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30days-of-gcp's Introduction

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

What we have covered in this repository ?

Short answer: All Challenge Labs easy to follow foot-steps that will go with you to get 100/100 in all Challenge Labs. ๐Ÿ’ฏ% Success with us! This is only meant for reference and learning purpose.

  1. CLOUD ENGINEERING TRACK
    1. Getting Started: Create and Manage Cloud Resources
    2. Perform foundational infrastructure tasks in Google Cloud
    3. Setup and Configure a Cloud Environment in Google Cloud
    4. Deploy and Manage Cloud Environments with Google Cloud
    5. Build and Secure Networks in Google Cloud
    6. Deploy to Kubernetes in Google Cloud
  2. DATA SCIENCE AND MACHINE LEARNING TRACK
    1. Getting Started: Create and Manage Cloud Resources
    2. Perform Foundational Data, ML and AI Tasks in Google Cloud
    3. Insights from Data with BigQuery
    4. Engineer Data in Google Cloud
    5. Integrate with Machine Learning APIs
    6. Explore Machine Learning Models with Explainable AI

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30days-of-gcp's People

Contributors

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30days-of-gcp's Issues

Fix minor error

The Cloud Engineering Track Quest 4 has a minor error where a comment appears like a command due to improper formatting.

Replace hard coded number

Remove hard-coded option number from Cloud Engineering Track Quest 1 as it might not be valid for everyone.

Changes in Readme

  • Remove the logo from the readme
  • Provide link to the program website
  • Remove the "why should I enroll" part as all these details can be viewed on the program website directly.

The aim of the repo is to help anyone trying to complete these labs for learning purposes, and not only specific to this 30 days program.

All TBDs removed and analyze-images.py file changed

Details

  1. Task 3rd & 4th are updated.
  • Task 3: Modify the application to save text from images to Cloud Storage
  • Task 4: Modify the application to translate text using the Language API
  1. `analyze-images.py file code updated to support above task changes. Just copy and paste the code.๐ŸŒŸ

Solution

  • solved via #38

Remove timeline

Remove timeline from the readme, since all these details can be viewed on the program website, where they are updated regularly.

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