This document describes a 30-day program for learning Google Cloud called #30DaysofGoogleCloud. The program includes two tracks - Cloud Engineering and Data Science & Machine Learning. Each track involves completing 6 skill badges that involve tasks like creating and managing cloud resources, deploying to Kubernetes, and exploring machine learning models. Completing the program earns a certificate of completion from Google along with skill badges and other rewards. The document provides background on cloud computing and an overview of Google Cloud Platform and how to interact with it.

1. Welcome to
#30DaysofGoogleClou
d

2. Congratulations
!

3. About
#30daysofGoogleCloud
What is
Cloud?
Perks of the Program
Walkthrough Qwiklabs and GCP
What we have under the hood for you!

4. #30DaysofGoogleCloud

6. Content of the Program
Track 1: Cloud Engineering
Track 2: Data Science & Machine Learning

7. 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 1: Cloud
Engineering

8. 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
5. Skill Badge: Integrate with Machine Learning APIs
6. Skill Badge: Explore Machine Learning Models with Explainable AI
Track 2: Data Science & Machine Learning

9. Rewards!
Certificate of completion by Google
+
Skill badges
+

10. And No Problem if you are a
beginner!

11. Cloud Computingis essentially the on-demand supply of computer system resources like data storage and computing
power over the Internet. A core concept in Cloud Computing is that the location of the service and other factors, like the hardware or operating system on which it is
running, is not relevant to the user.
Cloud:: space in the atmosphere?

12. Cloud Computing

13. How did we get here? Where are we going?

14. Cloud Computing has five fundamental characteristics

15. Types of cloud or deployment models

16. Cloud Architecture

17. Cloud Service Models

20. Why Google Cloud Platform?
• Google Cloud Platform enables developers to build, test, and deploy applications on
Google’s highly secure, reliable, and scalable infrastructure.
• It runs on the same infrastructure that Google
uses internally for its end-user products, such as
Google Search, Gmail, file storage, and YouTube
• Alongside a set of Cloud services It also provides
modular services like data storage, data analytics
and machine learning. cloud.google.co
m

21. There are four ways to interact with Google Cloud

22. Qwiklabs time!

23. Star Performer
Star Finisher
Star Mentor
Special
Badges
Exclusive Learning Material!
Exciting Quizzes

24. Congratulations you just passed
level 1

25. QnA!