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We have folks from
&
What is 30 Days of Google Cloud?
30 Days of Google Cloud program will provide you an
opportunity to kickstart your career in the 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 the cloud.
What is Cloud Computing?
Program's Syllabus
The program will introduce you to Computing, Application
Development, Big Data & Machine Learning using Google
Cloud's training platform called Qwiklabs where you will
learn each of these topic using self-paced labs that
provides you temporary credentials to Google Cloud, so
you can learn the cloud using the real thing – no
simulations.
Cloud Engineering Track
Data Science & Machine Learning Track.
For convenience, we have divided the topics
above into 2 different tracks -
Track 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
Track 2: Data Science & Machine Learning Track
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
1.
2.
3.
4.
5.
6.
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 syllabus
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.
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 previous-mentioned prizes on completing
individual tracks.
Tour of Qwicklabs
bit.ly/gccc-site
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. We 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.
QnA
Ask us on the WhatsApp Groups or
Discord.
QnA
Ask us on comment box!

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Info Session: 30 Days of Google Cloud

  • 1.
  • 2. We have folks from &
  • 3. What is 30 Days of Google Cloud? 30 Days of Google Cloud program will provide you an opportunity to kickstart your career in the 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 the cloud.
  • 4. What is Cloud Computing?
  • 5.
  • 6. Program's Syllabus The program will introduce you to Computing, Application Development, Big Data & Machine Learning using Google Cloud's training platform called Qwiklabs where you will learn each of these topic using self-paced labs that provides you temporary credentials to Google Cloud, so you can learn the cloud using the real thing – no simulations.
  • 7. Cloud Engineering Track Data Science & Machine Learning Track. For convenience, we have divided the topics above into 2 different tracks -
  • 8. Track 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
  • 9. Track 2: Data Science & Machine Learning Track 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 1. 2. 3. 4. 5. 6.
  • 10. 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 syllabus 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.
  • 11. 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 previous-mentioned prizes on completing individual tracks.
  • 13.
  • 14. 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. We 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.
  • 15. QnA Ask us on the WhatsApp Groups or Discord.
  • 16. QnA Ask us on comment box!