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Weโ€™ll be starting the session shortly!
GCSJ
2023
Session 2
Generative AI
Methodist College of Engineering & Technology
y^&&&TeTechnology
Google Cloud Study Jam Session 2
19
Overview of the Google Cloud Study Jam campaign!
Google Cloud Computing Foundations
8 courses
GenAI Arcade Game: Prompt Engineering
8 Hands-on Lab Activities
Active Participant Count
Session Agenda
Introdution to AI , ML , Generative AI and LLMโ€™s
1
2 Introduction to GenAI: Prompt Engineering Pathway
3 Resources for GenAI Hands-on Labs,& challenge
4 Quiz , Q&A and Next steps
Introdution to AI , ML , Generative AI and LLMโ€™s
Session Agenda
2 Introduction to GenAI: Prompt Engineering Pathway
3 Resources for GenAI Hands-on Labs,& challenge
4 Quiz , Q&A and Next steps
Introdution to AI , ML , Generative AI and LLMโ€™s
1
Introduction to GenAI: Prompt Engineering
เนOverview of the GenAI Pathway
เนGCP Services to Unlocking GenAI Potential!
เนGetting Ready for Hands-On Learning
Overview of the GenAI Pathway
1. Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API
2. Entity and Sentiment Analysis with the Natural Language API
3. Generative AI with Vertex AI: Prompt Design
4. Generative AI with Vertex AI: Getting Started
5. Get Started with Generative AI Studio
6. Generative AI Cricket Chatbot
7. Generative AI Food Chatbot
8. Analyze Images with the Cloud Vision API: Challenge Lab.
GCP
Services to
Unlocking GenAI Potential!
GCPโ€™s AI Services to Unlocking GenAI Potential!
AI
Vertex AI
Natural Language
API
Vision
API
Auto ML
โ— Google Cloud Vision API is a
powerful tool for image
recognition and analysis.
โ— It uses ML models to detect
and identify objects, faces,
text, and other elements within
images and can provide
information about their
content.
โ— Google Cloud Natural
Language API is a powerful
tool for analyzing and
extracting valuable insights
from text data.
โ— It can perform sentiment
analysis to determine the
emotional tone of a piece of
text, which is useful for
understanding customer
sentiment in product reviews
or social media comments.
Vision API Natural Language API
GCPโ€™s AI Services to Unlocking GenAI Potential!
โ— It is a powerful image analysis
tool that offers a wide range of
capabilities, including object
recognition, facial detection,
text extraction, and explicit
content detection.
โ— It allows businesses and
developers to extract
meaningful information from
images, making it valuable for
tasks like content moderation,
automated tagging, and image
classification.
โ— Google Cloud AutoML is a
suite of machine learning
products that allows users to
create custom machine
learning models with ease,
even if they have limited
expertise in machine learning.
โ— It provides a user-friendly
interface and automated
processes for tasks such as
image recognition, natural
language processing, and
structured data analysis.
Vision API Auto ML
GCPโ€™s AI Services to Unlocking GenAI Potential!
GCPโ€™s AI Services to Unlocking GenAI Potential!
โ— Generative AI Studio is a
Google Cloud console tool for
rapidly prototyping and testing
generative AI models.
Generative AI Studio
Getting Ready for Hands-On Learning
3rd
Oct
Session Agenda
3 Resources for GenAI Hands-on Labs,& challenge
4 Quiz , Q&A and Next steps
Introdution to AI , ML , Generative AI and LLMโ€™s
1
2 Introduction to GenAI: Prompt Engineering Pathway
3 Resources for GenAI Hands-on Labs,& challenge
Lab & Quiz Resources for Google Cloud & Generative AI
Challenge
of the Week
Google Cloud Complition Badge
Google Cloud Skill Badges
Level 3 GenAI: Prompt Engineering Badge
GCSJ Swags Milestones
0/71
0/61
0/41
71
61
41
GCSJ Swags 2023-2024
Note:
โ€ข These images are only for reference and the actual products will be different
Session Agenda
4 Quiz , Q&A and Next steps
Introdution to AI , ML , Generative AI and LLMโ€™s
1
2 Introduction to GenAI: Prompt Engineering Pathway
3 Resources for GenAI Hands-on Labs,& challenge
Lets Begin
Quiz !
Q&A
Session Agenda
Introdution to AI , ML , Generative AI and LLMโ€™s
1
2 Introduction to GenAI: Prompt Engineering Pathway
3 Resources for GenAI Hands-on Labs,& challenge
4 Quiz , Q&A and Next steps
Thank You!
JAM23-24 session 2 .pptx

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JAM23-24 session 2 .pptx

  • 1. Weโ€™ll be starting the session shortly! GCSJ 2023 Session 2 Generative AI
  • 2. Methodist College of Engineering & Technology y^&&&TeTechnology
  • 3. Google Cloud Study Jam Session 2
  • 4. 19
  • 5. Overview of the Google Cloud Study Jam campaign! Google Cloud Computing Foundations 8 courses GenAI Arcade Game: Prompt Engineering 8 Hands-on Lab Activities
  • 7. Session Agenda Introdution to AI , ML , Generative AI and LLMโ€™s 1 2 Introduction to GenAI: Prompt Engineering Pathway 3 Resources for GenAI Hands-on Labs,& challenge 4 Quiz , Q&A and Next steps
  • 8. Introdution to AI , ML , Generative AI and LLMโ€™s
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  • 45. Session Agenda 2 Introduction to GenAI: Prompt Engineering Pathway 3 Resources for GenAI Hands-on Labs,& challenge 4 Quiz , Q&A and Next steps Introdution to AI , ML , Generative AI and LLMโ€™s 1
  • 46. Introduction to GenAI: Prompt Engineering เนOverview of the GenAI Pathway เนGCP Services to Unlocking GenAI Potential! เนGetting Ready for Hands-On Learning
  • 47. Overview of the GenAI Pathway 1. Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API 2. Entity and Sentiment Analysis with the Natural Language API 3. Generative AI with Vertex AI: Prompt Design 4. Generative AI with Vertex AI: Getting Started 5. Get Started with Generative AI Studio 6. Generative AI Cricket Chatbot 7. Generative AI Food Chatbot 8. Analyze Images with the Cloud Vision API: Challenge Lab.
  • 49. GCPโ€™s AI Services to Unlocking GenAI Potential! AI Vertex AI Natural Language API Vision API Auto ML
  • 50. โ— Google Cloud Vision API is a powerful tool for image recognition and analysis. โ— It uses ML models to detect and identify objects, faces, text, and other elements within images and can provide information about their content. โ— Google Cloud Natural Language API is a powerful tool for analyzing and extracting valuable insights from text data. โ— It can perform sentiment analysis to determine the emotional tone of a piece of text, which is useful for understanding customer sentiment in product reviews or social media comments. Vision API Natural Language API GCPโ€™s AI Services to Unlocking GenAI Potential!
  • 51. โ— It is a powerful image analysis tool that offers a wide range of capabilities, including object recognition, facial detection, text extraction, and explicit content detection. โ— It allows businesses and developers to extract meaningful information from images, making it valuable for tasks like content moderation, automated tagging, and image classification. โ— Google Cloud AutoML is a suite of machine learning products that allows users to create custom machine learning models with ease, even if they have limited expertise in machine learning. โ— It provides a user-friendly interface and automated processes for tasks such as image recognition, natural language processing, and structured data analysis. Vision API Auto ML GCPโ€™s AI Services to Unlocking GenAI Potential!
  • 52. GCPโ€™s AI Services to Unlocking GenAI Potential! โ— Generative AI Studio is a Google Cloud console tool for rapidly prototyping and testing generative AI models. Generative AI Studio
  • 53. Getting Ready for Hands-On Learning 3rd Oct
  • 54. Session Agenda 3 Resources for GenAI Hands-on Labs,& challenge 4 Quiz , Q&A and Next steps Introdution to AI , ML , Generative AI and LLMโ€™s 1 2 Introduction to GenAI: Prompt Engineering Pathway
  • 55. 3 Resources for GenAI Hands-on Labs,& challenge Lab & Quiz Resources for Google Cloud & Generative AI
  • 56.
  • 60. Level 3 GenAI: Prompt Engineering Badge
  • 62. GCSJ Swags 2023-2024 Note: โ€ข These images are only for reference and the actual products will be different
  • 63. Session Agenda 4 Quiz , Q&A and Next steps Introdution to AI , ML , Generative AI and LLMโ€™s 1 2 Introduction to GenAI: Prompt Engineering Pathway 3 Resources for GenAI Hands-on Labs,& challenge
  • 65. Q&A
  • 66. Session Agenda Introdution to AI , ML , Generative AI and LLMโ€™s 1 2 Introduction to GenAI: Prompt Engineering Pathway 3 Resources for GenAI Hands-on Labs,& challenge 4 Quiz , Q&A and Next steps

Editor's Notes

  1. With infrastructure as a service, the service provides the underlying architecture for you to run servers. The resources to run are provided, but itโ€™s up to the user to manage the operating system and application. Platform as a service takes it one step further. Now the entire environment will be managed for you the user, and all that is required of you is to manage your applications. The operating system layer will be managed as part of the service. For Software as a service, the infrastructure, platform, and software is managed for you. All thatโ€™s required is that you bring your data to the system. A few commercial examples of SaaS include SAP and Salesforce.
  2. With infrastructure as a service, the service provides the underlying architecture for you to run servers. The resources to run are provided, but itโ€™s up to the user to manage the operating system and application. Platform as a service takes it one step further. Now the entire environment will be managed for you the user, and all that is required of you is to manage your applications. The operating system layer will be managed as part of the service. For Software as a service, the infrastructure, platform, and software is managed for you. All thatโ€™s required is that you bring your data to the system. A few commercial examples of SaaS include SAP and Salesforce.
  3. With infrastructure as a service, the service provides the underlying architecture for you to run servers. The resources to run are provided, but itโ€™s up to the user to manage the operating system and application. Platform as a service takes it one step further. Now the entire environment will be managed for you the user, and all that is required of you is to manage your applications. The operating system layer will be managed as part of the service. For Software as a service, the infrastructure, platform, and software is managed for you. All thatโ€™s required is that you bring your data to the system. A few commercial examples of SaaS include SAP and Salesforce.