30DaysofGoogleCloud
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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