Hey Everyone!! 👋👋👋👋
👋
Welcome to
Google Developer
Student Club
Pragati Engineering
College
Pragati Engineering College
Have a look at this until
we start !
Before we start...We have something for you !
Social Media Contest
Post the best moment of yours from the ‘Info
Session’ on LinkedIn !
Make sure you tag ‘GDSC PEC’ & use the
following hashtags :
#TheJourneyStartsHere #gdspeck
#TechCommunity
Image Credits : Pinterest
A glimpse into the GDSC Pragati 2022-23
GDSC Pragati VISION AND MISSION
VISION : To maintain the legacy of our former leads
and grow GDSC as a diverse student community.
MISSION : To create a technical student
community and help them learn what’s new in the
industry through interaction and collaboration.
#InTouchWithTomorrow
LEAD
V D PRADEEP
Pragati Engineering College
As a GDSC-Lead. What are the things I have to do!
 Instruct and guide and suggests the other team members
in learning various technologies.
 Have to develop peer to peer learning.
 Create awareness about Google technologies among the
students.
CH PRIYA
CO-LEAD
Pragati Engineering College
What does a Co-Lead do!
 Have to take Primary responsibility fo all the events.
 Have to guide the remaining leads.
 Have to take care of organising of events, hackathons,seminars, etc.
 Have to act as bridge between lead and team.
 Have to coordinate with remaining team members.
K D V CHAITANYA
CLOUD LEAD
Pragati Engineering College
 What are the learning objectives in Google Cloud:
1. Cloud Services Overview
2. Google Cloud Console
3. Virtual Machines (VMs)
4. Networking Basics
5. Identity and Access Management (IAM)
6. Getting Started with APIs
7. Hands-On Labs
Past Vs present senario
Google Cloud Study Jam program 2023
Various services offered by GCP
CH PRIYA
FLUTTER LEAD
Pragati Engineering College
FLUTTER
Cross platform Frame Work
Open source
Fast and simple development
Rich Set of Libraries
High Productivity
Dart
A NEHA
ANDROID DEVELOPMENT LEAD
Pragati Engineering College
• Android is the most popular mobile operating system in the world, powering
billions of devices.
• Programming languages used: Kotlin, Java, XML
Advantages of android:
• Open-Source
• Diverse Device Support
• Developer-Friendly
• Adaptability
• Cross-Platform Development
MD ASHIQ ILAHI
DATA SCI & AI-ML LEAD
Pragati Engineering College
Google AI, ML, and data science technologies like
TensorFlow and Keras:
1. Introduction to Google AI: - Brief overview of Google's
contributions to Artificial Intelligence and Machine Learning. -
Emphasis on Google's role in driving innovations in the field.
2. TensorFlow Framework: - Explanation of TensorFlow as an
open-source machine learning framework developed by Google.
- Highlight its popularity, versatility, and community support.
3. Keras Integration: - Discuss how Keras is a high-level neural
networks API that runs on top of TensorFlow. - Mention its user-
friendly interface and ease of building complex neural network
architectures.
4. Applications of TensorFlow and Keras: - Showcase real-world applications across various
industries, such as image recognition, natural language processing, and recommendation systems.
5. TensorFlow Hub: - Introduction to TensorFlow Hub as a platform to share, discover, and reuse machine
learning modules.
6. Google Cloud AI Services: - Overview of Google Cloud's AI services like AI Platform, AutoML, and
BigQuery ML. - Emphasize their role in simplifying ML model development and deployment.
7. Data Science Tools: - Mention Google's tools for data analysis and visualization, like Google Colab and
Data Studio. - Highlight their collaborative and interactive features.
8. TensorFlow Extended (TFX): - Explain TFX as an end-to-end platform for deploying production ML
pipelines. - Discuss its role in managing and monitoring machine learning workflows.
9. Ethical AI: - Touch upon Google's efforts towards responsible AI, including fairness, transparency, and
interpretability. - Mention initiatives like the Google AI Principles.
10. Future of Google AI and ML: - Speculate on upcoming trends and advancements in Google's AI
and ML technologies. - Discuss the potential impact on industries and society.
K SAI KARTHIK
WEB DEVELOPMENT- LEAD
Pragati Engineering College
WEB DEVELOPMENT TEAM
K TANOOSH
K SAI KARTHIK
BACK-
END
DATABASE
FRONT-END
FRAME WORKS
GDSC_INFO_SESSION 1.pptx
DESIGN TEAM
SUDHA GAYATHRI
DESIGN LEAD
K TANOOSH
Rupa Kamalini Isukapalli
Student Community
Coordinator
Event Management Lead
P GOVARDHAN DATTA
Pragati Engineering College
Android Flutter Web Dev FlutterFlow
Google
Cloud
Blockchain
Here’s what GDSC PEC planning to conduct this year
Git & Github AI ML AR VR
AR
AR VR
Logo credits:www.flaticon.com,Google
…..and much more !
GDSC_INFO_SESSION 1.pptx
Apart from tech, GDSC PEC has
introduced 3 non-tech domains
too…Let’s have a look at those !
Thank You !
We would love to
have your feedback !

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GDSC_INFO_SESSION 1.pptx

  • 1. Hey Everyone!! 👋👋👋👋 👋 Welcome to Google Developer Student Club Pragati Engineering College Pragati Engineering College
  • 2. Have a look at this until we start !
  • 3. Before we start...We have something for you ! Social Media Contest Post the best moment of yours from the ‘Info Session’ on LinkedIn ! Make sure you tag ‘GDSC PEC’ & use the following hashtags : #TheJourneyStartsHere #gdspeck #TechCommunity Image Credits : Pinterest
  • 4. A glimpse into the GDSC Pragati 2022-23
  • 5. GDSC Pragati VISION AND MISSION VISION : To maintain the legacy of our former leads and grow GDSC as a diverse student community. MISSION : To create a technical student community and help them learn what’s new in the industry through interaction and collaboration. #InTouchWithTomorrow
  • 6. LEAD V D PRADEEP Pragati Engineering College
  • 7. As a GDSC-Lead. What are the things I have to do!  Instruct and guide and suggests the other team members in learning various technologies.  Have to develop peer to peer learning.  Create awareness about Google technologies among the students.
  • 9. What does a Co-Lead do!  Have to take Primary responsibility fo all the events.  Have to guide the remaining leads.  Have to take care of organising of events, hackathons,seminars, etc.  Have to act as bridge between lead and team.  Have to coordinate with remaining team members.
  • 10. K D V CHAITANYA CLOUD LEAD Pragati Engineering College
  • 11.  What are the learning objectives in Google Cloud: 1. Cloud Services Overview 2. Google Cloud Console 3. Virtual Machines (VMs) 4. Networking Basics 5. Identity and Access Management (IAM) 6. Getting Started with APIs 7. Hands-On Labs
  • 12. Past Vs present senario
  • 13. Google Cloud Study Jam program 2023
  • 15. CH PRIYA FLUTTER LEAD Pragati Engineering College
  • 16. FLUTTER Cross platform Frame Work Open source Fast and simple development Rich Set of Libraries High Productivity Dart
  • 17. A NEHA ANDROID DEVELOPMENT LEAD Pragati Engineering College
  • 18. • Android is the most popular mobile operating system in the world, powering billions of devices. • Programming languages used: Kotlin, Java, XML Advantages of android: • Open-Source • Diverse Device Support • Developer-Friendly • Adaptability • Cross-Platform Development
  • 19. MD ASHIQ ILAHI DATA SCI & AI-ML LEAD Pragati Engineering College
  • 20. Google AI, ML, and data science technologies like TensorFlow and Keras: 1. Introduction to Google AI: - Brief overview of Google's contributions to Artificial Intelligence and Machine Learning. - Emphasis on Google's role in driving innovations in the field. 2. TensorFlow Framework: - Explanation of TensorFlow as an open-source machine learning framework developed by Google. - Highlight its popularity, versatility, and community support. 3. Keras Integration: - Discuss how Keras is a high-level neural networks API that runs on top of TensorFlow. - Mention its user- friendly interface and ease of building complex neural network architectures.
  • 21. 4. Applications of TensorFlow and Keras: - Showcase real-world applications across various industries, such as image recognition, natural language processing, and recommendation systems. 5. TensorFlow Hub: - Introduction to TensorFlow Hub as a platform to share, discover, and reuse machine learning modules. 6. Google Cloud AI Services: - Overview of Google Cloud's AI services like AI Platform, AutoML, and BigQuery ML. - Emphasize their role in simplifying ML model development and deployment. 7. Data Science Tools: - Mention Google's tools for data analysis and visualization, like Google Colab and Data Studio. - Highlight their collaborative and interactive features. 8. TensorFlow Extended (TFX): - Explain TFX as an end-to-end platform for deploying production ML pipelines. - Discuss its role in managing and monitoring machine learning workflows. 9. Ethical AI: - Touch upon Google's efforts towards responsible AI, including fairness, transparency, and interpretability. - Mention initiatives like the Google AI Principles. 10. Future of Google AI and ML: - Speculate on upcoming trends and advancements in Google's AI and ML technologies. - Discuss the potential impact on industries and society.
  • 22. K SAI KARTHIK WEB DEVELOPMENT- LEAD Pragati Engineering College
  • 23. WEB DEVELOPMENT TEAM K TANOOSH K SAI KARTHIK
  • 27. Rupa Kamalini Isukapalli Student Community Coordinator
  • 28. Event Management Lead P GOVARDHAN DATTA Pragati Engineering College
  • 29. Android Flutter Web Dev FlutterFlow Google Cloud Blockchain Here’s what GDSC PEC planning to conduct this year Git & Github AI ML AR VR AR AR VR Logo credits:www.flaticon.com,Google …..and much more !
  • 31. Apart from tech, GDSC PEC has introduced 3 non-tech domains too…Let’s have a look at those !
  • 32. Thank You ! We would love to have your feedback !