Skip to content

arpit456jain/30-days-of-GCP-Full-Guide-And-Resources

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

57 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

This project is part of Hacktoberfest'21

Hacktoberfest

30-days-of-GCP-Full-Guide-And-Resources


What is 30 Days of Google Cloud?

30 Days of Google Cloud program will provide you an opportunity to kickstart your career in cloud and get hands-on practice on Google Cloud - the tool that powers apps like Google Search, Gmail and YouTube.

Along the way, you will learn & practice concepts like computing, application development, big data & machine learning using cloud & if you get stuck, you will have your "Campus Facilitators" who are specially trained on Google Cloud to help.

For More Infprmation checkout the Official Website

First Make a New Account on Qwiklabs

If you have completed any quest before , then do not use that account and mail , make a new account with a new mail id on qwiklabs.

Tracks

Track 1: Cloud Engineering Track

  1. Skill Badge: Getting Started: Create and Manage Cloud Resources

  2. Skill Badge: Perform Foundational Infrastructure Tasks in Google Cloud

  3. Skill Badge: Setup and Configure a Cloud Environment in Google Cloud

  4. Skill Badge: Deploy and Manage Cloud Environments with Google Cloud

  5. Skill Badge: Build and Secure Networks in Google Cloud

  6. Skill Badge: Deploy to Kubernetes in Google Cloud

Track 2: Data Science & Machine Learning Track

  1. Skill Badge: Getting Started: Create and Manage Cloud Resources

  2. Skill Badge: Perform Foundational Data, ML, and AI Tasks in Google Cloud

  3. Skill Badge: Insights from Data with BigQuery

  4. Skill Badge: Engineer Data in Google Cloud

  • Creating a Data Transformation Pipeline with Cloud Dataprep video solution
  • Building an IoT Analytics Pipeline on Google Cloud video solution
  • ETL Processing on Google Cloud Using Dataflow and BigQuery video solution
  1. Skill Badge: Integrate with Machine Learning APIs
  • Introduction to APIs in Google video solution
  • Extract, Analyze, and Translate Text from Images with the Cloud ML APIsvideo solution
  • Classify Text into Categories with the Natural Language API video solution
  • Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API video solution
  • Entity and Sentiment Analysis with the Natural Language API video solution
  • Awwvision: Cloud Vision API from a Kubernetes Cluster video solution
  • Integrate with Machine Learning APIs: Challenge Lab video solution
  1. Skill Badge: Explore Machine Learning Models with Explainable AI
  • AI Platform: Qwik Start video solution
  • Using the What-If Tool with Image Recognition Models video solution
  • Identifying Bias in Mortgage Data using Cloud AI Platform and the What-if Tool video solution
  • Compare Cloud AI Platform Models using the What-If Tool to Identify Potential Bias video solution
  • Explore Machine Learning Models with Explainable AI: Challenge Lab video solution

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. They will record your progress on a daily basis and will evaluate it at the end of the program i.e. 27th October 11:59 PM IST.

You will receive more information on how to avail your Google Cloud goodies after the program ends ONLY if you are eligible for prizes.

Prize #1 - Complete any one track - Track 1 or Track 2

Prize #1 - Complete any one track - Track 1 or Track 2 You can earn the prize* given below by completing all the labs and getting all skill badges that are part of either of the given tracks in the program syallabus i.e. Cloud Engineering Track or Data Science and Machine Learning Track.

Note: Only the skill badge completions after your enrolment date will be counted. Any skill badges completed before that won't be taken into account for this.

Rewards for completing any one track


Prize #2: Complete both the tracks

You can earn the prize* given alongside by completing all the skill badges from both the tracks (Cloud Engineering Track and Data Science & Machine Learning Track) that are part of the program.

Note: This prize is not in addition to the above mentioned prizes on completing individual tracks.


Rewards for completing both Tracks

show some love by giving star to this repo.

About

No description or website provided.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published