heni kothari
Member since 2025
Implement Speech and Language Solutions with Pre-trained APIs
Earned Haz 10, 2026 EDT
Google Cloud'da Uygulama Geliştirme Ortamı Oluşturma
Earned Haz 5, 2026 EDT
Introduction to Data Analytics on Google Cloud
Earned Haz 3, 2026 EDT
Manage Data Models in Looker
Earned Haz 3, 2026 EDT
Logic Log
Earned Haz 2, 2026 EDT
Skill Up Summer
Earned May 29, 2026 EDT
Organize and Govern Data with Knowledge Catalog
Earned May 29, 2026 EDT
Arcade Base Camp May 2026
Earned May 27, 2026 EDT
Boost Productivity with Gemini in BigQuery
Earned May 26, 2026 EDT
Arcade Adventure: Modern App Deployment
Earned May 25, 2026 EDT
Work with Gemini Models in BigQuery
Earned May 22, 2026 EDT
Arcade Voyage: Data Governance and Firebase Foundations
Earned May 22, 2026 EDT
Using BigQuery Machine Learning for Inference
Earned May 14, 2026 EDT
Using the Google Cloud Speech API
Earned May 7, 2026 EDT
Work Meets Play: Expressive Efficiency
Earned May 5, 2026 EDT
Dönüştürücü Modelleri ve BERT Modeli
Earned May 1, 2026 EDT
Running SAP Workloads on Google Cloud: Fundamentals
Earned Nis 30, 2026 EDT
Arcade Adventure: GKE Operations and Networking
Earned Nis 29, 2026 EDT
Works Meet Play: Skills Spawn
Earned Nis 24, 2026 EDT
Agent Assist and its Gen AI Capabilities
Earned Nis 24, 2026 EDT
Implement Cloud Collaboration and Productivity Workflows
Earned Nis 23, 2026 EDT
Gemini for Data Scientists and Analysts
Earned Nis 15, 2026 EDT
Dialogue Design
Earned Nis 15, 2026 EDT
Agent Platform'da İstem Tasarımı
Earned Nis 14, 2026 EDT
Explore Generative AI in Agent Platform
Earned Nis 14, 2026 EDT
The Basics of Google Cloud Compute
Earned Nis 10, 2026 EDT
[DEPRECATED]-Google Cloud Computing Foundations: Cloud Computing Fundamentals - Turkish
Earned Nis 10, 2026 EDT
Earn the Introductory Skill Badge by completing the Implement Speech and Language Solutions with Pre-trained APIs course, where you learn how to use speech related API tools to synthesise and transcribe speech.
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Google Cloud'da Uygulama Geliştirme Ortamı Oluşturma kursunu tamamlayarak beceri rozeti kazanın. Bu kursta Cloud Storage, Identity and Access Management, Cloud Functions ve Pub/Sub gibi teknolojilerin temel özelliklerini kullanarak depolama odaklı bulut altyapısı oluşturma ve bu altyapıyla bağlantı kurmayı öğreneceksiniz.
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In this beginner-level course, you will learn about the Data Analytics workflow on Google Cloud and the tools you can use to explore, analyze, and visualize data and share your findings with stakeholders. Using a case study along with hands-on labs, lectures, and quizzes/demos, the course will demonstrate how to go from raw datasets to clean data to impactful visualizations and dashboards. Whether you already work with data and want to learn how to be successful on Google Cloud, or you’re looking to progress in your career, this course will help you get started. Almost anyone who performs or uses data analysis in their work can benefit from this course.
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Complete the intermediate Manage Data Models in Looker skill badge course to demonstrate skills in the following: maintaining LookML project health; utilizing SQL runner for data validation; employing LookML best practices; optimizing queries and reports for performance; and implementing persistent derived tables and caching policies.
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Building a reliable platform for data analysis requires structured data modeling and clean, maintainable code. In this challenge, you’ll start with the building blocks of LookML, creating custom dimensions, measures, and derived tables to shape your data exactly how you need it. From there, you'll work on making your platform faster and easier to use by setting up caching, defining datagroups, and modularizing your code using extends. By following these development best practices, you'll walk away knowing how to build efficient, scalable data models that your team can easily rely on.
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A season to build, experiment, and grow—one skill at a time. You’ll start with the fundamentals of networking, creating the foundation that connects everything together. From there, you’ll step into automation and application development using Cloud Scheduler, App Engine, and machine learning APIs. By the end, you’ll have a more confident, hands-on understanding of how modern applications are built, connected, and run on the cloud.
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Complete the introductory Organize and Govern Data with Knowledge Catalog skill badge to demonstrate skills in the following: creating Knowledge Catalog assets, creating aspect types, and applying aspects to entries in Knowledge Catalog.
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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
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This course explores Gemini in BigQuery, a suite of AI-driven features to assist data-to-AI workflow. These features include data exploration and preparation, code generation and troubleshooting, and workflow discovery and visualization. Through conceptual explanations, a practical use case, and hands-on labs, the course empowers data practitioners to boost their productivity and expedite the development pipeline.
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Building and running applications on Google Cloud can take many forms—and this adventure brings them together. Get hands-on with App Engine, Cloud Run, Kubernetes Engine, and Compute Engine as you deploy applications, manage scaling, and explore modern architectures, including the shift from monolithic to microservices.
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This course demonstrates how to use AI/ML models for generative AI tasks in BigQuery. Through a practical use case involving customer relationship management, you learn the workflow of solving a business problem with Gemini models. To facilitate comprehension, the course also provides step-by-step guidance through coding solutions using both SQL queries and Python notebooks.
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Working with data and applications requires the right balance of governance and agility. In this voyage, you’ll use Dataplex to organize, secure, and assess data quality while exploring concepts like data mesh. Alongside, you’ll get hands-on with Firebase—building serverless apps, working with Firestore, and managing data in real time—bringing together modern data management and application development.
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Learn about BigQuery ML for Inference, why Data Analysts should use it, its use cases, and supported ML models. You will also learn how to create and manage these ML models in BigQuery.
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Earn a skill badge by completing the Using the Google Cloud Speech API skill badge course, where you learn how create a Speech-to-Text API request, transcribe audio speech to text, and transcribe speech.
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As platforms grow, maintaining speed, reliability, and seamless user experiences becomes critical. Inspired by Bobble AI and its journey to support millions of real-time interactions, this challenge explores how cloud-native systems are designed for efficiency at scale. You’ll work with Docker and Kubernetes to run and orchestrate applications, while also using IAM, Cloud Storage, and Monitoring to manage access, data, and performance. The result: a clearer view of how the right mix of containers, automation, and observability keeps modern applications fast, resilient, and efficient.
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Bu kurs, dönüştürücü mimarisini ve dönüştürücülerden çift yönlü kodlayıcı temsilleri (BERT - Encoder Representations from Transformers) modelini tanıtmaktadır. Kursta, öz dikkat mekanizması gibi dönüştürücü mimarisinin ana bileşenlerini ve BERT modelini oluşturmak için dönüştürücünün nasıl kullanıldığını öğreneceksiniz. Ayrıca sınıflandırma, soru yanıtlama ve doğal dil çıkarımı gibi BERT'in kullanılabileceği çeşitli görevler hakkında da bilgi sahibi olacaksınız. Kursun tahmini süresi 45 dakikadır.
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Ready to build an AI-ready future for your SAP applications? Modernization isn't just about moving to the cloud anymore—it’s about centralizing your enterprise data so AI agents have the context to make accurate and real-time decisions. In this course, you'll walk away with a clear mental model of the different options to deploy your SAP landscape, centralize your enterprise data, and build impactful agentic solutions.
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Google Kubernetes Engine (GKE) is all about running and managing containerized applications without worrying too much about the underlying setup. In this adventure, you’ll get hands-on with how things actually work—managing workloads, debugging issues, and trying out autoscaling. You’ll also explore Autopilot, run load tests, and work with private clusters and network access. By the end, you’ll have a clearer sense of how GKE setups are put together and handled in practice.
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Online games can get unpredictable. One update drops, a new event goes live—and suddenly, thousands of players are logging in at the same time. That’s where the backend really gets tested. Companies like Com2uS rely on cloud infrastructure to handle exactly this kind of pressure without things falling apart. Here, you’ll work through the same building blocks—setting up networks, handling secure connections, and deploying apps with Docker and Kubernetes. You’ll add authentication, keep an eye on things with logging, and move data when needed. It’s the kind of work that keeps everything running smoothly while players just focus on the game.
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Unlock the power of generative AI to create intelligent, automated agents. After completing this course, you'll be equipped to develop a data store agent that can instantly answer complex questions by automatically extracting and synthesizing information from your websites, documents, or structured data. Say goodbye to static FAQs—your new agent will provide dynamic, accurate answers and even surface the original source URLs, all with a simple and rapid setup. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Earn an introductory skill badge by completing the Implement Cloud Collaboration and Productivity Workflows course, where you will get introduced to Google's collaborative platform and learn to use Gmail, Calendar, Meet, Drive, Sheets, and AppSheet.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.
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78%—or nearly 8 in 10—business leaders say Google Cloud helps them stay ahead in the age of AI. A big part of that comes down to how teams build and connect intelligent systems. Here, you’ll build and manage conversational agents, and use speech-to-text and translation APIs to handle different types of input. You’ll also move from monolithic apps to microservices on GKE, connect workflows using webhooks, and use observability tools to keep track of what’s happening. IAM comes in as well to manage access where needed. It’s a practical look at how these pieces are used together in real setups.
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Agent Platform'da istem mühendisliği, görüntü analizi ve çok modlu üretken teknikler gibi becerileri göstermek için Agent Platform'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.
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Complete the intermediate Explore Generative AI in Agent Platform 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. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.
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Google Cloud Computing Foundations kursunda, bulut bilişimi alanında daha önce çalışmamış veya bu konuda hiç deneyimi olmayan bireylere;
temel bulut kavramları, büyük veri, makine öğrenimi gibi kavramlar ve Google Cloud'un bu kavramlarla hangi noktada,
nasıl birlikte çalıştığı ayrıntılı bir genel bakışla anlatılır.
Kursun sonunda öğrenciler bulut bilişimi, büyük veri ve makine öğrenimi konularında
fikir yürütüp bazı becerileri pratik olarak sergileyebilecek seviyeye ulaşacaktır.
Bu kurs, Google Cloud Computing Foundations adlı kurs serisinin bir parçasıdır.
Kurslar aşağıdaki sırayla tamamlanmalıdır:
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales
İlk kursta bulut bilişimi, Google Cloud'u k…
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