The document discusses Google Cloud Platform (GCP) and provides an introduction for getting started with GCP over 30 days. It defines cloud computing and explains that GCP runs on the same infrastructure as Google's internal products. The key products and services of GCP are then outlined, including compute, storage, databases, networking, big data, cloud AI, management tools, and security APIs. Advantages of using GCP are listed as higher productivity, less disruption during updates, ability to work remotely, quick collaboration, and more security through centralized data storage. Finally, it encourages getting started with the 30 days of hands-on GCP learning and Q&A.
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 describes a 30-day program for learning Google Cloud called #30DaysofGoogleCloud. The program includes two tracks - Cloud Engineering and Data Science & Machine Learning. Each track involves completing 6 skill badges that involve tasks like creating and managing cloud resources, deploying to Kubernetes, and exploring machine learning models. Completing the program earns a certificate of completion from Google along with skill badges and other rewards. The document provides background on cloud computing and an overview of Google Cloud Platform and how to interact with it.
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.
Getting started with GCP ( Google Cloud Platform)bigdata trunk
This document provides an overview and introduction to Google Cloud Platform (GCP). It begins with introductions and an agenda. It then discusses cloud computing concepts like deployment models and service models. It provides details on specific GCP computing, storage, machine learning, and other services. It describes how to set up Qwiklabs to do hands-on labs with GCP. Finally, it discusses next steps like training and certification for expanding GCP knowledge.
This document summarizes Google Cloud Platform (GCP) learning resources. It provides an overview of GCP services like Compute Engine, App Engine, and Cloud Storage. It then lists various official training resources from Google including courses, exams, and documentation. Links are also provided to the GCP blog, GitHub, and other sources of information about GCP.
The document discusses Google Cloud Platform (GCP) and provides an introduction for getting started with GCP over 30 days. It defines cloud computing and explains that GCP runs on the same infrastructure as Google's internal products. The key products and services of GCP are then outlined, including compute, storage, databases, networking, big data, cloud AI, management tools, and security APIs. Advantages of using GCP are listed as higher productivity, less disruption during updates, ability to work remotely, quick collaboration, and more security through centralized data storage. Finally, it encourages getting started with the 30 days of hands-on GCP learning and Q&A.
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 describes a 30-day program for learning Google Cloud called #30DaysofGoogleCloud. The program includes two tracks - Cloud Engineering and Data Science & Machine Learning. Each track involves completing 6 skill badges that involve tasks like creating and managing cloud resources, deploying to Kubernetes, and exploring machine learning models. Completing the program earns a certificate of completion from Google along with skill badges and other rewards. The document provides background on cloud computing and an overview of Google Cloud Platform and how to interact with it.
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.
Getting started with GCP ( Google Cloud Platform)bigdata trunk
This document provides an overview and introduction to Google Cloud Platform (GCP). It begins with introductions and an agenda. It then discusses cloud computing concepts like deployment models and service models. It provides details on specific GCP computing, storage, machine learning, and other services. It describes how to set up Qwiklabs to do hands-on labs with GCP. Finally, it discusses next steps like training and certification for expanding GCP knowledge.
This document summarizes Google Cloud Platform (GCP) learning resources. It provides an overview of GCP services like Compute Engine, App Engine, and Cloud Storage. It then lists various official training resources from Google including courses, exams, and documentation. Links are also provided to the GCP blog, GitHub, and other sources of information about GCP.
The document provides information about Google Cloud Study Jams, which are community-run training events to help developers learn skills in Google Cloud. It discusses that Study Jams bring community members together for hands-on learning of Cloud tools. Attendees get free access to interactive labs on Qwiklabs and can earn Google Cloud badges. The document outlines recommended tracks for Study Jams, including Deploying Applications, Image Processing, and TensorFlow on GCP. It provides prerequisites and next steps for running a successful Study Jam event.
The Certified Cloud Computing Associate (CCCA) program is designed to provide knowledge, skills, competency and expertise to IT professionals
Find out More : https://globalicttraining.com
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.
Architecting Analytic Pipelines on GCP - Chicago Cloud Conference 2020Mariano Gonzalez
Modernizing analytics data pipelines to gain the most of your data while optimizing costs can be challenging. However, today cloud providers offer a good set of services that can help with this endeavor. We will do a tour across some GCP services during this hands-on session, using DataFlow (apache beam) as the backbone to architect a modern analytics pipeline to wire them all together.
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.
GCP DevOps Online Training - GCP DevOps Training in Ameerpet.pptxeshwarvisualpath
Visualpath is the best GCP DevOps Training in Ameerpet, Providing GCP DevOps Online Training with Real-Time trainers. VisualPath has good placement record. We are providing material, interview questions & Real time projects. Schedule a Demo! Call on +91-9989971070.
whatsApp: https://www.whatsapp.com/catalog/919989971070
Visit : https://visualpath.in/devops-with-gcp-online-training.html
DevOps On Google Cloud Platform Online Training -Visualpath.pptxeshwarvisualpath
Visualpath is the best GCP DevOps Training in Ameerpet,Providing DevOps On Google Cloud Platform Online Training with Real-Time trainers. VisualPath has good placement record. We are providing material, interview questions & Real time projects. Schedule a Demo! Call on +91-9989971070.
whatsApp: https://www.whatsapp.com/catalog/919989971070
Visit : https://visualpath.in/devops-with-gcp-online-training.html
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.
GICT Certified Cloud Computing Specialist (CCCS) provides participants with knowledge about service delivery models and architecture of cloud computing
Find Out More : https://globalicttraining.com
The document provides information about Google Cloud Certification courses offered by Apponix Technology. The course objectives are to learn how to develop, implement, deploy and manage solutions in Google Cloud Platform. Completing the course is expected to lead to salaries of Rs. 7,12,453 per year on average according to payscale.com. There is a large demand for GCP engineers given that over 70% of the cloud services market is held by Google Cloud Platform. The course is recommended due to good salary prospects of Rs. 7,00,000 per year on average in India and overseas opportunities for those with GCP skills.
The document describes a Google Cloud Platform certification training course that aims to teach students how to develop, implement, and deploy solutions in GCP. Instructors have direct experience working with GCP and supporting customers. Completing the course can lead to a career as a GCP engineer with an average salary of Rs 7,12,453 per year given the growing demand and market share of GCP. The training is offered by Apponix based in Bangalore, India.
Cloud Computing & its future - On the perspective of BangladeshTahsin Abrar
A thesis presentation on Cloud computing & its future: On the perspective of Bangladesh. This presentation was presented by Tahsin-Ul-Abrar (Tahsin Abrar) & Hasan Imam (Shahed) and supervised by Md. Javed Hossain.
Google Cloud Platform - for Mobile SolutionsSimon Su
This document discusses Google Cloud Platform solutions for mobile development. It introduces several Google Cloud services useful for mobile backends including Google App Engine, Cloud Endpoints, Cloud Datastore, Google Cloud Messaging, Pub/Sub Messaging and Firebase. It provides overviews of how each service works and how they can help with building mobile apps and backends without having to manage complex infrastructure. The document aims to help mobile developers learn about Google Cloud options for building scalable and flexible cloud-based backends for their mobile applications.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
The document provides information about Google Cloud Study Jams, which are community-run training events to help developers learn skills in Google Cloud. It discusses that Study Jams bring community members together for hands-on learning of Cloud tools. Attendees get free access to interactive labs on Qwiklabs and can earn Google Cloud badges. The document outlines recommended tracks for Study Jams, including Deploying Applications, Image Processing, and TensorFlow on GCP. It provides prerequisites and next steps for running a successful Study Jam event.
The Certified Cloud Computing Associate (CCCA) program is designed to provide knowledge, skills, competency and expertise to IT professionals
Find out More : https://globalicttraining.com
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.
Architecting Analytic Pipelines on GCP - Chicago Cloud Conference 2020Mariano Gonzalez
Modernizing analytics data pipelines to gain the most of your data while optimizing costs can be challenging. However, today cloud providers offer a good set of services that can help with this endeavor. We will do a tour across some GCP services during this hands-on session, using DataFlow (apache beam) as the backbone to architect a modern analytics pipeline to wire them all together.
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.
GCP DevOps Online Training - GCP DevOps Training in Ameerpet.pptxeshwarvisualpath
Visualpath is the best GCP DevOps Training in Ameerpet, Providing GCP DevOps Online Training with Real-Time trainers. VisualPath has good placement record. We are providing material, interview questions & Real time projects. Schedule a Demo! Call on +91-9989971070.
whatsApp: https://www.whatsapp.com/catalog/919989971070
Visit : https://visualpath.in/devops-with-gcp-online-training.html
DevOps On Google Cloud Platform Online Training -Visualpath.pptxeshwarvisualpath
Visualpath is the best GCP DevOps Training in Ameerpet,Providing DevOps On Google Cloud Platform Online Training with Real-Time trainers. VisualPath has good placement record. We are providing material, interview questions & Real time projects. Schedule a Demo! Call on +91-9989971070.
whatsApp: https://www.whatsapp.com/catalog/919989971070
Visit : https://visualpath.in/devops-with-gcp-online-training.html
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.
GICT Certified Cloud Computing Specialist (CCCS) provides participants with knowledge about service delivery models and architecture of cloud computing
Find Out More : https://globalicttraining.com
The document provides information about Google Cloud Certification courses offered by Apponix Technology. The course objectives are to learn how to develop, implement, deploy and manage solutions in Google Cloud Platform. Completing the course is expected to lead to salaries of Rs. 7,12,453 per year on average according to payscale.com. There is a large demand for GCP engineers given that over 70% of the cloud services market is held by Google Cloud Platform. The course is recommended due to good salary prospects of Rs. 7,00,000 per year on average in India and overseas opportunities for those with GCP skills.
The document describes a Google Cloud Platform certification training course that aims to teach students how to develop, implement, and deploy solutions in GCP. Instructors have direct experience working with GCP and supporting customers. Completing the course can lead to a career as a GCP engineer with an average salary of Rs 7,12,453 per year given the growing demand and market share of GCP. The training is offered by Apponix based in Bangalore, India.
Cloud Computing & its future - On the perspective of BangladeshTahsin Abrar
A thesis presentation on Cloud computing & its future: On the perspective of Bangladesh. This presentation was presented by Tahsin-Ul-Abrar (Tahsin Abrar) & Hasan Imam (Shahed) and supervised by Md. Javed Hossain.
Google Cloud Platform - for Mobile SolutionsSimon Su
This document discusses Google Cloud Platform solutions for mobile development. It introduces several Google Cloud services useful for mobile backends including Google App Engine, Cloud Endpoints, Cloud Datastore, Google Cloud Messaging, Pub/Sub Messaging and Firebase. It provides overviews of how each service works and how they can help with building mobile apps and backends without having to manage complex infrastructure. The document aims to help mobile developers learn about Google Cloud options for building scalable and flexible cloud-based backends for their mobile applications.
Similar to [Tech Talk 2.0] Google Cloud Platform (20)
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
4. Cloud Computing - An Introduction
What? Why? When? How?
Practice of
using network
and servers to
operate on data
Local
Computational
Capacity & 24/7
Keep Alive
Host
Applications or
Models on the
Cloud
Cloud Hosting
Platforms (e.g.
GCP)
5. Benefits of Cloud Computing
Accessibility Centralized
Price
Performance
Performance and
Availability
Quick
Deployment
Quick Deployment Visualization
6. Where GCP Comes In?
1. Google Cloud Platform (GCP) Is one of the common platforms for Cloud
Computing
2. Many features put in one place
○ API & Services
○ Compute Engine
○ IAM & Admin
○ SQL
○ Kubernetes etc.
3. Majorly business orientated
4. Easily integratable (Since it’s tied to your Google Account)
9. 1. Un-enrol from “Create and Manage Cloud Resources” if you have enrolled
into it previously
2. Enter this link: https://go.qwiklabs.com/cloud-study-jams-2021 on
INCOGNITO MODE
3. Enrol into “Create and Manage Cloud Resources” and type in the following
code: 1s-educr-commsdsc-9396
Before You Start…
11. What’s Next
1. Do complete the whole course in order to receive a free ONE MONTH PASS
credit.
2. You may view the free pass under “Credits and Subscriptions”
3. Prepare for #GCPBoleh (more info will be shared soon)