The document discusses an introductory session on careers in cloud computing using Google Cloud Platform. It includes an agenda for the session which covers what cloud computing is, using Google Cloud Platform as a solid foundation, and a discussion on preparing for cloud careers and certifications. The session will provide an overview of fundamental cloud concepts, Google Cloud services and tools, and how to get started with a cloud career.
Growing demand for cloud skills is driving cloud career opportunities. The document discusses preparing for cloud careers by learning cloud skills through Google Cloud certifications and understanding basic cloud concepts like the characteristics of cloud computing and cloud service models. It provides an overview of interacting with Google Cloud through the Cloud Console, Cloud SDK, Cloud Shell, and APIs to manage compute, storage, AI/ML, and other cloud services across projects.
The document provides an overview of an introductory session on Google Cloud Platform. It includes an agenda that covers what cloud computing is, starting with Google Cloud Platform as a solid platform, and a weekly task and Q&A session. It then details the characteristics and service models of cloud computing. It explains how to interact with and manage projects on Google Cloud Platform using the Cloud Console, Cloud SDK, Cloud Shell, and mobile apps.
Hello cloud enthusiasts!!
Did you know that the global cloud market is expected to grow USD 545.8 bilion by the end of 2022 to 1,240 billion by 2027?
And well,we know Google Cloud is revolutionizing the way cloud computing works , across more than 20+ countries .
Keeping this in mind GDSC-ACEM brings the most awaited campaign The Google Cloud Career Practitioner .
The document provides information about an online training session on Google Cloud. It includes an agenda for the session that covers introductions, an overview of cloud computing, different compute offerings on Google Cloud Platform, and a weekly task and Q&A session. Additional details are provided on career preparation resources and certification tracks for cloud engineering and data science/machine learning. The training schedule outlines four weekly sessions that will cover various Google Cloud topics.
This document discusses various ways to interact with Google Cloud and manage cloud resources. It covers the Cloud Console which provides a web-based GUI, Cloud SDK which offers command-line tools, and Cloud Shell which enables command-line access through a web browser. It also discusses creating and managing projects in Google Cloud which serve as containers for services and resources.
This document provides information about a 30 Days of Google Cloud program being run by GDSC and RobSoc at Miranda House, University of Delhi. The summary includes:
- The program aims to help participants unlock benefits and gain hands-on experience in Google Cloud over 30 days by completing skill badges and tracks in cloud engineering and data science/machine learning.
- Participants can choose to complete one track for rewards, or both tracks for additional rewards, including a certificate of appreciation from Google and goodies.
- The program will provide training to help participants earn skill badges by completing hands-on labs and assessments to demonstrate their cloud skills.
The document discusses cloud computing and Google Cloud. It defines cloud computing as having five key characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It describes the three main types of cloud services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document then provides an overview of the various compute, storage, artificial intelligence, and other services offered by Google Cloud. It outlines the four main ways to interact with Google Cloud: the Cloud Console, Cloud SDK, Cloud Shell, and APIs. Finally, it discusses projects in Google Cloud, how they are identified, and how to create
Growing demand for cloud skills is driving cloud career opportunities. The document discusses preparing for cloud careers by learning cloud skills through Google Cloud certifications and understanding basic cloud concepts like the characteristics of cloud computing and cloud service models. It provides an overview of interacting with Google Cloud through the Cloud Console, Cloud SDK, Cloud Shell, and APIs to manage compute, storage, AI/ML, and other cloud services across projects.
The document provides an overview of an introductory session on Google Cloud Platform. It includes an agenda that covers what cloud computing is, starting with Google Cloud Platform as a solid platform, and a weekly task and Q&A session. It then details the characteristics and service models of cloud computing. It explains how to interact with and manage projects on Google Cloud Platform using the Cloud Console, Cloud SDK, Cloud Shell, and mobile apps.
Hello cloud enthusiasts!!
Did you know that the global cloud market is expected to grow USD 545.8 bilion by the end of 2022 to 1,240 billion by 2027?
And well,we know Google Cloud is revolutionizing the way cloud computing works , across more than 20+ countries .
Keeping this in mind GDSC-ACEM brings the most awaited campaign The Google Cloud Career Practitioner .
The document provides information about an online training session on Google Cloud. It includes an agenda for the session that covers introductions, an overview of cloud computing, different compute offerings on Google Cloud Platform, and a weekly task and Q&A session. Additional details are provided on career preparation resources and certification tracks for cloud engineering and data science/machine learning. The training schedule outlines four weekly sessions that will cover various Google Cloud topics.
This document discusses various ways to interact with Google Cloud and manage cloud resources. It covers the Cloud Console which provides a web-based GUI, Cloud SDK which offers command-line tools, and Cloud Shell which enables command-line access through a web browser. It also discusses creating and managing projects in Google Cloud which serve as containers for services and resources.
This document provides information about a 30 Days of Google Cloud program being run by GDSC and RobSoc at Miranda House, University of Delhi. The summary includes:
- The program aims to help participants unlock benefits and gain hands-on experience in Google Cloud over 30 days by completing skill badges and tracks in cloud engineering and data science/machine learning.
- Participants can choose to complete one track for rewards, or both tracks for additional rewards, including a certificate of appreciation from Google and goodies.
- The program will provide training to help participants earn skill badges by completing hands-on labs and assessments to demonstrate their cloud skills.
The document discusses cloud computing and Google Cloud. It defines cloud computing as having five key characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It describes the three main types of cloud services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document then provides an overview of the various compute, storage, artificial intelligence, and other services offered by Google Cloud. It outlines the four main ways to interact with Google Cloud: the Cloud Console, Cloud SDK, Cloud Shell, and APIs. Finally, it discusses projects in Google Cloud, how they are identified, and how to create
The document discusses cloud computing and Google Cloud. It defines cloud computing as having five key characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It describes the three main types of cloud services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It provides an overview of the various compute, storage, artificial intelligence, and other services offered by Google Cloud. It outlines the four main ways to interact with Google Cloud: the Cloud Console, Cloud SDK, Cloud Shell, and APIs. It describes how projects are used in Google Cloud to organize resources and services.
GCCP Session #1 - Getting Started with GCP.pptxRamshaAshraf12
This document provides an agenda and overview for an event about preparing for a career in cloud engineering with Google Cloud Platform. It includes:
1) An introduction welcoming participants and discussing the facilitator's background in Google Cloud.
2) An agenda that covers preparing for cloud careers, an overview of cloud concepts, Google Cloud Platform services, ways to interact with GCP, hands-on labs, and a weekly task.
3) Sections on cloud career opportunities, cloud definitions and models (IaaS, PaaS, SaaS), Google Cloud certifications, and an overview of major GCP services like Compute, Storage, AI/ML, and billing.
4) Information on interacting with
Now is the time to unravel the mysteries of cloud computing. Where all the participants are going to explore cloud by diving into Virtual machines , Servers, Buckets, etc.
It’s a great way for beginners and experienced individuals alike to dive into Google Cloud technologies and enhance their knowledge.
The document provides an overview of Google Cloud, including its fundamental characteristics, service models (IaaS, PaaS, SaaS), compute and storage services, ways to interact with it through the Cloud Console, Cloud SDK, Cloud Shell and APIs, and security and access management using IAM. Key points covered include the five characteristics of cloud computing, differences between IaaS, PaaS and SaaS, Google Cloud's global network and range of services, and how projects, billing and access controls work.
The document outlines an agenda for a session that includes interacting with Discord, an introduction to cloud computing, base concepts, and next week's installations. It also lists a surprise and Q&A session. Additional sections provide information on cloud computing tracks for cloud engineering and data science/machine learning. Concepts around virtual machines, Kubernetes, and load balancing are introduced. The roles of the cloud console, cloud SDK, cloud shell, and APIs for interacting with Google Cloud are summarized.
GDSC BVCOENM - Google Cloud Study Jam October 2021 | Day 1 + Day 2GDSCBVCOENM
The document provides an agenda and overview for a Google Cloud Study Jam event over two days. Day 1 will cover introductions, quizzes on cloud knowledge, an overview of Google Cloud Platform basics and services, and a demonstration. Day 2 will recap Day 1 content and include more advanced GCP topics, storage basics, and another demonstration. The goal is to help participants learn about cloud careers and Google Cloud.
This document provides an overview and agenda for a Cloud Study Jam event. The event is intended to help participants learn Google Cloud Platform skills. The agenda includes completing labs in the Google Cloud Essentials quest on Qwiklabs to learn cloud computing fundamentals. This includes creating virtual machines, deploying containers with Kubernetes, and load balancing. There is a break for sharing experiences. The goal is for participants to complete the quest and earn a badge to unlock continued learning on Qwiklabs. Participants are encouraged to share their progress online.
This document summarizes a training session on Google Cloud services that included discussions of GCP storage services, compute services, and security and IAM. The agenda included segments on GCP storage services, Cloud Security & IAM, and GCP compute services. It provided overviews of various GCP compute options including Compute Engine, Kubernetes Engine, App Engine, and Cloud Functions. It also summarized different GCP storage services and how to determine the best fit based on data and workload characteristics. Additionally, it covered key aspects of security and IAM on GCP including shared responsibility, service accounts, and IAM roles.
This document outlines a 30-day Google Cloud training program for students. It includes two tracks: Cloud Engineering and Data Science & Machine Learning. The Cloud Engineering track involves 6 hands-on labs that teach skills like creating virtual machines, using Cloud Shell and gcloud, and deploying to Kubernetes. Students who complete tracks will earn participation certificates and prizes. Progress will be tracked via Qwiklabs completions and skill badge achievements.
This document provides an introduction to Google Cloud Platform (GCP). It discusses cloud computing and service models like IaaS, PaaS, SaaS. It describes GCP and its global network and regions. It outlines key GCP services like Compute, Storage, Databases, Data Analytics, AI/ML. It explains GCP projects and resource hierarchy. It also discusses different ways to interact with GCP like the Cloud Console, SDKs, APIs and provides a demo.
This document provides information about a Google Cloud Computing Foundations info session, including:
- An overview of cloud computing and some examples of future areas of growth like serverless computing and cloud gaming.
- Details about the benefits of the Google Cloud Study Jam, which include skill badges and completion of labs/courses for cloud foundations.
- Instructions for participants to access the Google Cloud Computing Foundation pathway by redeeming a unique access code in their Skill Boost account and completing all required courses and quests.
- A brief introduction to different ways to interact with Google Cloud, including the Cloud Console web interface, Cloud SDK command line, and Cloud Shell.
The document outlines a 30-day Google Cloud program for university students to prepare them for cloud careers. It includes two tracks: Cloud Engineering and Data Science & Machine Learning. The Cloud Engineering track covers foundational infrastructure tasks like deploying and managing cloud environments and Kubernetes. It also covers networking and security. The Data Science track covers data, machine learning, and AI tasks to prepare students for roles in data and business. Completing the tracks earns students participation certificates, skill badges, and prizes like t-shirts and laptop bags. The document provides an agenda for an introductory session that orients students to Google Cloud and walks through several hands-on labs.
Here's an intro to the 30 Days of Google Cloud program to kickstart your career in the cloud as well as earn exciting prizes & digital badges. To start with, your facilitator, Mohini Gupta, will be taking you on board this journey, explaining you these :
1.) Introduction to the program
2.) About GCP Crash Course
3.) A Tour of Qwiklabs and the Google Cloud Platform Lab
4.) Hands-on lab experience
Are you ready to embark on a journey into the world of cloud computing? If so, don't miss our exclusive Google Cloud Study Jam info session, where you'll discover the exciting opportunities that await you in the cloud!
What's in it for you?
🚀The Complete walk through around the Google Cloud Study Jam
🌐 Google Cloud Skills Boost (GCSB) Subscription
📜 Completion Certificate and Badges
🎁Swags from Google on completion of the program.
🌐 Cloud Insights and Hands-on Practice
👩🏫 Mentorship
📌 Agenda:
📍Get to know the experienced and enthusiastic guide who will lead you through this cloud adventure.
📍What is Cloud Computing?
📍Understand the fundamental concepts of cloud computing and how it's transforming industries worldwide.
📍Why Enroll in the Study Jam?
📍Discover the benefits of participating in this program, from gaining valuable skills to earning certifications.
📍How to Participate in Google Cloud Study Jam
📍Learn about the registration process, study materials, and resources available to you.
📍Career and Internship Opportunities
📍Explore the exciting career prospects and internship opportunities that come with Google Cloud expertise.
📍Q & A Session 🤔❓
📍Ask your burning questions and clarify any doubts in an interactive Q & A session.
See you there! 👋🌥
#GoogleCloudStudyJam
Fore more Info, stay tuned-
http://linktr.ee/gdsc_zhcet
The document provides an agenda and overview for an introductory Google Cloud Study Jam session. It includes:
1. An agenda that covers an introduction to GCSJ, career benefits, a quiz, Q&A, and next steps.
2. An overview of the Google Cloud Study Jam event which is a 30-day self-paced program covering cloud fundamentals, hands-on labs, and a game prompt engineering project.
3. Details about Google Cloud computing foundations courses that include videos, quizzes, and labs on topics like infrastructure, storage, networking, security, data, machine learning, and AI.
The document provides an introduction to Google Cloud Platform (GCP), which is a suite of cloud computing services offered by Google that runs on the same infrastructure as Google's consumer products. GCP includes computing, storage, data analytics, machine learning, and other services. It has a market share of 13% and provides stiff competition to Amazon AWS. Some key elements and services of GCP include Compute Engine, App Engine, Cloud Storage, BigQuery, and Machine Learning Engine. The document also outlines advantages like access from anywhere, competitive pricing and discounts, and strong security measures.
1) The document outlines a 6-week certification study group for the Google Associate Cloud Engineer certification. It includes weekly live sessions, on-demand resources, and community support.
2) It provides an overview of the Associate Cloud Engineer role and certification, assessing skills like setting up cloud solutions, deploying and implementing solutions, and configuring access and security.
3) It previews the topics to be covered each week of the study group, including setting up cloud projects, deploying compute and storage resources, and configuring identity and access management.
30 Days Of Google Cloud Info Session-GDSC AUAKSHATPATEL48
The document summarizes an information session about Google Cloud's 30 Days of Google Cloud program. It provides details about the program such as its duration from September 27th to October 27th, 2021. Participants can choose from two tracks - Cloud Engineering or Data Science & Machine Learning. Completing the tracks earns digital skill badges that demonstrate cloud skills. Registration for the program takes place on September 22nd from 8:30-9:30pm through a registration website. Support is available by email, and completing both tracks provides greater rewards than a single track.
Exploring Google (Cloud) APIs & Cloud Computing overviewwesley chun
This is a 100-minute tech talk designed for developers to give a comprehensive overview of using Google APIs, primarily those from Google Cloud (G Suite and Google Cloud Platform)
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
The document discusses cloud computing and Google Cloud. It defines cloud computing as having five key characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It describes the three main types of cloud services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It provides an overview of the various compute, storage, artificial intelligence, and other services offered by Google Cloud. It outlines the four main ways to interact with Google Cloud: the Cloud Console, Cloud SDK, Cloud Shell, and APIs. It describes how projects are used in Google Cloud to organize resources and services.
GCCP Session #1 - Getting Started with GCP.pptxRamshaAshraf12
This document provides an agenda and overview for an event about preparing for a career in cloud engineering with Google Cloud Platform. It includes:
1) An introduction welcoming participants and discussing the facilitator's background in Google Cloud.
2) An agenda that covers preparing for cloud careers, an overview of cloud concepts, Google Cloud Platform services, ways to interact with GCP, hands-on labs, and a weekly task.
3) Sections on cloud career opportunities, cloud definitions and models (IaaS, PaaS, SaaS), Google Cloud certifications, and an overview of major GCP services like Compute, Storage, AI/ML, and billing.
4) Information on interacting with
Now is the time to unravel the mysteries of cloud computing. Where all the participants are going to explore cloud by diving into Virtual machines , Servers, Buckets, etc.
It’s a great way for beginners and experienced individuals alike to dive into Google Cloud technologies and enhance their knowledge.
The document provides an overview of Google Cloud, including its fundamental characteristics, service models (IaaS, PaaS, SaaS), compute and storage services, ways to interact with it through the Cloud Console, Cloud SDK, Cloud Shell and APIs, and security and access management using IAM. Key points covered include the five characteristics of cloud computing, differences between IaaS, PaaS and SaaS, Google Cloud's global network and range of services, and how projects, billing and access controls work.
The document outlines an agenda for a session that includes interacting with Discord, an introduction to cloud computing, base concepts, and next week's installations. It also lists a surprise and Q&A session. Additional sections provide information on cloud computing tracks for cloud engineering and data science/machine learning. Concepts around virtual machines, Kubernetes, and load balancing are introduced. The roles of the cloud console, cloud SDK, cloud shell, and APIs for interacting with Google Cloud are summarized.
GDSC BVCOENM - Google Cloud Study Jam October 2021 | Day 1 + Day 2GDSCBVCOENM
The document provides an agenda and overview for a Google Cloud Study Jam event over two days. Day 1 will cover introductions, quizzes on cloud knowledge, an overview of Google Cloud Platform basics and services, and a demonstration. Day 2 will recap Day 1 content and include more advanced GCP topics, storage basics, and another demonstration. The goal is to help participants learn about cloud careers and Google Cloud.
This document provides an overview and agenda for a Cloud Study Jam event. The event is intended to help participants learn Google Cloud Platform skills. The agenda includes completing labs in the Google Cloud Essentials quest on Qwiklabs to learn cloud computing fundamentals. This includes creating virtual machines, deploying containers with Kubernetes, and load balancing. There is a break for sharing experiences. The goal is for participants to complete the quest and earn a badge to unlock continued learning on Qwiklabs. Participants are encouraged to share their progress online.
This document summarizes a training session on Google Cloud services that included discussions of GCP storage services, compute services, and security and IAM. The agenda included segments on GCP storage services, Cloud Security & IAM, and GCP compute services. It provided overviews of various GCP compute options including Compute Engine, Kubernetes Engine, App Engine, and Cloud Functions. It also summarized different GCP storage services and how to determine the best fit based on data and workload characteristics. Additionally, it covered key aspects of security and IAM on GCP including shared responsibility, service accounts, and IAM roles.
This document outlines a 30-day Google Cloud training program for students. It includes two tracks: Cloud Engineering and Data Science & Machine Learning. The Cloud Engineering track involves 6 hands-on labs that teach skills like creating virtual machines, using Cloud Shell and gcloud, and deploying to Kubernetes. Students who complete tracks will earn participation certificates and prizes. Progress will be tracked via Qwiklabs completions and skill badge achievements.
This document provides an introduction to Google Cloud Platform (GCP). It discusses cloud computing and service models like IaaS, PaaS, SaaS. It describes GCP and its global network and regions. It outlines key GCP services like Compute, Storage, Databases, Data Analytics, AI/ML. It explains GCP projects and resource hierarchy. It also discusses different ways to interact with GCP like the Cloud Console, SDKs, APIs and provides a demo.
This document provides information about a Google Cloud Computing Foundations info session, including:
- An overview of cloud computing and some examples of future areas of growth like serverless computing and cloud gaming.
- Details about the benefits of the Google Cloud Study Jam, which include skill badges and completion of labs/courses for cloud foundations.
- Instructions for participants to access the Google Cloud Computing Foundation pathway by redeeming a unique access code in their Skill Boost account and completing all required courses and quests.
- A brief introduction to different ways to interact with Google Cloud, including the Cloud Console web interface, Cloud SDK command line, and Cloud Shell.
The document outlines a 30-day Google Cloud program for university students to prepare them for cloud careers. It includes two tracks: Cloud Engineering and Data Science & Machine Learning. The Cloud Engineering track covers foundational infrastructure tasks like deploying and managing cloud environments and Kubernetes. It also covers networking and security. The Data Science track covers data, machine learning, and AI tasks to prepare students for roles in data and business. Completing the tracks earns students participation certificates, skill badges, and prizes like t-shirts and laptop bags. The document provides an agenda for an introductory session that orients students to Google Cloud and walks through several hands-on labs.
Here's an intro to the 30 Days of Google Cloud program to kickstart your career in the cloud as well as earn exciting prizes & digital badges. To start with, your facilitator, Mohini Gupta, will be taking you on board this journey, explaining you these :
1.) Introduction to the program
2.) About GCP Crash Course
3.) A Tour of Qwiklabs and the Google Cloud Platform Lab
4.) Hands-on lab experience
Are you ready to embark on a journey into the world of cloud computing? If so, don't miss our exclusive Google Cloud Study Jam info session, where you'll discover the exciting opportunities that await you in the cloud!
What's in it for you?
🚀The Complete walk through around the Google Cloud Study Jam
🌐 Google Cloud Skills Boost (GCSB) Subscription
📜 Completion Certificate and Badges
🎁Swags from Google on completion of the program.
🌐 Cloud Insights and Hands-on Practice
👩🏫 Mentorship
📌 Agenda:
📍Get to know the experienced and enthusiastic guide who will lead you through this cloud adventure.
📍What is Cloud Computing?
📍Understand the fundamental concepts of cloud computing and how it's transforming industries worldwide.
📍Why Enroll in the Study Jam?
📍Discover the benefits of participating in this program, from gaining valuable skills to earning certifications.
📍How to Participate in Google Cloud Study Jam
📍Learn about the registration process, study materials, and resources available to you.
📍Career and Internship Opportunities
📍Explore the exciting career prospects and internship opportunities that come with Google Cloud expertise.
📍Q & A Session 🤔❓
📍Ask your burning questions and clarify any doubts in an interactive Q & A session.
See you there! 👋🌥
#GoogleCloudStudyJam
Fore more Info, stay tuned-
http://linktr.ee/gdsc_zhcet
The document provides an agenda and overview for an introductory Google Cloud Study Jam session. It includes:
1. An agenda that covers an introduction to GCSJ, career benefits, a quiz, Q&A, and next steps.
2. An overview of the Google Cloud Study Jam event which is a 30-day self-paced program covering cloud fundamentals, hands-on labs, and a game prompt engineering project.
3. Details about Google Cloud computing foundations courses that include videos, quizzes, and labs on topics like infrastructure, storage, networking, security, data, machine learning, and AI.
The document provides an introduction to Google Cloud Platform (GCP), which is a suite of cloud computing services offered by Google that runs on the same infrastructure as Google's consumer products. GCP includes computing, storage, data analytics, machine learning, and other services. It has a market share of 13% and provides stiff competition to Amazon AWS. Some key elements and services of GCP include Compute Engine, App Engine, Cloud Storage, BigQuery, and Machine Learning Engine. The document also outlines advantages like access from anywhere, competitive pricing and discounts, and strong security measures.
1) The document outlines a 6-week certification study group for the Google Associate Cloud Engineer certification. It includes weekly live sessions, on-demand resources, and community support.
2) It provides an overview of the Associate Cloud Engineer role and certification, assessing skills like setting up cloud solutions, deploying and implementing solutions, and configuring access and security.
3) It previews the topics to be covered each week of the study group, including setting up cloud projects, deploying compute and storage resources, and configuring identity and access management.
30 Days Of Google Cloud Info Session-GDSC AUAKSHATPATEL48
The document summarizes an information session about Google Cloud's 30 Days of Google Cloud program. It provides details about the program such as its duration from September 27th to October 27th, 2021. Participants can choose from two tracks - Cloud Engineering or Data Science & Machine Learning. Completing the tracks earns digital skill badges that demonstrate cloud skills. Registration for the program takes place on September 22nd from 8:30-9:30pm through a registration website. Support is available by email, and completing both tracks provides greater rewards than a single track.
Exploring Google (Cloud) APIs & Cloud Computing overviewwesley chun
This is a 100-minute tech talk designed for developers to give a comprehensive overview of using Google APIs, primarily those from Google Cloud (G Suite and Google Cloud Platform)
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Blood finder application project report (1).pdfKamal Acharya
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
Supermarket Management System Project Report.pdfKamal Acharya
Supermarket management is a stand-alone J2EE using Eclipse Juno program.
This project contains all the necessary required information about maintaining
the supermarket billing system.
The core idea of this project to minimize the paper work and centralize the
data. Here all the communication is taken in secure manner. That is, in this
application the information will be stored in client itself. For further security the
data base is stored in the back-end oracle and so no intruders can access it.
Height and depth gauge linear metrology.pdfq30122000
Height gauges may also be used to measure the height of an object by using the underside of the scriber as the datum. The datum may be permanently fixed or the height gauge may have provision to adjust the scale, this is done by sliding the scale vertically along the body of the height gauge by turning a fine feed screw at the top of the gauge; then with the scriber set to the same level as the base, the scale can be matched to it. This adjustment allows different scribers or probes to be used, as well as adjusting for any errors in a damaged or resharpened probe.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Transcat
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
2. Welcome
We are happy to see you here and
glad that you are interested in a
career in cloud and want to learn
more about Google Cloud Platform.
3. Event
Agenda 10 min
1
2 So, What’s the Cloud Anyway?
3 Start with a Solid Platform
4 Weekly Task + Q&A
Your Career in the Cloud
10 min
30 min
10 min
5. Growing adoption of cloud
computing is driving demand for
cloud talent…
Cloud Computing in Higher Education
...and cloud technology requires
teaching and learning new skills.
We’re here to help you get started.
7. 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
8. So, What’s the Cloud
Anyway?
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
9. On-demand
self-service
No human
intervention needed
to get resources
Broad
network
access
Access from
anywhere
Resource
pooling
Provider shares
resources to
consumers
Rapid
elasticity
Get more resources
quickly as needed
Measured
service
Pay only for what
you consume
Cloud computing has five fundamental
characteristics
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
10. Every company is a data company
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
11. ● CPU, memory, storage, and
networking is provided as a
service.
● The user needs to manage
the OS and the application.
● The platform is a managed
service.
● All the user provides is the
application.
● The platform and software
is provided as a service to
the user.
● The user supplies the data.
Infrastructure as a service
(IaaS)
Platform as a service
(PaaS)
Software as a service
(SaaS)
IaaS versus PaaS versus SaaS
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
12. Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
Google Cloud
PoPs and
Network Edge point
of presence
Equiano
(PT, NG, ZA)
2021
Dunant
(US, FR)
2020
SJC
(JP, HK, SG)
2013
JGA-S
(GU, AU)
2019
Indigo
(SG, ID, AU)
2019
Havfrue
(US, IE, DK)
2019
Monet
(US, BR)
2017
Junior
(Rio, Santos)
2018
Tannat
(BR, UY, AR)
2018
Curie
(CL, US)
2019
Faster
(US, JP, TW)
2016
PLCN
(US, TW)
2020
Unity
(US, JP)
2010
Grace Hopper
(US, UK, ES)
2022
Network
15. Vision API Speech-to-Text
API
Cloud
Translation API
AI Platform
Big data
Pub/Sub Dataflow Dataproc
BigQuery AI Platform
Notebooks
Machine learning
AutoML
Google Cloud offers services to get value from data
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
16. Start with a Solid
Platform
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
17. Google Cloud
Console
Web user
interface
>_
Cloud SDK and
Cloud Shell
Command-line
interface
Cloud Console
mobile app
For iOS and
Android
REST-based
API
For custom
applications
There are four ways to interact with Google Cloud
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
18. The Cloud Console provides a web-based GUI for
you to manage Google Cloud projects and
resources
● Centralized console for all project data.
● Execute common tasks using simple
mouse clicks.
● Manage and create projects.
● Access developer tools:
○ Cloud Source Repositories
○ Cloud SDK
○ Cloud Shell
● Access to product APIs.
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
19. Logging in to the Cloud Console
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
20. Interacting with the Cloud Console
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
21. Every Google Cloud service you use is associated
with a project
● Enable services and APIs.
● Enable billing.
● Manage permissions and credentials.
● Track resource and quota usage.
● Programmatically manage your
projects in Google Cloud.
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
22. Project ID Project name Project number
Globally unique Need not be unique Globally unique
Assigned by Google Cloud
but mutable during
creation
Chosen by you Assigned by Google Cloud
Immutable after creation Mutable Immutable
Projects have three identifying attributes
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
24. Creating a project
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
25. Billing account pays for project
resources.
A billing account is linked to zero or
more projects.
Accounts are charged automatically,
invoiced monthly, or invoiced at the
threshold limit.
Sub accounts can be used for
separate billing for projects.
Cloud
Storage
VMs Cloud
APIs
BigQuery Cloud
Network
How billing works
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
26. ●gcloud
●gsutil
●bq
The Cloud SDK is a command-line interface for
Google Cloud products and services
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
27. ● Browser-based CLI access to resources
● No need to install the Cloud SDK or
other tools locally
● Runs on an ephemeral Compute Engine
VM at no cost to you
● 5 GB of persistent disk storage
● Web preview functionality and built-in
authorization for project/resource
access
Cloud Shell
console.cloud.google.com
Cloud SDK
Cloud Console
Cloud Shell is an alternative to the Cloud SDK
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
28. Starting Cloud Shell
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
29. The Cloud Console and Cloud Shell
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
30. The Cloud Shell code editor is a tool for editing files
inside your Cloud Shell environment
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
31. Manage Google Cloud services from your Android
or iOS device
Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program
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, with the help of this training - you learn the foundation concepts of Google Cloud & develop interest in concepts like CC, ML & AI. Using the resources which will be provided to you, you can learn about GCP services and become eligible for such positions.
Cloud technology is now mainstream, with enterprise spending on cloud-based offerings growing faster than spending on traditional IT offerings.
This recent increase in cloud adoption has resulted in a corresponding increase in the need for workers skilled in cloud technologies.
Nearly 80% of worldwide IT departments report a skills gap in cloud-ready talent and
another 50% report that they are struggling to hire skilled professionals.
University students today are primed to fill this skill gap and we’re here to help you prepare them.
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 that will be covered through training sessions starting next week.
Let’s take a look at the second track!
Welcome to So, What’s the Cloud Anyway?, I’m ________________.
Cloud computing has five fundamental characteristics:
First, computing resources are on-demand and self-service. Cloud-computing customers use an automated interface and get the processing power, storage, and network they need, without the typical complex configurations required when building physical servers.
Second, resources are accessible over a network from any location.
Providers allocate resources to consumers from a large pool, allowing them to benefit from economies of scale. The resources exist in multiple locations all over the world, you just have to decide the available geographic location you wish to utilize.
Resources are elastic. If you need more resources you can get them rapidly. And when you need less, you can scale back.
Finally, you pay only for what you use or reserve, as you go. If you stop using resources, you simply stop paying.
Google believes that, in the future, every company—regardless of size or industry—will differentiate itself from its competitors through technology. Largely, that technology will be in the form of software. Great software is centered on data. Therefore, every company is, or will become, a data company.
Google Cloud provides a wide variety of services for managing and getting value from data at scale.
With infrastructure as a service, the service provides the underlying architecture for you to run servers. The resources to run are provided, but it’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 that’s required is that you bring your data to the system. A few commercial examples of SaaS include SAP and Salesforce.
Google’s data centers around the world are interconnected by the Google network, which, by some publicly available estimates, carries as much as 40% of the world’s internet traffic every day. This is the largest network of its kind on Earth, and it continues to grow.
It’s designed to provide the highest possible throughput and the lowest possible latencies for applications.
The network interconnects with the public internet at more than 90 internet exchanges and more than 110 points of presence worldwide. When an internet user sends traffic to a Google resource, Google responds to the user's request from an Edge Network location that will provide the lowest delay or latency. Google’s edge caching network places content close to end users to minimize latency. Applications in Google Cloud can take advantage of this edge network too.
Google Cloud’s products and services can be broadly categorized as Compute, Storage, Big Data, and Machine Learning. Leveraging compute can include virtual machines via Compute Engine, running Docker containers in a managed platform using Google Kubernetes Engine, deploying applications in a managed platform like App Engine, running event-based serverless code using Cloud Functions, or running stateless containers as a managed service like Cloud Run.
A variety of managed storage options are available as well. For unstructured storage there’s Cloud Storage, for managed relational databases there’s Cloud SQL or Cloud Spanner, and for NoSQL, there are options like Datastore or Cloud Bigtable.
Managed services dealing with big data and machine learning are available as well.
Hi, I’m ______.
Welcome to the module Start with a Solid Platform.
There are four ways you can interact with Google Cloud, and we’ll talk about each in turn: the Cloud Console, the Cloud SDK and Cloud Shell, APIs, and the Cloud Console mobile app.
The Cloud Console serves as a centralized console for all of your project data, and lets you execute common tasks using simple mouse clicks with no need to remember commands or avoid typos.
When you use the Cloud Console, the resources that you create are done so in the context of a specific project. You can create multiple projects, so you can use projects to separate your work in whatever way makes sense for you. For example, you might start a new project if you want to make sure only certain team members can access the resources in that project, while all team members can continue to access resources in another project.
The Cloud Console is also great for developers. Cloud Source Repositories provides Git version control to support collaborative development of any application or service.
The Cloud SDK is a set of command-line tools for Google Cloud. You can run these tools interactively or in your automated scripts.
Cloud Shell also provides you with command-line access to your cloud resources directly from your browser, but without having to install the Cloud SDK or other tools on your system. The utilities you need are always available, up to date and fully authenticated when you need them.
The Cloud SDK and Cloud Shell will be discussed in more detail later in this module.
The Cloud SDK includes client libraries that enable you to easily create and manage resources. Google Cloud client libraries expose APIs for two main purposes. App APIs provide access to services and admin APIs offer functionality for resource management.
From a browser, go to console.cloud.google.com. If you haven’t already logged into your Google account, the system will prompt you to enter your credentials. After you log in, the Cloud Console will display the details of your default project.
All Google Cloud services are accessible through the simple menu button in the top-left corner. You can pin frequently used services to this menu.
Projects are the basis for enabling and using Google Cloud services, like managing APIs, enabling billing, adding and removing collaborators, and enabling other Google services. Each project is a separate account, and each resource belongs to exactly one. Projects can have different owners and users. They’re billed separately, and they’re managed separately.
Resource Manager provides ways for you to programmatically manage your projects in Google Cloud. You can access Resource Manager through an RPC API or REST API. With these APIs, you can get a list of all projects associated with an account, create new projects, update existing projects, and delete projects. You can also undelete, or recover, projects that you want to restore.
Each Google Cloud project has a name and project ID that you assign. The project ID is a permanent, unchangeable identifier, and it has to be unique across Google Cloud. While a Project ID will be generated automatically, you can edit it. However, this must be done while creating the new project though as it cannot be modified afterwards. In general, project IDs are made to be human-readable strings, and you’ll use them frequently to refer to projects.
On the other hand, project names are for your convenience, and you can change them. Note though that you can’t reuse the project name of a deleted project.
Google Cloud also assigns each of your projects a unique project number, and you’ll see it displayed to you in various contexts, but using it is mostly outside the scope of this course.
As you work with Google Cloud, you'll use these identifiers in certain command lines and API calls.
To create a project, click on the name of the current project in the upper left portion of the screen.
A list of all current projects will be displayed. Select the New Project option on the right-hand side.
When the New Project screen is displayed, give your project a name. You have the option to use the auto-generated project ID, or create your own by clicking the Edit option. Project IDs must be globally unique. Select the appropriate billing account and organization and then click Create.
Billing in Google Cloud is set up at the Google Cloud project level. When you define a Google Cloud project, you link a billing account to it. This billing account is where you will configure all your billing information, including your payment option.
You can link your billing account to zero or more projects. Projects that you don’t link to any billing account can only use free Google Cloud services.
Your billing account can be charged automatically and invoiced every month, or at every threshold limit.
You can separate project billings by setting up billing subaccounts. Some Google Cloud customers who resell Google Cloud services use sub accounts for each of their own clients.
The Cloud SDK is a set of command-line tools that you can download and install onto a computer of your choice and use to manage resources and applications hosted on Google Cloud.
The gcloud ***gee cloud*** CLI manages authentication, local configuration, developer workflow, and interactions with Google Cloud APIs.
Gsutil ***gee ess util*** provides command line access to manage Cloud Storage buckets and objects.
bq *** bee cue*** allows you to run queries and manipulate datasets, tables, and entities in BigQuery through the command line.
Using Cloud Shell, you can manage your projects and resources easily without having to install the Cloud SDK or other tools locally. The Cloud SDK command-line tools and other utilities are always available, up to date, and fully authenticated.
Your Cloud Shell virtual machine is ephemeral, which means that it will be stopped whenever you stop using it interactively, and it’ll be restarted when you re-enter Cloud Shell. You get five gigabytes of persistent disk storage that is reattached for you every time a new Cloud Shell session is started.
Cloud Shell provides web preview functionality and built-in authorization for access to Cloud Console projects and resources.
To start Cloud Shell, click on the Activate Cloud Shell icon in the upper right side of the screen.
The Cloud Shell terminal will appear on the lower portion of the window. Options, including launching the Cloud Shell code editor and opening Cloud Shell in a new page, can be performed using the tool bar on the upper right corner of Cloud Shell.
The Cloud Shell code editor is a tool for editing files inside your Cloud Shell environment in real time within the web browser. This tool is extremely convenient when working with code-first applications or container-based workloads, because you can edit files easily without the need to download and upload changes. You can also use text editors from the Cloud Shell command prompt.
The Cloud Console mobile app is available for iOS and Android and offers many capabilities.
It allows you to stay connected to the cloud and check billing, status, and critical issues. To see the health of your service at a glance, you can create your own custom dashboard showing key metrics such as CPU usage, network usage, requests per second, server errors, and more.
You can take action to address issues directly from your device such as rolling back a bad release, stopping or restarting a virtual machine, searching logs or even connecting to a virtual machine via SSH.
The monitoring functionality allows you to view and respond to to incidents, errors, and logging. If you need to, you can even access Cloud Shell to perform any gcloud operation.