7. 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
8. 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
9. 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
13. # of quest completionsStudent
Progress track by
Google Cloud
# of skill badge completions
Institution Name
Enrolment Date & Time
Enrolment Status - “All Good” or “Bad Profile URL” or “No
Internet”
Qwiklab Profile URL
Name & Email ID
MAIT
14. Student Progress Tracking
● If the student is already enrolled in #GoogleCloudReady Facilitator program as a
participant, he/she will not be eligible for the prizes as this program is quite similar to 30
Days of Google Cloud program and his/her progress will not be tracked under this
program. However, the student can still enroll into the program and get Qwiklabs
credits for practise.
● For rest students, the progress tracking will be as per the usual scenario if they are not
enrolled in #GoogleCloudReady Facilitator program or might have already completed
1-2 labs earlier which are not part of the tracks mentioned.
15. 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!
16. 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
17. How the program schedule would look like?
Program Kick-off
Pick any 1 track from
where you want to begin,
complete either of the
tracks or both the tracks.
Student Enrolment
(Till 11th Oct)
After this kick off call,
Google Cloud will also
share resources to ask
students to enroll for the
program, get Qwiklabs
credits, earn skill badges
and prizes.
Drive Completions
(Till 31st Oct)
Starting from today after
you fill the form and on
receiving the credits you
are good to go.
Get your goodies
As soon as everything is
done, Google Cloud will
send you your goodies.
18. Milestones & Prizes
Audience Milestone Achieved Prizes*
Students Complete Cloud Engineering Track** Participation Certificate from Google + T-Shirt
+ Sticker pack
Students Complete Data Science & Machine Learning Track** Participation Certificate from Google + T-Shirt
+ Sticker pack
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.
If you are already a part of #GoogleCloudFacilitator program as a participant you won’t be eligible for prizes
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
27. Use the URL that will be
sent to you via email
1. Find the invitation email with subject:
“[30 days of Google Cloud] “
2.. 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. A Tour of Qwiklabs
and the Google
Cloud Platform Lab
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.
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
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
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. ● 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
43. Cloud Shell
LAB 3
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)
44. 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
45. LAB 4Objectives
● 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)
46. LAB 5
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)
47. 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)
LAB 6
48. 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.
55. ● 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
56. Google Cloud Machine Learning APIs
Vision Video
Intelligence
Speech
To Text
Natural
Language
Translation
57. 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.
58. 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
LAB 1
60. 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!
61. 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
62. 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!
63. 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
64. 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
65. To help students complete quests and skill badges, we have a lot of FREE online resources
that you can share with them. Use these to give them a head-start!
Refer to these Qwiklabs Videos
For Getting Started: Create and Manage
Cloud Resources Quest:
● Creating a Virtual Machine lab preview
● Get Started with Cloud Shell lab preview
● Launch a Windows Server Instance
● Manage Containerized Apps with
Kubernetes Engine
● Set Up Network & HTTP Load Balancers
For Perform Foundational Data, ML, and AI
Tasks in Google Cloud Quest:
● Machine Learning with Cloud ML Engine
● Cloud ML Engine: Qwik Start
● Dataprep: Qwik Start - Qwiklabs Preview
● Spark and Hadoop with Cloud Dataproc
● Dataproc: Qwik Start
● Cloud Natural Language Intro
● Google Cloud Speech: Qwik Start
● Google Cloud Video Intelligence
67. 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
68. Need Help?
2. If there any other
problems, email
dscsupport@qwiklabs.com
The team there will
respond quickly.
Welcome everyone, I am happy to have to all join in on the session and glad that you are interested in 30 Days of Google Cloud Program . But before I start I want to mention that this program is DSC Campus wise so information I share today regarding the form and the program will be specific to students of Maharaja Agrasen Institute of Technology. If you are not a student of MAIT then you need to contact the DSC Lead of your campus. Now it’s time to introduce you to the 30 Days of Google Cloud program, but before that let’s dive into why should you consider building a career in cloud right now
As, we all know that Cloud is a booming technology these days and the IT companies across the globe are shifting their traditional infrastructure to the cloud. So, that shift is generating a higher demand for the cloud engineers. Now, using the resources which will be provided to you, you can learn about GCP services and become eligible for such positions.
As we all are in our university phase which means that we have a strong theoretical knowledge.
But in order to launch our careers we need to have certain industry skills.
To get those industry skills, you can begin your journey with the 30 Days of Google Cloud program. Let me tell you how your program journey would look like. Before that let me introduce myself, I am Deepika Rana, the DSC Lead for MAIT and also the facilitator of the 30 Days of Google Cloud program at our college
Let’s go over each track one by one.
First track that we have in the program is the “Cloud Engineering” track. By completing the quests under the Cloud Engineering track, you will learn to explore and deploy solution elements, including infrastructure components such as networks, systems, and applications services.
We have a total of 6 quests under this track.
Next, we have the “Data Science & Machine Learning” track. By completing the quests in this track, you will learn and demonstrate proficiency in key topics related to big data and machine learning to prepare for roles such as data analyst, marketing analyst, business intelligence professional, and data engineer. This track also consists of 6 quests.
Fill the form and follow all the steps including creating a qwiklabs account if you do not have one and follow the steps and make sure you share your correct Qwiklabs profile because that will be the only way your progress will be tracked.
After completing each quest from either of the tracks, you have a chance of earning Google Cloud Skill Badges. Skill badges are used to show that you have actually applied your new learned skills using a challenge lab at the end where you have to take your new learned skills for a test drive.
After you acquire them, do remember to add them on your resume and professional profiles and share it with your network to prove that you have the in-demand skills. We have a total of 6 skills badges to be earned for each track!
Okay moving on to how the program schedule
As soon as everything is done, you all will receive your certificates and also goodies!!
Now it’s time for the moment you all have been waiting for - what do you have to do to get the goodies and the certificates? Well we have a lot of things in store for you. Based on the table shown, you will be awarded based on the milestones that you achieve.
[Read from slides now]
We have similar incentives for students as well so that they can be recognised for their accomplishments. Please note that you can onboard as many students as you want to drive this number as high as possible, but you do have to train at least 50 students from your institute to be eligible for facilitator swag.
The learning opportunities with Google Cloud are a great way to prepare for cloud careers. What’s possible with cloud? Let’s look at an example that we are all likely familiar with.
I am sure you all must have played Pokémon Go or knew somebody who was a huge fan?
You must have been wondering why the discussion suddenly shifted to Pokemon Go.
So the reason is when the game launched, the teams targeted 1X player traffic, with a worst-case estimate of roughly 5X this target. Pokémon GO’s popularity caused the traffic to surge rapidly. Player traffic reached 50X the initial target, ten times the worst-case estimate.
Pokémon GO used many services across Google Cloud.
The application was able to scale to meet the demand with the reliability and scalability provided by Google Cloud services such as Google Kubernetes Engine, HTTP Load Balancing, and Google Cloud Datastore. We’ll learn about some of these Google Cloud services in the tracks.
There are three main types of cloud-based services:
Infrastructure as a service
Platform as a service
Software as a service
Infrastructure includes raw resources such as a virtual machine, networking, storage and more. These resources are the fundamental building blocks of cloud computing.
When you consume infrastructure as a service (IaaS) you have greater control over the resources but also greater management overhead. For example, consider a virtual machine. You need to install, upgrade, and patch all the software required to run your application. You can configure your virtual machines to scale based on the load on your application.
Google Compute Engine, networking, and load balancers are examples of IaaS.
Platform as a service (PaaS) provides a platform with managed services where runtime environment and network settings are pre-configured. This makes it easier for you to develop and deploy your application.
Google App Engine is an example of PaaS. Google App Engine comes pre-configured with runtimes for Java, Python, Node.js, and more. Software upgrades and patches are automatically applied. Load balancing is also pre-configured. This enables the developer to focus on the application logic only instead of worrying about infrastructure setup.
With Software as a service (SaaS), entire applications are managed and made available in cloud environment. Gmail is an example of a SaaS.
Consider the infrastructure needed for an online game. You can use Google Cloud services to store:
Object data such as image and video files
High-volume or semi-structured data such as streaming or game data
Relational data such as user id, name and so on
There are multiple options such as Kubernetes Engine for your application runtime environment. This is where your application code executes.
You can also build apps which use other services like Google Maps and YouTube.
With cloud-based services, you don’t have to set up and manage your own infrastructure. You can simply focus on developing your app and then use managed cloud services to make it available globally in just a few minutes!
Once you have registered for the form you can directly start with the labs. If you are not a student of MAIT your progress will not be counted so please contact your DSC LEad,
After you fill the form within 24 hours or earlier you will receive a mail from Google Cloud
This url will lead you to the landing page of the A Tour of Qwiklabs and Google Cloud lab.
Incognito window makes it easier for you to understand the whole process from scratch. Try to perform the labs in incognito.
If this is the first time you are hearing about Qwiklabs and don’t have an account yet, then click on “Join” and create one now. You can use your Google Account as well to sign up. Do remember to check in the marketing opt-in box when creating a new account. That makes you eligible for additional free access after you complete the quest today.
If you already have a account, then just click on “Sign-in” and wait for further instructions.
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
The “can do what” part is defined by an IAM role. An IAM role is a collection of permissions. Most of the time to do any meaningful operations you need more than 1 permission. For example to manage instances in a project, you need to create, delete, start, stop and change an instance. So the permissions are grouped together into a role to make it easier to manage.
The “who” part names the user or group to whom the rule is granted. To give a user or group the desired permissions, you grant a role to the user on a resource.
Regions are independent geographic areas that consist of zones. Locations within regions tend to have round-trip network latencies of under 5ms on the 95th percentile.
A zone is an isolated location within a region. You can think of this as being similar to a datacenter. A zone is designed and setup to be independent of the other zones within a region. In the rare case that one zone goes down, the other zones are still operational. To enable fault tolerance, you should deploy your applications across multiple zones. For example, if a zone is affected by a network outage, your application will still continue to function if it is deployed across multiple zones.
A zone is a deployment area for Cloud Platform resources within a region. Zones should be considered a single failure domain within a region. In order to deploy fault-tolerant applications with high availability, you should deploy your applications across multiple zones in a region to help protect against unexpected failures.
Now go back to the lab and end it. Once you do refresh the page and wait for a few minutes. You should now see the 600 or 600+ credits in your profile. Don’t worry if you cannot see them, we have some troubleshooting tips in the next slide which will help you get the credits.
If you are facing any issues on the Qwiklabs platform such as account block, or quota reset of lab session or they did not receive the credits, please reach out to Qwiklabs support team via email (dscsupport@qwiklabs.com) or use Chat with us for fast resolution.
You are all set to take part in the hands on lab experience now. As discussed previously, today we will be going through the Getting Started: Create and Manage Cloud Resources quest - one of the foundational quest on Qwiklabs that will help you get started with GCP.
This is what you should see. Click on “Enrol in this Quest” button. Skip the video, if you saw a video after you enrolled and wait for the next steps.
You should now see the 6 labs listed in the quest. We will go through the first lab in the quest together right now. The rest labs you will have to do on your own. We will give you a small intro for the rest labs as well so that you don’t face any difficulties.
Now the first lab that is part of the Google Cloud Essentials quest is the “A Tour of Qwiklabs and the Google Cloud Platform” since we have already completed this
Troubleshooting:
For the first objective, make sure to use the exact configuration while creating the virtual machine i.e. same name, region/zone, machine-type etc.
For the second objective in the lab make sure to use Cloud shell only.
Compute Engine offers manages virtual machines with several predefined machine types. You can also configure a custom virtual machine with your own CPU, memory, and disk specifications.
Cloud Shell is a Debian-based virtual machine which makes it easy for you to manage your Cloud Platform projects and resources.
The Cloud Shell VM is 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.
Note to presenter:
In the HTTP load balancer section, after setting up the global forwarding rule, while waiting for the changes to propagate, switch to the main GCP console
From main menu, navigate to Compute Engine > Instance Groups. Highlight the instance group that was just created with 2 VM instances based on the nginx template
Navigate to Networking > Load balancing
Note to presenter:
In the HTTP load balancer section, after setting up the global forwarding rule, while waiting for the changes to propagate, switch to the main GCP console
From main menu, navigate to Compute Engine > Instance Groups. Highlight the instance group that was just created with 2 VM instances based on the nginx template
Navigate to Networking > Load balancing
Before that, congratulations! You now have the headstart that we discussed about in the beginning of the session. After this session, please complete the labs in the Getting Started: Create and Manage Cloud Resources quest to earn your first Google Cloud-hosted skill badge.
Once completed, make your Qwiklabs profile public to share your accomplishment with your network.
You are all set to take part in the hands on lab experience now. As discussed previously, today we will be going through the Perform Foundational Data, ML, and AI Tasks in Google Cloud quest.
Speaker Notes:
Let’s consider an example problem of distinguishing between puppies and muffins.
One way to go about this is to set up a bunch of rules. Maybe any photo with eyes or ears is a puppy while any photo with something in a wrapper is a muffin.
Speaker Notes:
But sometimes it’s not so easy.
Now the rule of looking for eyes doesn’t work because we have blueberry muffins.
This shows us that using hard-coded rules only goes so far in helping us classify images.
Basically, you would use thousands of puppy photos and thousands of muffin photos to train a machine learning model so it has enough examples to learn from.
That way, if you throw a new puppy photo at it, it would know to classify it as a puppy, and not a muffin.
In order to create a Machine Learning model, you should have lots of training daa, and many a times, we do not have that kind of data.
But Google does. And it has used this training data to train its models and exposed it as Machine Learning APIs.
One great thing about these APIs is that they require ZERO prior knowledge of ML.
Basically, Google Cloud handles the “training” aspect of machine learning - gathering data and building the predictive models - allowing you to jump straight to the “Predict” phase where you give the API data and get back information.
Speaker Notes:
Google Cloud provides several pre-trained machine learning models. You can build applications with ML, even if you are not an ML expert.
Here are our five Google Cloud Machine Learning APIs - Vision, Video Intelligence, Speech, Natural Language, and Translate.
Demo the Speech to Text API
Links:
cloud.google.com/vision -
cloud.google.com/video-intelligence
cloud.google.com/speech-to-text - maybe ask for a volunteer from the audience
cloud.google.com/text-to-speech
cloud.google.com/natural-language
cloud.google.com/translate
You need to complete the rest of the quests & skill badges remaining in the Cloud Engineering track! You would have already completed 2 labs in the Getting Started: Create and Manage Cloud Resources quest in this session - do remember to complete the remaining labs immediately after the session while the knowledge is still fresh.
Also, remember we talked about skill badges earlier. It’s really easy to earn one when you have already completed a quest. All you have to do is complete one more challenge lab after completing the quest related to that skill badge. Let us explain how it works! [Give the students an example by taking them to first the “Google Cloud Essentials” quest and then the “Getting Started: Create and Manage Cloud Resources” skill badge]
Once you complete all the quests & the skill badges from Cloud Engineering track, this is what your profile would look like. You would have earned all of these amazing badges issued by Google Cloud which you can share with your network and add to your resume and professional profiles and showcase that you have the necessary skills and hands on practice on Google Cloud.
You need to complete the rest of the quests & skill badges remaining in the Data Science & Machine Learning track! You would have already completed one lab in the Perform Foundational Data, ML, and AI Tasks in Google Cloud quest in this session - do remember to complete the remaining labs immediately after the session while the knowledge is still fresh.
Also, remember we talked about skill badges earlier. It’s really easy to earn one when you have already completed a quest. All you have to do is complete one more challenge lab after completing the quest related to that skill badge. Let us explain how it works! [Give the students an example by taking them to first the “Google Cloud Essentials” quest and then the “Getting Started: Create and Manage Cloud Resources” skill badge]
Once you complete all the quests & the skill badges from Data Science & Machine Learning track, this is what your profile would look like. You would have earned all of these amazing badges issued by Google Cloud which you can share with your network and add to your resume and professional profiles and showcase that you have the necessary skills and hands on practice on Google Cloud.
Share profile and pictures with your social/professional network. Use hashtag: #30DaysofGoogleCloud
Do remember to follow us on Twitter to stay updated with all the latest information about Google Cloud.
We’ve got a few ways to get help while you are completing the quest.
We’ve got a few ways to get help while you are completing quests.
We’ve got a few ways to get help while you are completing quests.
