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Prakash Vaithilingam

Member since 2022

Bronze League

60030 points
The Arcade Certification Zone August 2024 Earned Ağu 20, 2024 EDT
Migrate MySQL data to Cloud SQL using Database Migration Service Earned Ağu 13, 2024 EDT
Data Lake Modernization on Google Cloud Earned Ağu 8, 2024 EDT
Data Warehousing for Partners: Stream Data with Pub/Sub Earned Ağu 2, 2024 EDT
Data Warehousing for Partners: Migrate Data to BigQuery Earned Ağu 2, 2024 EDT
Data Warehousing for Partners: Process Data with Dataflow Earned Ağu 1, 2024 EDT
Data Warehousing for Partners: Optimize in BigQuery Earned Ağu 1, 2024 EDT
Data Warehousing for Partners: Cloud Data Fusion Pipelines Earned Ağu 1, 2024 EDT
Data Warehousing for Partners: Enable Google Cloud Customers Earned Ağu 1, 2024 EDT
Explore Generative AI with the Gemini API in Vertex AI Earned Ağu 1, 2024 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning Earned Tem 31, 2024 EDT
Data Warehousing for Partners: BigQuery Extended Capabilities Earned Tem 30, 2024 EDT
Data Warehousing for Partners: Process Data with Dataproc Earned Tem 30, 2024 EDT
Introduction to CES and Conversational Agents Earned Tem 30, 2024 EDT
Data Warehousing for Partners: Analyze Data with Looker Earned Tem 29, 2024 EDT
Data Warehousing for Partners: Streaming Analytics Earned Tem 29, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps Earned Tem 29, 2024 EDT
Build and Deploy a Generative AI solution using a RAG framework Earned Tem 26, 2024 EDT
Migrate Cloudera to Google Cloud Earned Tem 24, 2024 EDT
Text Prompt Engineering Techniques Earned Tem 23, 2024 EDT
Vertex AI'da İstem Tasarımı Earned Tem 23, 2024 EDT
Cloudera to Google Cloud Earned Tem 19, 2024 EDT
Create a Secure Data Lake on Cloud Storage Earned Tem 19, 2024 EDT
Generative AI for Business Leaders Earned Tem 19, 2024 EDT
Intro to CCAI and CCAI Engagement Framework Earned Tem 18, 2024 EDT
Inside Track: Install, Deploy and Configure Actifio GO Solutions Earned Tem 18, 2024 EDT
Media Rendering with Google Cloud Earned Tem 17, 2024 EDT
Modernize Infrastructure and Applications with Google Cloud Earned Tem 17, 2024 EDT
Data Lake Modernization on Google Cloud: Data Governance Earned Tem 17, 2024 EDT
Data Lake Modernization on Google Cloud: Intro to Data Lakes Earned Tem 17, 2024 EDT
Cloud Architecture: Design, Implement, and Manage Earned Tem 14, 2024 EDT
Build a Data Warehouse with BigQuery Earned Tem 12, 2024 EDT
Store, Process, and Manage Data on Google Cloud - Command Line Earned Tem 12, 2024 EDT
Store, Process, and Manage Data on Google Cloud - Console Earned Tem 12, 2024 EDT
Monitor and Log with Google Cloud Observability Earned Tem 12, 2024 EDT
Build a Data Mesh with Dataplex Earned Tem 9, 2024 EDT
AWS EC2 to Compute Engine Earned Tem 9, 2024 EDT
Managing Change when Moving to Google Cloud Earned Tem 8, 2024 EDT
Data Warehousing for Partners: Design in BigQuery Earned Tem 8, 2024 EDT
PostgreSQL to Cloud SQL Earned Tem 2, 2024 EDT
Oracle to Cloud Spanner Earned Tem 2, 2024 EDT
Getting Started with Terraform for Google Cloud Earned Nis 24, 2024 EDT
Create and Manage Cloud SQL for PostgreSQL Instances Earned Nis 24, 2024 EDT
Görüntü Üretmeye Giriş Earned Oca 8, 2024 EST
Generative AI Fundamentals Earned Oca 8, 2024 EST
Vertex AI Studio'ya Giriş Earned Oca 2, 2024 EST
Sorumlu Yapay Zeka: Google Cloud ile Yapay Zeka İlkelerinin Uygulanması Earned Ara 21, 2023 EST
Generative AI Fundamentals Earned Ara 21, 2023 EST
Get Started with Dataplex Earned Ara 13, 2023 EST
Sorumlu Yapay Zeka'ya Giriş Earned Ara 11, 2023 EST
Büyük Dil Modellerine Giriş Earned Ara 11, 2023 EST
Üretken Yapay Zekaya Giriş Earned Ara 6, 2023 EST
Sports Data Challenge Earned Ara 18, 2022 EST
MongoDB Atlas on Google Cloud Earned Ara 15, 2022 EST
#GoogleClout Set 9 (8/10) Earned Ara 15, 2022 EST
Holiday Challenge: Automation with CI/CD Pipelines Earned Ara 15, 2022 EST
No Code November 2022 - Apps Scripts Earned Kas 7, 2022 EST
#GoogleClout Set 7 Earned Kas 3, 2022 EDT
#GoogleClout Set 6 (5/10) Earned Kas 3, 2022 EDT
#GoogleClout Set 5 (4/10) Earned Kas 3, 2022 EDT
#GoogleClout Set 3 (2/10) Earned Kas 3, 2022 EDT
#GoogleClout Set 2, 1/10 Earned Kas 3, 2022 EDT
No code november 2022 Earned Kas 3, 2022 EDT
Halloween 2022 Challenge Earned Eki 31, 2022 EDT
Preparing for your Professional Cloud Architect Journey Earned Eki 30, 2022 EDT
Diwali Game 4: Firecrackers and Firebase Earned Eki 27, 2022 EDT
Diwali Game 3: Flowers and Flutter Earned Eki 25, 2022 EDT
Google Cloud Fundamentals: Core Infrastructure Earned Eki 14, 2022 EDT
#GoogleClout Set 11 (10/10) Earned Eyl 27, 2022 EDT
Cloud Healthcare API Earned Ağu 29, 2022 EDT

Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone. Be one of the first 20 people to complete the challenge and earn a 100% discount voucher for your next Google Cloud Digital Leader Examination. Welcome!

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Complete the introductory Migrate MySQL data to Cloud SQL using Database Migration Services skill badge to demonstrate skills in the following: migrating MySQL data to Cloud SQL using different job types and connectivity options available in Database Migration Service and migrating MySQL user data when running Database Migration Service jobs. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

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This course focuses on how you can bring your on-premises data lakes and workloads to Google Cloud to unlock cost savings and scale.

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This course explores how to implement a streaming analytics solution using Pub/Sub.

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This course identifies best practices for migrating data warehouses to BigQuery and the key skills required to perform successful migration.

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This course continues to explore the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataflow.

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Welcome to Optimize in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on optimization.

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This course continues to explore the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Cloud Data Fusion.

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This course discusses the key elements of Google's Data Warehouse solution portfolio and strategy.

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Complete the intermediate Explore Generative AI with the Gemini API in Vertex AI skill badge to demonstrate skills in text generation, image and video analysis for enhanced content creation, and applying function calling techniques within the Gemini API. Discover how to leverage sophisticated Gemini techniques, explore multimodal content generation, and expand the capabilities of your AI-powered projects.

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(This course was previously named Multimodal Prompt Engineering with Gemini and PaLM) This course teaches how to use Vertex AI Studio, a Google Cloud console tool for rapidly prototyping and testing generative AI models. You learn to test sample prompts, design your own prompts, and customize foundation models to handle tasks that meet your application's needs. Whether you are looking for text, chat, code, image or speech generative experiences Vertex AI Studio offers you an interface to work with and APIs to integrate your production application.

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This course explores the Geographic Information Systems (GIS), GIS Visualization, and machine learning enhancements to BigQuery.

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This course explores the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataproc.

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This course explores the different products and capabilities of Customer Engagement Suite (CES) and Conversational agents. Additionally, it covers the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel.

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This course explores how to leverage Looker to create data experiences and gain insights with modern business intelligence (BI) and reporting.

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This course explores how to implement a streaming analytics solution using Dataflow and BigQuery.

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This course on Integrate Vertex AI Search and Conversation into Voice and Chat Apps is composed of a set of labs to give you a hands on experience to interacting with new Generative AI technologies. You will learn how to create end-to-end search and conversational experiences by following examples. These technologies complement predefined intent-based chat experiences created in Dialogflow with LLM-based, generative answers that can be based on your own data. Also, they allow you to porvide enterprise-grade search experiences for internal and external websites to search documents, structure data and public websites.

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Demonstrate your ability to implement updated prompt engineering techniques and utilize several of Gemini's key capacilities including multimodal understanding and function calling. Then integrate generative AI into a RAG application deployed to Cloud Run. This course contains labs that are to be used as a test environment. They are deployed to test your understanding as a learner with a limited scope. These technologies can be used with fewer limitations in a real world environment.

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This skill badge aims to evaluate a partner's ability to migrate data from Cloudera to Google Cloud Platform. Learners will gain hands-on experience through labs and achieve comprehensive knowledge and practical skills for migrating data from Cloudera to Google Cloud Platform.

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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.

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Vertex AI'da istem mühendisliği, görüntü analizi ve çok modlu üretken teknikler gibi becerileri göstermek için Vertex AI'da İstem Tasarımı beceri rozetini tamamlayın. Etkili istemlerin nasıl oluşturulacağını, üretken yapay zeka çıktılarına nasıl rehberlik edileceğini ve Gemini modellerinin gerçek dünyadaki pazarlama senaryolarına nasıl uygulanacağını keşfedin. Ein Beceri rozeti, Google Cloud ürün ve hizmetlerine ilişkin uzmanlığınızın tanınması amacıyla Google Cloud tarafından verilen özel bir dijital rozettir ve bilginizi etkileşimli, uygulamalı bir ortamda uygulama yeteneğinizi test eder. Ağınızla paylaşabileceğiniz bir beceri rozeti almak için bu beceri rozeti kursunu ve son değerlendirme yarışması laboratuvarını tamamlayın. Bu aktiviteyi tamamlayın ve bir rozet kazanın! Geliştirdiğiniz becerileri herkese göstererek bulut üstüne kariyerinizi geliştirin.

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from five products hosted on Cloudera or Hortonworks to corresponding Google Cloud services and hosted products. The migration solutions addressed will be: HDFS data to Google Cloud Dataproc and Cloud Storage Hive data to Cloud Dataproc and the Cloud Dataproc Metastore Hive data to Google Cloud BigQuery Impala data to Google Cloud BigQuery HBase to Google Cloud Bigtable Sample data will be used during all five migrations. Learners will complete several labs that focus on the process of transferring schema, data and related processes to corresponding Google Cloud products.There will be one or more challenge labs that will test the learners understanding of the topics.

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Earn a skill badge by completing the Create a Secure Data Lake on Cloud Storage quest, where you use Cloud Storage, IAM, and Dataplex together to create a secure data lake on Google Cloud.

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A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.

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This is a introductory course to all solutions in the Contact Centre AI (CCAI) portfolio and the Generative AI features that are poised to transform them. The course also explores the CCAI go to market and engagement model, the business case around CCAI, as well as the use cases and user personas addressed by the solution.

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Actifio GO for Google Cloud is a SaaS offering which enables powerful enterprise class backup and recovery for Google Cloud resident and on-premises workloads. Actifio now supports backup, disaster recovery and rapid database cloning of Oracle on Bare Metal Solution on Google Cloud besides other enterprise workloads including SAP HANA, SQL Server, and others. This course provides a deep dive into at the preparation and deployment of the Actifio GO solution and its constituent components. Each module contains demos and explanations of each component. The Actifio GO training was originally designed for and only made available to Google Teams, however we’ve recognized how beneficial it would be for our Partners and are now offering our Partners exclusive access to the Actifio training and products, so they can benefit from the demos and best practices and bring them to their Google Cloud Customers.

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This course acquaints learners with the benefits of using Google Cloud to create large-scale visual effects rendering for image and video content. These benefits include creating a rendering infrastructure on-demand in a cost-effective manner by using partner solutions or your own custom solution. The course also covers Compute Engine, managed instance groups, and storage.

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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Welcome to Data Governance, where we discuss how to implement data governance on Google Cloud.

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Welcome to Intro to Data Lakes, where we discuss how to create a scalable and secure data lake on Google Cloud that allows enterprises to ingest, store, process, and analyze any type or volume of full fidelity data.

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Earn a skill badge by completing the Cloud Architecture: Design, Implement, and Manage to demonstrate skills in the following: deploy a publicly accessible website using Apache web servers, configure a Compute Engine VM using startup scripts, configure secure RDP using a Windows Bastion host and firewall rules, build and deploy a Docker image to a Kubernetes cluster and then update it, and create a CloudSQL instance and import a MySQL database. This skill badge is a great resource for understanding topics that will appear in the Google Cloud Certified Professional Cloud Architect certification exam.

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Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.

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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.

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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.

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Complete the introductory Monitor and Log with Google Cloud Observability skill badge course to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics.

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Complete the introductory Build a Data Mesh with Dataplex skill badge to demonstrate skills in the following: building a data mesh with Dataplex to facilitate data security, governance, and discovery on Google Cloud. You practice and test your skills in tagging assets, assigning IAM roles, and assessing data quality in Dataplex.

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Migration from AWS EC2 to Google Cloud Compute Engine using Migrate to Virtual Machines (v5) using demo VM(s). It provides a proof-of-concept that walks you through the process of replicating a VM to doing test cutover and final cutover of the VM.

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Moving to the cloud creates numerous opportunities to start working in a new way and it empowers the workforce to better collaborate and innovate. But it’s also a big change. Sometimes the success of the change hinges not on the change itself, but on how it’s managed. This course will help people managers to understand some of the key challenges associated with cloud adoption, and provide them with a verified in-the-field framework that will assist them in supporting their teams on the change journey. By addressing the human factor of moving to the cloud, organizations increase their chances of realizing business objectives and investing in their future talent.

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Welcome to Design in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on schema design.

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from PostgreSQL to CloudSQL using the Database Migration Service.

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Migration from Oracle to Cloud Spanner using HarbourBridge. This course describes an example scenario that uses sample data during the migration. This process includes using HarbourBridge for Assessment, Schema Conversion, Schema Transformation, Data Migration, and supporting tools for data validation.

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This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure. Learners will get hands-on practice building and managing Google Cloud resources using Terraform.

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Complete the introductory Create and Manage Cloud SQL for PostgreSQL Instances skill badge to demonstrate skills in the following: migrating, configuring, and managing Cloud SQL for PostgreSQL instances and databases.

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Bu kursta, görüntü üretme alanında gelecek vadeden bir makine öğrenimi modelleri ailesi olan "difüzyon modelleri" tanıtılmaktadır. Difüzyon modelleri fizikten, özellikle de termodinamikten ilham alır. Geçtiğimiz birkaç yıl içinde, gerek araştırma gerekse endüstri alanında difüzyon modelleri popülerlik kazandı. Google Cloud'daki son teknoloji görüntü üretme model ve araçlarının çoğu, difüzyon modelleri ile desteklenmektedir. Bu kursta, difüzyon modellerinin ardındaki teori tanıtılmakta ve bu modellerin Vertex AI'da nasıl eğitilip dağıtılacağı açıklanmaktadır.

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Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI courses. By passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI. A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.

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Bu kursta Vertex AI Studio tanıtılmaktadır. Bu araç, üretken yapay zeka modelleriyle etkileşime geçmek, kurumsal fikirlerin prototipini oluşturmak ve bunları gerçek hayatta uygulamak için kullanılır. Gerçek hayattan kullanım alanları, etkileşimli dersler ve uygulamalı laboratuvarlar aracılığıyla, ilk istemden son ürüne uzanan yaşam döngüsünü keşfedecek ve çoklu format destekli Gemini uygulamaları, istem tasarımı, istem mühendisliği ve model ayarlama konularında Vertex AI Studio'dan nasıl yararlanabileceğinizi öğreneceksiniz. Bu kursun amacı, Vertex AI Studio'yu kullanarak projelerinizde üretken yapay zekadan yararlanabilmenizi sağlamaktır.

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Kurumsal yapay zeka ve makine öğreniminin kullanımı artmaya devam ettikçe, bunu sorumlu bir şekilde oluşturmanın önemi de artıyor. Sorumlu yapay zeka hakkında konuşmanın, onu uygulamaya koymaktan çok daha kolay olabilmesi burada bir zorluk oluşturmaktadır. Kuruluşunuzda sorumlu yapay zekayı nasıl işlevsel hale getireceğinizi öğrenmekle ilgileniyorsanız, bu kurs tam size göre. Bu kurs, Google Cloud'un sorumlu yapay zeka yaklaşımını nasıl uyguladığını derinlemesine inceleyerek, kendi sorumlu yapay zeka stratejinizi oluşturmanız için size kapsamlı bir çerçeve sunuyor.

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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI. A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.

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Complete the introductory Get Started with Dataplex skill badge to demonstrate skills in the following: creating Dataplex assets, creating aspect types, and applying aspects to entries in Dataplex.

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Bu kurs, sorumlu yapay zekanın ne olduğunu, neden önemli olduğunu ve Google'ın sorumlu yapay zekayı ürünlerinde nasıl uyguladığını açıklamayı amaçlayan giriş seviyesinde bir mikro öğrenme kursudur. Ayrıca Google'ın 7 yapay zeka ilkesini de tanıtır.

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Bu giriş seviyesi mikro öğrenme kursunda büyük dil modelleri (BDM) nedir, hangi kullanım durumlarında kullanılabileceği ve büyük dil modelleri performansını artırmak için nasıl istem ayarlaması yapabileceğiniz keşfedilecektir. Ayrıca kendi üretken yapay zeka uygulamalarınızı geliştirmenize yardımcı olacak Google araçları hakkında bilgi verilecektir.

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Bu, üretken yapay zekanın ne olduğunu, nasıl kullanıldığını ve geleneksel makine öğrenme yöntemlerinden nasıl farklı olduğunu açıklamayı amaçlayan giriş seviyesi bir mikro öğrenme kursudur. Ayrıca kendi üretken yapay zeka uygulamalarınızı geliştirmenize yardımcı olacak Google Araçlarını da kapsar.

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GOOOOAALLL! Get practical experience on the fundamentals of sports data science no matter who you're cheering for in this week's matches. Use BigQuery ML to train advanced models to predict goals and evaluate performance. Complete labs to learn new skills and earn the badge. No prior experience needed!

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Discover the ease of an integrated multi-cloud database with data services that simplify database deployment and management. Get practical experience using MongoDB Atlas on Google Cloud and unlock the power of a flexible document data model that makes data easier to work with in a global, scalable, fully-managed, and elastic service. Come expecting to learn, Building a Cloud Run application that leverages Atlas App Services to call Cloud Natural Language Processing and carry out sentiment analysis, Running a MongoDB Database in Kubernetes with StatefulSets and Ingesting New Datasets into BigQuery

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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.

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A CI/CD pipeline automates your software delivery process. That means it can build code, run tests, and deploy safely. Especially useful when some (or most!) of your team is enjoying a holiday. Learn how Google Cloud can help you automate your processes, just in time for a hot chocolate break.

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No-code development platforms allow programmers and non-programmers alike to build beautiful, useful apps. Complete labs to learn new skills and earn the badge. No experience needed!

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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.

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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.

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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.

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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.

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Flex your Google Clout! Each day unlocks a new cloud puzzle. Complete all five and you’ll earn the inaugural Google Cloud badge! Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.

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No-code development platforms allow programmers and non-programmers alike to build beautiful, useful apps. Complete labs to learn new skills and earn the badge. No experience needed!

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Moving to the cloud can be scary. You don’t have to do it alone! Google Cloud partners are here to help. Join the challenge and get hands-on experience with how the partner ecosystem can help clear the creepy fog and light your way.

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This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

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Why celebrate Diwali with firecrackers when you can use Firebase? Learn how to import data into a Firestore database, create a build pipeline with Cloud Build to automate deployments, and build a Google Assistant application. Earn the badge for an arcade point and get one step closer to your swag goal. (OK fine, firecrackers are fun too.)

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Are you feeling the festive vibes? Add some Flutter to your flowers when you join this game. Get hands-on experience with Flutter - Google’s UI toolkit for building beautiful, natively compiled applications for mobile, web, and desktop from a single codebase. Earn the badge for an arcade point and get one step closer to your swag goal. Bonus- You’ll also earn the Flutter Essentials badge! 

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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.

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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.

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Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.

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