README.md

This repository contains the some important information related to 30 Days of Google Cloud program as well as some of the solutions to the Challenge Labs!

[UPDATE 29/10/2020]: All the solutions for challenge labs of the Data Science & Machine Learning Track & Cloud Engineering Track are uploaded.

Challenge Lab Solutions

These are the solutions to the Challenge Labs of the Cloud Engineering Track.

Please try the labs yourself and take help from here only if you get stuck.

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 Challenge Labs of 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: Challenge Lab
4. Engineer Data in Google Cloud: Challenge Lab
5. Integrate with Machine Learning APIs: Challenge Lab
6. Explore Machine Learning Models with Explainable AI: Challenge Lab

Resources

• [IMPORTANT] 30 Days of Google Cloud Program description page
• [IMPORTANT] Google Cloud Docs
• Google Cloud Blog
• [Article] Migration to Google Cloud Platform (GCP)

Program Syllabus

• Track 1: Cloud Engineering Track

  • Getting Started: Create and Manage Cloud Resources
  • Perform Foundational Infrastructure Tasks in Google Cloud
  • Setup and Configure a Cloud Environment in Google Cloud
  • Deploy and Manage Cloud Environments with Google Cloud
  • Build and Secure Networks in Google Cloud
  • Deploy to Kubernetes in Google Cloud

• Track 2: Data Science and Machine Learning Track

  • Getting Started: Create and Manage Cloud Resources
  • Perform Foundational Data, ML, and AI Tasks in Google Cloud
  • Insights from Data with BigQuery
  • Engineer Data in Google Cloud
  • Integrate with Machine Learning APIs
  • Explore Machine Learning Models with Explainable AI

Rules for availing the prizes

To earn prizes in the program, you need to complete either of the track!

See the tracks and the prizes associated with them below. Your progress is recorded on a daily basis and will be evaluate at the end of the program i.e. 5th November 11:59 PM IST.

You will receive another form in the last week of October for you to confirm the tracks that you have finished and reconfirm your t-shirt size and shipping address.

For more information refer here.

Support

• Email: [email protected]
• There is online chat support available 24/7 for Qwiklabs. Select the Department as "30 Days of Google Cloud"

License

Copyright (c) 2020 Souvik Biswas [Cloud Facilitator]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.