
6.	Explore Machine Learning Models with Explainable AI	AI Platform: Qwik Start Using the What-If Tool with Image Recognition Models dentifying Bias in Mortgage Data using Cloud AI Platform and the What-if Tool Compare Cloud AI Platform Models using the What-If Tool to Identify Potential Bias Explore Machine Learning Models with Explainable AI: Challenge Lab