2. Session
Agenda 5 min
1
What is Cloud?
2
Introduction to Qwiklabs
3
Hands-on experience with Qwiklabs
4
How to get help from Google?
5
Introduction to 30 Days of Google Cloud program
5 min
5 min
90 min
5 min
Task for this week & enroling students
6 10 min
3. Welcome
We are happy to see you here and
glad that you have been selected as
as the facilitator for 30 Days of
Google Cloud Program for your
institution.
8. Begin your journey to cloud
Kick-off Training Session
Get yourself trained on the
program’s content by earning
Qwiklabs skill badges.
9. Drive the success of your peers
30 Days of Google Cloud
Once trained on either of 2
tracks, onboard your peers and
help them start their journey to
cloud.
Cloud Engineering
Data Science &
Machine Learning
Kick-off Training Session
Get yourself trained on the
program’s content by earning
Qwiklabs skill badges.
10. Acquire exciting goodies, soft skills and more...
Get recognised for your efforts
You will receive a Certification of
Appreciation from Google and
yes a lot of Goodies!
30 Days of Google Cloud
Once trained on either of 2
tracks, onboard your peers and
help them start their journey to
cloud.
Cloud Engineering
Data Science &
Machine Learning
Kick-off Training Session
Get yourself trained on the
program’s content by earning
Qwiklabs skill badges.
11. Track 1: Cloud Engineering
Track 2: Data Science & Machine
Learning
Here are the 2 tracks
Now let’s go over the different tracks that we
have in the program on which you will be
trained first and then you have to train your
peers.
Contents of the program
12. Track 1: Cloud Engineering
Explore and deploy solution elements, including
infrastructure components such as networks, systems,
and applications services.
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
13. Track 2: Data Science &
Machine Learning
Learn & demonstrate proficiency in key data & ML topics
to prepare for roles in data, marketing & business.
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
14. Google Cloud Skill Badges
What is a skill badge?
An exclusive digital Google Cloud skill badge
demonstrates your growing Google Cloud
recognized skillset.
How do I earn a skill badge?
Show your cloud skills by completing a series
of hands on labs, including a final assessment
challenge lab, to test your skills and earn a Google
Cloud skill badge to share with your network.
Show us your skills
by earning all of them!
15. Google Cloud Skill Badges
Unlock deeper learning benefits with Skill Badges
Share your
accomplishments
Share your skill badges with your
network and on your resume.
Prove you have
in-demand skills
Take the challenge lab at the end to
prove that you have requires skills.
Gain hands-on
experience
Learn real-world skills on the
Google Cloud console using
Qwiklabs
16. How the program schedule would look like?
Program
Kick-o
ff
(26th Sep 2020)
Pick any 1 track from
where you want to begin,
complete either of the
tracks and conduct a
study jam for your peers -
give them a small intro,
how to get credits,
complete labs etc.
Student Enrolment
(26th Sep - 11th Oct)
After this kick off call, we
will also share resources to
ask students to enroll for
the program, get Qwiklabs
credits, earn skill badges
and prizes.
Drive Completions
(26th Sep - 31st Oct)
We would leave it upto you
on how you want to drive
the program - conduct
study jams, drop emails to
your peers, message them
etc. (Obviously we will be
here to support you!)
Get your goodies &
certificates
As soon as everything is
done, we will send you your
certificates and also goodies
to your and your peers!!
17. Milestones & Prizes
Audience Milestone Achieved Prizes*
Facilitators/Students Complete Cloud Engineering Track** Participation Certificate from Google + T-Shirt
+ Sticker pack
Facilitators/Students Complete Data Science & Machine Learning Track** Participation Certificate from Google + T-Shirt
+ Sticker pack
Facilitators/Students Complete both tracks - Cloud Engineering + data
Science & Machine Learning**
Participation Certificate from Google + 2
T-Shirts + Sticker pack + Laptop Bag
Facilitators Train/enrol at least 50 students from your campus and
they complete at least 1 track**
Appreciation Certificate from Google + 2
T-Shirts + Sticker pack + Laptop Bag + Hoodie +
more exciting prizes..
**You’ll only get rewards for the milestone that you achieve after enrolment date & not for the ones before that.
25. No need to manage your own infrastructure.
Use managed services instead.
Cloud
Storage
Cloud
Bigtable
Cloud
Datastore
Cloud
SQL
Cloud
Spanner
CustId
App
Engine
Container
Engine
User data
management
Payment etc.
API gateways
for other backend
apps
Application Data
Object data like
multimedia
High-volume or
semi-structured
data like streaming
or gaming data
Relational data
Application Logic
Integration with other
Google services
Google Maps, YouTube,
and more
Name
28. Use the campaign URL
that we sent to you via
email
1. Find the invitation email with subject:
“[30 days of Google Cloud]
Congratulations! You are now a
Facilitator!”
2. Find the bit.ly/gccc-fac-credits
campaign URL.
3. Copy & paste the URL in the
incognito window.
The URL will give you access to 600 credits to take labs on Qwiklabs.
29. Join or Sign into
Qwiklabs
In an Incognito/Private
browser window, go to:
https://google.qwiklabs.com/ .
Then click Join to create a new
account or Sign in to sign in to
an existing account.
If creating a new account,
remember to check the
Marketing Opt In box.
30. Start the A Tour of
Qwiklabs and the
Google Cloud
Platform Lab
Click on the “Start Lab” button
31. All Google Cloud Platform services are associated
with a project that is used to:
● Track resource and quota usage
● Enable billing
● Manage permissions and credentials
● Enable services and APIs
All GCP services you use are associated with
a project
32. Google Cloud Identity and Access
Management defines...
Who can do what on which resource
33. ● Regions: Collections of zones
○ Specific geographical locations
where you can run resources
○ Regions are interconnected
using Google’s global, meshed
backbone network
● Zones: Isolated deployment areas in a
region
Your resources can be regional, zonal, or in
some cases multi-regional.
You can launch cloud resources in different
regions for high availability and reliability
34. Verify now whether
you have the 600
credits
Click on avatar on top right
and make sure it says 600 or
600+ credits.
35. Need more help? There is 24/7
support available. Look at the bottom
right corner of your screen
Didn’t get the credits?
Troubleshoot!
● Be Patient, sometimes it takes time for the credits to be
provisioned.
● If you already have a Qwiklabs account and enrolled in the
Google Cloud Essentials quest before, please un-enroll in
the quest and then click the Enroll button again. Only
when you click the Enroll button & complete the 1st lab will
the credit be applied to your account.
● If you have already completed the Google Cloud
Essentials quest before this event, contact
dscsupport@qwiklabs.com and they will give you a
special code so you get your credit.
● If there any other problems, email
dscsupport@qwiklabs.com. The team there will respond
quickly.
38. Enroll in the Getting
Started: Create and
Manage Cloud
Resources
Quest
Click on the “Enroll in this
Quest” button
39. The quest has 6 labs.
We will go through 1 of
them together
as a group and you have to
take the rest yourself.
As said earlier, you need
credits to take these labs.
You can use your 600
credits to access these
labs.
Getting Started: Create and Manage Cloud Resources
Introductory 6 Steps 5 hours 13 Credits
In this introductory-level Quest, you will get hands-on practice with the
Google Cloud’s fundamental tools and services.
HANDS-ON LAB
A Tour of Qwiklabs and the Google Cloud Platform
HANDS-ON LAB
Creating a Virtual Machine
HANDS-ON LAB
Getting Started with Cloud Shell & gcloud
HANDS-ON LAB
Kubernetes Engine: Qwik Start
HANDS-ON LAB
Set Up Network and HTTP Load Balancers
HANDS-ON LAB
Getting Started: Create and Manage Cloud Resources:
Challenge Lab
40. LAB 1 WALKTHROUGH
Objectives
● Learn about Qwiklabs platform.
● Learn how to use Google Cloud
Platform console.
Lab 1: A Tour of Qwiklabs and Google Cloud
(Getting Started: Create and Manage Cloud Resources)
41. LAB 2 WALKTHROUGH
Lab 2: Creating a Virtual Machine
(Getting Started: Create and Manage Cloud Resources)
Objectives
● Create a virtual machine with
the Google Cloud Platform
Console.
● Create a virtual machine with
gcloud command line.
● Deploy a web server and
connect it to a virtual machine.
Compute Engine
42. A virtual machine is a software-based computer
Physical Computer Virtual Machines in a
Physical Computer
43. ● High CPU, high memory, standard and
shared-core machine types
● Persistent disks
● Standard, SSD, local SSD
● Snapshots
● Instance metadata and startup scripts
Compute Engine offers managed virtual
machines
44. Cloud Shell
LAB 3 WALKTHROUGH
Objectives
● Connect to computing
resources hosted on Google
Cloud Platform.
● Practice using gcloud
commands.
Lab 3: Getting Started with Cloud Shell & gcloud
(Getting Started: Create and Manage Cloud Resources)
45. Cloud Shell is a Debian-based virtual machine
which makes it easy for you to manage your
Cloud Platform projects and resources.
● Pre-installed Google Cloud SDK and
other tools
● 5 GB of persistent disk storage
Cloud Shell provides command-line access to
a virtual machine instance in a terminal
window that opens in the web console.
Cloud Shell and gcloud
46. LAB 4 WALKTHROUGH
Objectives
● Create a Kubernetes cluster.
● Deploy an application on the
cluster.
Google Kubernetes Engine
Lab 4: Kubernetes Engine: Qwik Start
(Getting Started: Create and Manage Cloud Resources)
47. My app works on my development machine but
breaks in production
Development Environment
● Nginx 1.15
● SQLite
Test and Production Environments
● Nginx 0.4
● MySQL
48. Deploy reliably with containers
Docker Container image
● Application binary
● Operating system
● Tools and libraries
Google Kubernetes Engine
● Kubernetes Engine is a managed
service for Kubernetes. It enables
rapid application development.
Google Container Registry
● Private Docker
repository for your
Docker container images
Container
Application Code
Dependencies
Cluster
Master
Node
Node
Node
Node
Build container image Store container image Deploy container image. Run
and scale application.
49. LAB 5 INTRO
Objectives
● Setup a network load balancer.
● Setup a HTTP(s) load balancer.
● Get hands-on experience
learning the differences
between network load
balancers and HTTP load
balancers.
Lab 5: Set Up Network and HTTP Load Balancers
(Getting Started: Create and Manage Cloud Resources)
50. Handle heavy traffic with load balancing
Application VM Instance
Application VM Instance
Application VM Instance
Users Load
Balancing
51. LAB 6 INTRO
You will be tested on:
● Create an instance.
● Create a 3 node Kubernetes
cluster and run a simple
service.
● Create an HTTP(s) Load
Balancer in front of two web
servers.
Lab 6: Getting Started: Create and Manage Cloud
Resources: Challenge Lab
(Getting Started: Create and Manage Cloud Resources)
52. Congratulations!
You have now enough knowledge to
complete your first Qwiklabs quest and
earn a Google Cloud-hosted skill badge.
Once completed, make your Qwiklabs
profile public to see the badge:
My Learning > View Public Profile >
Make Profile Public
Follow the instructions here.
60. ● Gain insights from data using
Google Cloud’s pre-trained machine
learning models
● Leverage same technology as Google
Photos and Google Assistant
● Require ZERO prior knowledge of ML
Google Cloud Machine Learning APIs
61. Google Cloud Machine Learning APIs
Vision Video
Intelligence
Speech
To Text
Natural
Language
Translation
62. Google Cloud Speech to Text API
● Google Cloud Speech-to-Text enables developers to
convert audio to text by applying powerful neural
network models in an easy-to-use API.
● The API recognizes 120 languages and variants to
support your global user base.
● It can process real-time streaming or prerecorded
audio, using Google’s machine learning technology.
63. LAB 1 WALKTHROUGH
Lab 1: Google Cloud Speech API: Qwik Start
(Perform Foundational Data, ML, and AI Tasks in Google Cloud)
Objectives
● Create an API Key
● Create your Speech API
request
● Call the Speech API
Google Cloud Speech API
65. Need Help?
1. There is online chat
support available 24/7
for Qwiklabs. Select
the Department as
“30 Days of Google
Cloud”
Look at the bottom right corner of your screen
66. Need Help?
2. If there any other
problems, email
dscsupport@qwiklabs.com
The team there will
respond quickly.
69. Complete remaining quests in Cloud Engineering track
Getting Started: Create and Manage Cloud Resources
What are skill badges?
An exclusive digital Google Cloud
skill badge that demonstrates
your growing Google Cloud
recognized skillset.
Perform Foundational Infrastructure Tasks in Google Cloud
Setup and Configure a Cloud Environment in Google Cloud
Deploy and Manage Cloud Environments with Google Cloud
Build and Secure Networks in Google Cloud
Deploy to Kubernetes in Google Cloud
Earn “Skill Badges” simultaneously!
70. Earn all these badges!
Getting Started:
Create and Manage
Cloud Resources
Perform
Foundational
Infrastructure Tasks
in Google Cloud
Deploy and Manage
Cloud Environments
with Google Cloud
Build and Secure
Networks in Google
Cloud
Deploy to
Kubernetes in
Google Cloud
Setup and Configure
a Cloud Environment
in Google Cloud
71. Complete remaining quests in Data Science & Machine
Learning track
Getting Started: Create and Manage Cloud Resources
What are skill badges?
An exclusive digital Google Cloud
skill badge that demonstrates
your growing Google Cloud
recognized skillset.
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
Earn “Skill Badges” simultaneously!
72. Earn all these badges!
Getting Started:
Create and Manage
Cloud Resources
Perform
Foundational Data,
ML, and AI Tasks in
Google Cloud
Engineer Data in
Google Cloud
Integrate with Machine
Learning APIs
Explore Machine
Learning Models
with Explainable AI
Insights from Data
with BigQuery
73. Share your
achievement
Share your newly earned badge
on social media using the tag
#30DaysofGoogleCloud.
This is a great achievement and
we would love to celebrate this
with you.
Follow us @GoogleCloud_IN and
@GoogleDevsIN
