presentation for cloud study jams 2023.

1. We’ll be starting the session shortly!
GCSJ
2023

2. Methodist College of Engineering & Technology
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3. Google Cloud Study Jam Introductory Session

4. Session Agenda
Urgent reminder to redeem the monthly subscription
1
2 Introduction to Google Cloud Study Jam:
3 Career Benefits:
4 Quiz , Q&A and Next steps

5. Urgent reminder to redeem the monthly subscription
14th
Oct
Deadline is Approaching Near

6. Urgent reminder to redeem the monthly subscription

7. Interacting with Google Cloud Console Environment
First Hands-On Lab
General approach for completing labs

8. Urgent reminder to redeem the monthly subscription
14
Oct
Expected Redemption Status

9. Introduction to Google Cloud Study Jam
• Overview of the Google Cloud Study Jam Event
• Google Cloud Computing Foundations
• So what is Cloud Anyway !
• Key Services of Google Cloud Platform

10. Overview of the Google Cloud Study Jam Event
• Google Cloud Study Jam (30 Days with Cloud) is a 30-day Self-paced le
• The program encourages active participation and engagement.
• Participants can expect hands-on labs and practical exercises.
• Topics covered include cloud fundamentals, infrastructure, networking
• This activity also explores "GenAI Arcade Game: Prompt Engineering."

11. Overview of the Google Cloud Study Jam Event
1. Google Cloud Computing Foundations
• 8 courses
2. GenAI Arcade Game: Prompt Engineering
• 9 Hands-on Lab Activities

12. Google Cloud Computing Foundations

13. Google Cloud Computing Foundations
First 4 Courses [1 to 4] consists of :
• Video explanations ,
• Quizzes and
• Practice Labs.

14. Google Cloud Computing Foundations
Remaining 4 Courses [5 to 8] consists of :
• Practice Labs and
• Challenge Labs

15. So What is Cloud Anyway !
• Analogy of Transportation to Understand Cloud Computing

16. GCP Key Services

17. Key Services of Google Cloud Platform
Compute
App Engine
Google
Kubernetes
Engine (GKE)
Compute
Engine
Cloud
Functions
Cloud
Run

18. Key Services of Google Cloud Platform
Cloud
Bigtable
Cloud SQL
Cloud
Storage
Cloud
Spanner
Datastore
Storage

19. Key Services of Google Cloud Platform
Vision API Speech-to-Text API Cloud Translation API
AI Platform
Big data
Pub/Sub Dataflow Dataproc
BigQuery AI Platform Notebooks
Machine learning
AutoML
Data Analytics, ML & AI

20. Google Cloud Computing
Foundations
Infrastructure in Google Cloud

21. Storage :
The process of saving and preserving data
for later use

22. Storages Services
Cloud
Storage
Cloud
Bigtable
Cloud
SQL
Cloud
Spanner
Firestore

24. Basic Cloud Storage Classes

26. • Implement Businesses Logic
• Manage Data and Files in the Cloud
• Reducing the need for on-premises
storage
• Enhancing data accessibility and reliability
Applications :

27. It is a set of rules and
protocols that allow different
software applications to
communicate with each
other
API (Application Programming Interface)

30. API End Points
GET:
• Retrieve data from the API, GET requests are used to fetch
information
PUT:
• Update existing data on the API server. PUT requests are used to
update a user's profile information.
DELETE:
• Remove data from the API server. A DELETE request is used to
delete a resource, like deleting a user account or removing an item
from a shopping cart.

32. IAM is a framework that controls who
can access what in a digital system.
It manages user identities, permissions,
and security, ensuring secure and
efficient data access
IAM (Identity Access Management)

37. The Products and Services logos may be used to accurately reference Google's technology and tools, for instance in architecture diagrams. 37
Networking & Security In Google Cloud

38. The Products and Services logos may be used to accurately reference Google's technology and tools, for instance in architecture diagrams. 38
Most networks today are connected to the
internet, which enables millions of personal
computers, servers, smartphones, and other
devices to communicate, provide, and
consume IT services.
Google’s high-quality private network
connects regional locations to more than
100 global network points of presence close
to users.
Networking in the Cloud

39. The Products and Services logos may be used to accurately reference Google's technology and tools, for instance in architecture diagrams. 39
On a VPC, customers can run code, store data, host
websites, and do anything else they could do in an
ordinary private cloud, but this private cloud is hosted
remotely by a public cloud provider.
Virtual Private Clouds also have subnets in
What is a VPC (Virtual Private Cloud)

40. The Products and Services logos may be used to accurately reference Google's technology and tools, for instance in architecture diagrams. 40

41. The Products and Services logos may be used to accurately reference Google's technology and tools, for instance in architecture diagrams. 41
Infrastructure as Code
(IaC)

42. The Products and Services logos may be used to accurately reference Google's technology and tools, for instance in architecture diagrams. 42
TERRAFORM

43. The Products and Services logos may be used to accurately reference Google's technology and tools, for instance in architecture diagrams. 43

44. The Products and Services logos may be used to accurately reference Google's technology and tools, for instance in architecture diagrams. 44
MONITORING

45. The Products and Services logos may be used to accurately reference Google's technology and tools, for instance in architecture diagrams. 45

46. Foundational Data,
ML, and AI Tasks
in Google Cloud

47. Proprietary + Confidential
Data Storage and Processing
Google Cloud Storage
Google Cloud Storage is a highly scalable and durable
object storage service. It allows you to store and access
your data from anywhere in the world. Google Cloud
Storage is designed for high availability and offers strong
consistency for both reads and writes.
Google Cloud Bigtable
Google Cloud Bigtable is a fully managed, scalable NoSQL
database service that is designed for large analytical and
operational workloads. It provides low-latency read and write
access to your data, making it ideal for real-time
applications. Ex:MNC

48. Machine Learning on Google
Cloud
Google Cloud provides a powerful platform
for building and deploying machine learning
models. With Google Cloud's AI and ML
services, you can easily train and deploy
models at scale, while leveraging Google's
industry-leading infrastructure and expertise.

49. Proprietary + Confidential
AI on Google Cloud
AutoML
1. Create custom machine learning models without
extensive programming experience.
2. Use pre-built models to quickly solve common
business problems.
Cloud Vision API
1.Analyze images to detect objects, faces, and landmarks.
2.Extract text from images for further analysis.

50. Proprietary + Confidential
Data Analysis and Visualization
Data Analysis
Google Cloud provides a range of data analysis tools, including
BigQuery and Dataflow, to help businesses extract insights from
their data.
Data Visualization
Google Cloud offers a variety of data visualization tools, such
as Data Studio and Looker, to help businesses create
compelling visualizations of their data.
BigQuery

51. Next Steps
Now that you have a foundational understanding of data, ML, and AI on Google Cloud, it's time to put your
knowledge into practice and start Performing Labs !.

52. 3 Career Benefits:
• Google Cloud Skill Badges .
• Google Cloud Platform Certifications .
• Career Advancement Opportunities .
• Improved Job opportunities .

53. Google Cloud Complition Badge

54. Google Cloud Skill Badges

55. Google Cloud Certifications

56. We Have Some More
Benfits !

57. GCSJ Swags Milestones
0/71
0/61
0/41
71
61
41

58. GCSJ Swags 2023-2024
Note:
• These images are only for reference and the actual products will be different

59. Quiz
Time :

61. Q&A

62. What Next?

63. GenAI Arcade Game: Prompt Engineering
16th
Oct
Genrative AI Redemtion For Our Campus

64. Thank You!