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This repository will help you track your progress in 30 Days of Google Cloud program

30DaysofGoogleCloud

Program Timeline: 27th September to 27th October 2021

Follow the below steps to track your progress!!

📍 Step 1: Fork and star this repository. (You can see the fork option in the top-right corner.)

📍 Step 2: You will be redirected to your own copy of this repo.

📍 Step 3: You can edit the file in your own copy as per your progress.

-> Change [ ] to [x] to check the checkboxes and track your progress throughout the program timeline.


* Track 1: Cloud Engineering Track

  • [ ] Getting Started: Create and Manage Cloud Resources: link
    • [ ] A Tour of Qwiklabs and Google Cloud
    • [ ] 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
  • [ ] Perform Foundational Infrastructure Tasks in Google Cloud: link
    • [ ] Cloud Storage Qwik Start - Cloud Console
    • [ ] Cloud IAM: Qwik Start
    • [ ] Cloud Monitoring: Qwik Start
    • [ ] Cloud Functions: Qwik Start - Console
    • [ ] Google Cloud Pub/Sub: Qwik Start - Console
    • [ ] Perform Foundational Infrastructure Tasks in Google Cloud: Challenge Lab
  • [ ] Setup and Configure a cloud environment in Google Cloud: link
    • [ ] Cloud IAM: Qwik Start
    • [ ] Introduction to SQL for BigQuery and Cloud SQL
    • [ ] Multiple VPC Networks
    • [ ] Cloud Monitoring: Qwik Start
    • [ ] Managing Deployments Using Kubernetes Engine
    • [ ] Set Up and Configure a cloud environment in Google Cloud: Challenge Lab
  • [ ] Deploy and Manage Cloud environments with Google Cloud: link
    • [ ] 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
  • [ ] Build and Secure Networks in Google Cloud: link
    • [ ] 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
  • [ ] Deploy to Kubernetes in Google Cloud: link
    • [ ] Introduction to Docker
    • [ ] Kubernetes Engine: Qwik Start
    • [ ] Orchestrating the Cloud with Kubernetes
    • [ ] Managing Deployments Using Kubernetes Engine
    • [ ] Continuous Delivery with Jenkins in Kubernetes Engine
    • [ ] Deploy to Kuberenetes in Google Cloud: Challenge Lab

* Track 2: Data Science and Machine Learning Track

  • [ ] Getting Started: Create and Manage Cloud Resources: link
    • [ ] A Tour of Qwiklabs and Google Cloud
    • [ ] 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
  • [ ] Perform Foundational Data, ML and AI Tasks in Google Cloud: link
    • [ ] AI Platform: Qwik Start
    • [ ] Dataprep: Qwik Start
    • [ ] Dataflow: Qwik Start - Templates
    • [ ] Dataproc: Qwik Start - Console
    • [ ] Cloud Natural Language API: Qwik Start
    • [ ] Google Cloud Speech API: Qwik Start
    • [ ] Video Intelligence: Qwik Start
    • [ ] Perform Foundational Data, ML and AI Tasks in Google Cloud: Challenge Lab
  • [ ] Insights from Data with BigQuery: link
    • [ ] Introduction to SQL for BigQuery and Cloud SQL
    • [ ] BigQuery: Qwik Start - Console
    • [ ] 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
  • [ ] Engineer data in Google Cloud: link
    • [ ] 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
  • [ ] Integrate with Machine Learning APIs: link
    • [ ] 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
  • [ ] Explore Machine Learning Models with Explainable AI: link
    • [ ] What is the What-If Tool?
    • [ ] Getting Started with the What-If Tool
    • [ ] AI Platform: Qwik Start
    • [ ] Using the What-If Tool with Image Recognition Models
    • [ ] Using the What-if Tool Performance & Fairness Features
    • [ ] Identifying 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

Best Wishes folks !! #30DaysOfGoogleCloud