The document provides information about the #30DaysofGoogleCloud program, which is a 30-day program held each October that allows students to complete hands-on labs and skill badges on Google Cloud Platform. It discusses the program agenda and structure, eligibility requirements, prizes for completing tracks and milestones, registration process and timeline, and FAQs. The program consists of two tracks - Cloud Engineering and Data Science & Machine Learning - each with 6 skill badges to complete. Students can showcase their skill badges and experience benefits and prizes by finishing labs within their allotted credits on the Qwiklabs platform.
2. Agenda of the Session
● What is the #30DaysofGoogleCloud?
● Eligibility
● Benefits
● Prizes
● Timeline
● Registration Form Details
● How to Begin?
● Program’s Syllabus
● General Queries
● Q & A
3. What is the #30DaysGoogleCloud?
Google Cloud in collaboration with Developer Students Club (DSC) provides an
opportunity to students to start their journey in cloud programming with hands-on
labs on Google Cloud Platform. As the name suggests, it is a 30 days program
that takes place in October every year. It consists of several skill badges that you
need to complete within a stipulated time.
6. ● You need to have access to a working internet
connection & a laptop with the latest chrome
browser.
● You need to be above 18 years of age and
enrolled in a higher education institution in
India.
● If you do not have GDSC in your college you can
register through GDSC Bhilai Institute of
Technology Durg.
8. Benefits
● You can showcase the skill badges that you’ve
earned through this program and can document
your experience and how it has upskilled your
learning in the field of the cloud.
● And on top of everything, the reason that we all
got attracted, are the amazing goodies from
Google.
10. #Prize1:You can earn the prize by just completing all the labs and getting all skill badges that are part of
the Cloud Engineering Track.
#Prize2: You can earn the prize by just completing all the labs and getting all skill badges that are part of
the Data Science and Machine Learning Track.
11. #Bonus Prize: You can earn the prize 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.
12. Timeline of the Campaign
● Registration of this campaign will start from 22 sept. 2021 at 5:00pm via
google form. (first come first serve)
● Campaign will start from 27th of sept and ends on 27th of Oct.
13. Registration form details
● The registration form will be up on the website on 22nd
September 2021 at 5.00 pm IST and will last till the moment
Google receives 50k registrations from all over India.
● The process of filling registration form consists of 3 Steps.
● Each step is discussed in detail in next slides.
● We’ll be releasing a video on “How you should proceed with the form”.
Stay tuned for that.
15. Step 1: Create an account on Qwiklabs
1. Open an incognito window.
2. Go to https://google.qwiklabs.com/
3. Possibilities
16. Step 2: Public Profile
● Log in to https://google.qwiklabs.com.
● Once completed, go to - https://google.qwiklabs.com/my_learning
● Click on "View Public Profile" on the top right corner and then "Make
profile public" if there's a pop-up.
● Now copy the browser URL below. (That's your profile URL)
17. Step 3: Email with further steps
● You'll then receive a mail regarding your enrolment which will
contain a code and a URL, go to that URL, enter the code and
submit.
● Now Sign in again with google and click on your profile at the
right top corner, you’ll be able to see 9 credits. After this in
order to get a monthly subscription for completing your labs,
you’ll need to attempt a lab called “A tour of Qwiklabs and
Google Cloud '' for at least 5 minutes.
● Demo
18. Step 4: Fill the Google Form
● Enter your general details in the Google Form.
● Enter your Public profile of Qwiklabs labs.(make sure its
correct).
● All Done!!
20. Track 1: Cloud Engineering - It consists of 6 skill badges.
1. Getting Started: Create & Manage Cloud Resources.
2. Perform Foundational Infrastructure Tasks in Google
Cloud.
3. Setup & Configure Cloud Environments in Google Cloud.
4. Deploy & Manage Cloud Environments with Google Cloud.
5. Build & Secure Networks in Google Cloud.
6. Deploy to Kubernetes in Google Cloud.
21. Track 2: Data Science and Machine Learning Track - It also consists of
6 skill badges.
1. Getting Started: Create & 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.
22. What to do when you are stuck?
If you at some point of time unable to understand what
to do next while performing a lab, all you need to do is
access the chat support available right there, or you
can email them at dscsupport@qwiklabs.com .
23. Two things that panic the participants are:
1. Expiration of Quota
2. Blocking of an account
25. ● Any Lab completed before this campaign will not be counted. As soon as you
enroll and get the monthly subscription, you can start with the challenge
● You are not allowed to make changes or edit your registration. Therefore fill
the form carefully.
● It’s better to specify that email-id in the form with which you’ll be completing
the labs.
● You can start performing the Labs once you receive the monthly subscription
● Don’t forget to check your Spam and Promotions section.
● The form will be available for a short period of time make sure you be quick
with that but in hurry do not commit mistakes.
What is a Qwiklab skill badge?
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment.
On average, there are 6 labs in each skill badge. That makes it a total of 30-35 labs and at the end of each skill badge, you will need to give a test based on your learning so far.