In this blog, I will discuss How to Create Python Development Environment In the Google Cloud Platform.

Creating and Connecting to a Virtual Machine

  • In the GCP Console go to Navigation Menu >Compute Engine> VM Instance.


In this article, we will go through the lab to Explore Machine Learning Models with Explainable AI: Challenge Lab. In the previous, lab you will get familiar with AI Platform: Qwik Start, Using the What-If Tool with Image Recognition Models, Identifying Bias in Mortgage Data using Cloud AI Platform and the What-if Tool, and Compare Cloud AI Platform Models using the What-If Tool to Identify Potential Bias.

The challenge contains 4 required tasks

  1. Start a JupyterLab Notebook Instance.
  2. Download the Challenge Notebook.
  3. Build and Train your Models.
  4. Deploy Model to AI Platform.

Challenge scenario

You are a curious coder who wants to…


In this article, we will go through the lab to Integrate with Machine Learning APIs: Challenge Lab. In the previous, lab you will get familiar with Introduction to APIs in Google, Extract, Analyze, and Translate Text from Images with the Cloud ML APIs, Classify Text 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, and Awwvision: Cloud Vision API from a Kubernetes Cluster.

The challenge contains 5 required tasks

  1. Grant the service account admin privileges for BigQuery and Cloud Storage.
  2. Create and download…


This article will go through the lab to Scale-Out and Update a Containerized Application on a Kubernetes Cluster. This lab is similar to Build and Deploy a Docker Image to a Kubernetes Cluster.

The challenge contains 4 required tasks.

  1. Check that there is a tagged image in gcr.io for echo-app:v2.
  2. Echo-app:v2 is running on the Kubernetes cluster.
  3. The Kubernetes cluster deployment reports 2 replicas.
  4. The application must respond to web requests with V2.0.0.

Challenge Scenario

You are taking over ownership of a test environment and have been given an updated version of a containerized test application to deploy. Your systems’ architecture team…


This article will go through the lab to Create ML Models with BigQuery ML: Challenge Lab. In the previous, lab you will get familiar with Getting Started with BQML, Predict Visitor Purchases with a Classification Model in BQML, Predict Taxi Fare with a BigQuery ML Forecasting Model, Bracketology with Google Machine Learning, and Implement a Helpdesk Chatbot with Dialogflow & BigQuery ML.

The challenge contains 5 required tasks.

1.Create a dataset to store your machine learning models.

2.Create a forecasting BigQuery machine learning model.

3.Create the second machine learning model.

4.Evaluate the two machine learning models.

5.Use the subscriber type…


This article will go through the lab to Automate Interactions with Contact Center AI: Challenge Lab. In the previous, lab you will get familiar with Design Conversational Flows for your Agent, Building Virtual Agent Fulfillment, Adding a Phone Gateway to a Virtual Agent, and Dialogflow Logging and Monitoring in Operations Suite.

The challenge contains 8 required tasks.

  1. Create a Regional Cloud Storage bucket.
  2. Create a Cloud Function.
  3. Create a BigQuery dataset.
  4. Create a Pub/Sub topic.
  5. Create a Regional Cloud Storage bucket with the DFaudio folder.
  6. Deploy Dataflow pipeline.
  7. Process the sample audio files.
  8. Run a Data Loss Prevention Job.

Challenge Scenario

Your…


In this article, I will walk you through How we can Run Windows Containers on Compute Engine. Before going to the implementation part you should familiar with Container, VM, and Docker.

For this, I had already written a blog you can check here for Container related and Compute Engine.

When people discuss containers, they usually mean Linux-based containers. But Microsoft has introduced support for Windows-based containers in Windows Server 2016 and Windows 10. Take existing Windows applications, containerized them by using Docker, and run them on Windows as an isolated container. There are two flavors of Windows containers: Hyper-V and…


In this article, we will go through the lab to Optimize Costs for Google Kubernetes Engine: Challenge Lab. In the previous, lab you will get familiar with Managing a GKE Multi-tenant Cluster with Namespaces, Exploring Cost-optimization for GKE Virtual Machines, Understanding and Combining GKE Autoscaling Strategies, and GKE Workload Optimization

The challenge contains 4 required tasks

  1. Create a cluster and deploy an app.
  2. Migrate to an Optimized Nodepool.
  3. Apply a Frontend Update.
  4. Autoscale from Estimated Traffic.

Challenge Scenario

  • You are the lead Google Kubernetes Engine admin on a team that manages the online shop for OnlineBoutique.
  • You are ready to deploy your…


In this article, we will go through the lab to Build and Optimize Data Warehouses with BigQuery: Challenge Lab. In the previous, lab you will get familiar with Creating a Data Warehouse Through Joins and Unions,
Creating Date-Partitioned Tables in BigQuery, Troubleshooting and Solving Data Join Pitfalls, Working with JSON, Arrays, and Structs in BigQuery, and Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.

The challenge contains 6 required tasks.

  1. Create a table partitioned by date.
  2. Correctly add appropriate columns to a table.
  3. Populate the population column.
  4. Populate the country_area column.
  5. Populate the mobility STRUCT.
  6. Query missing…


In this article, we will go through the lab to Insights from Data with BigQuery. In the previous, lab you will get familiar with Introduction to SQL for BigQuery and Cloud SQL, BigQuery, Troubleshooting Common SQL Errors with BigQuery, Big Data Analysis to a Slide Presentation, and Explore and Create Reports with Data Studio.

The challenge contains 9 required tasks.

  1. Total Confirmed Cases
  2. Worst Affected Areas
  3. Identifying Hotspots
  4. Fatality Ratio
  5. Identifying specific day
  6. Finding days with zero net new cases
  7. Doubling rate
  8. Recovery rate
  9. CDGR — Cumulative Daily Growth Rate

Challenge Scenario

You’re part of a public health organization that is tasked…

Mayank Chourasia

I am Google Cloud Certified Associate Cloud Engineer and MS Azure Certifed. I have been working on different fields including Cloud Computing , Sap ABAP.

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