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Wykorzystuj swoje umiejętności w konsoli Google Cloud

VINAY KUMAR

Jest członkiem od 2024

Implement CI/CD Pipelines on Google Cloud Earned gru 24, 2025 EST
Encoder-Decoder Architecture Earned paź 31, 2025 EDT
Attention Mechanism Earned paź 31, 2025 EDT
Introduction to Image Generation Earned paź 31, 2025 EDT
The Arcade Trivia December 2024 Week 2 Earned gru 13, 2024 EST
[DEPRECATED] Basic Performance Measurement Earned lis 28, 2024 EST
Advanced Conversation Design Earned lis 25, 2024 EST
Conversation Design Fundamentals Earned lis 25, 2024 EST
Conversational AI Voice and Chat Integrations Earned lis 25, 2024 EST
[Deprecated] Advanced Webhook Concepts Earned lis 25, 2024 EST
Customer Experience with Google AI Architecture Earned lis 25, 2024 EST
Level 3: Google Cloud Functions Earned sie 31, 2024 EDT
The Arcade Trivia August 2024 Week 3 Earned sie 29, 2024 EDT
The Arcade Trivia August 2024 Week 1 Earned sie 29, 2024 EDT
Get Started with Dataplex Earned sie 3, 2024 EDT
Store, Process, and Manage Data on Google Cloud - Command Line Earned sie 2, 2024 EDT
Build Serverless Applications with Cloud Run Functions Earned sie 2, 2024 EDT
Build LookML Objects in Looker Earned sie 2, 2024 EDT
Deploy Kubernetes Applications on Google Cloud Earned sie 2, 2024 EDT
Implement DevOps Workflows in Google Cloud Earned sie 2, 2024 EDT
Scaling with Google Cloud Operations Earned sie 1, 2024 EDT
Trust and Security with Google Cloud Earned sie 1, 2024 EDT
Modernize Infrastructure and Applications with Google Cloud Earned sie 1, 2024 EDT
Innovating with Google Cloud Artificial Intelligence Earned sie 1, 2024 EDT
Exploring Data Transformation with Google Cloud Earned sie 1, 2024 EDT
Digital Transformation with Google Cloud Earned sie 1, 2024 EDT
App Engine: 3 Ways Earned lip 31, 2024 EDT
Get Started with Eventarc Earned lip 31, 2024 EDT
Secure BigLake Data Earned lip 31, 2024 EDT
Analyze Sentiment with Natural Language API Earned lip 29, 2024 EDT
Configure Service Accounts and IAM Roles for Google Cloud Earned lip 29, 2024 EDT
Get Started with API Gateway Earned lip 29, 2024 EDT
Get Started with Pub/Sub Earned lip 28, 2024 EDT
Get Started with Looker Earned lip 28, 2024 EDT
Build Real World AI Applications with Gemini and Imagen Earned lip 28, 2024 EDT
Monitor and Manage Google Cloud Resources Earned lip 28, 2024 EDT
Store, Process, and Manage Data on Google Cloud - Console Earned lip 28, 2024 EDT
Konfigurowanie środowiska programistycznego w Google Cloud Earned lip 28, 2024 EDT
[DEPRECATED] Advanced Performance Measurement Earned lip 27, 2024 EDT
[DEPRECATED] Webhook fundamentals Earned lip 27, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud - Polski Earned lip 27, 2024 EDT
Introduction to Responsible AI - Polski Earned lip 27, 2024 EDT
Introduction to Large Language Models - Polski Earned lip 27, 2024 EDT
Introduction to Generative AI - Polski Earned lip 27, 2024 EDT

Earn the intermediate skill badge by completing the Implement CI/CD Pipelines on Google Cloud skill badge course where you learn how to use Artifact Registry, Cloud Build, and Cloud Deploy. You interact with the Google Cloud console, Google Cloud CLI, Cloud Run, and GKE. This course teaches you how to build continuous integration pipelines, store and secure artifacts, scan for vulnerabilities, attest to the validity of approved releases. Additionally, you get hands-on experience deploying applications to both GKE and Cloud Run.

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This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.

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This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.

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This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.

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Hey there! You're invited to game on with the Arcade Trivia for December Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 2 badge!

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This course explores the fundamentals of the feedback loop process for Virtual Agent development and introduces the native capabilities within Dialogflow CX that support it

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In this course, you will learn the advanced conversational design principles for both the Voice and Caht channels to craft engaging and effective end-to-end experiences that emulate human-like interactions.

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This course explores the foundational principles of conversation design to craft engaging and effective chatbot experiences that emulate human-like experiences.

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Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.

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This course explores advanced technical considerations to optimize Webhook connectivity for comprehensive, end-to-end, Virtual Agent self-service experiences.

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In this course you will learn the key architectural considerations that need to be taken into account when designing for the implementation of Conversational AI solutions.

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Earn an exclusive Google Cloud Credential by gaining hands-on experience with Google Cloud Functions. Learn to create and deploy serverless functions across various programming languages, including Node.js, .NET, PHP, Ruby, and Python. Ideal for everyone, even if you are new to the cloud!

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Hey there! You're invited to game on with the Arcade Trivia for August Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the August Trivia Week 3 badge!

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Hey there! You're invited to game on with the Arcade Trivia for August Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the August Trivia Week 1 badge!

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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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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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Earn a Introductory skill badge by completing the Build Serverless Applications with Cloud Run Functions course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line.

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Complete the introductory Build LookML Objects in Looker skill badge course to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements.

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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.

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Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating git repositories with Cloud Source Repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE.

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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. 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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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud. 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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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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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes. 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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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible. 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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There's much excitement about cloud technology and digital transformation, but often many unanswered questions. For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin? If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.

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Earn a skill badge by completing the App Engine`:` 3 ways course, where you learn how to use App Engine with Python, Go, and PHP.

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Earn a skill badge by completing the Get Started with Eventarc skill badge course, where you use Eventarc to create event triggers for different resources including Pub/Sub topics and Cloud Storage buckets.

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Complete the introductory Secure BigLake Data skill badge course to demonstrate skills with IAM, BigQuery, BigLake, and Dataplex to create and secure BigLake tables.

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Earn a skill badge by completing the Analyze Sentiment with Natural Language API quest, where you learn how the API derives sentiment from text.

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Earn the Introductory skill badge by completing the Configure Service Accounts and IAM Roles for Google Cloud course, where you learn about service accounts, custom roles, and how to set permissions using gcloud .

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Earn a skill badge by completing the Get Started with API Gateway skill badge course, where you learn how to use API Gateway to deploy, secure, and manage APIs with a fully managed gateway.

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Earn a skill badge by completing the Get Started with Pub/Sub skill badge course, where you learn how to use Pub/Sub through the Cloud console, how Cloud Scheduler jobs can save you effort, and when Pub/Sub Lite can save you money on high-volume event ingestion.

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Earn a skill badge by completing the Get Started with Looker skill badge course, where you learn how to analyze, visualize, and curate data using Looker Studio and Looker.

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Complete the introductory Build Real World AI Applications with Gemini and Imagen skill badge to demonstrate skills in the following: image recognition, natural language processing, image generation using Google's powerful Gemini and Imagen models, deploying applications on the Vertex AI platform.

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Complete the introductory Monitor and Manage Google Cloud Resources skill badge to demonstrate skills in the following: granting and revoking IAM permissions; installing monitoring and logging agents; creating, deploying, and testing an event-driven Cloud Run function.

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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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Aby zdobyć odznakę umiejętności, ukończ szkolenie Konfigurowanie środowiska programistycznego w Google Cloud, w trakcie którego dowiesz się, jak utworzyć i podłączyć infrastrukturę w chmurzę do przechowywania danych przy użyciu podstawowych funkcji technologii Cloud Storage, Identity and Access Management, Cloud Functions oraz Pub/Sub.

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In this course, you will learn about advanced methods and tools to monitor the performance of your virtual agents in Dialogflow CX

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In this course, you will learn the important role that different types of webhooks play in Dialogflow CX development, and how to effectively integrate them into your routine configuration of a Virtual Agent.

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Im szerzej wykorzystuje się w firmach sztuczną inteligencję i systemy uczące się, tym większej wagi nabiera odpowiedzialne podejście do opracowywania tych technologii. Wielu organizacjom trudniej jest jednak wprowadzić zasady odpowiedzialnej AI w praktyce niż tylko o tym rozmawiać. To szkolenie jest przeznaczone dla osób, które chcą się dowiedzieć, jak wdrożyć odpowiedzialną AI w swojej organizacji. W jego trakcie dowiesz się, jak robimy to w Google Cloud, oraz poznasz sprawdzone metody i wnioski z naszych działań w tym zakresie. Pomoże Ci to opracować własne podejście do odpowiedzialnej AI.

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Celem tego szybkiego szkolenia dla początkujących jest wyjaśnienie, czym jest odpowiedzialna AI i dlaczego jest ważna, oraz przedstawienie, jak Google wprowadza ją w swoich usługach. Szkolenie zawiera także wprowadzenie do siedmiu zasad Google dotyczących sztucznej inteligencji.

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To szybkie szkolenie dla początkujących wyjaśnia, czym są duże modele językowe (LLM) oraz jakie są ich zastosowania. Przedstawia również możliwości zwiększenia ich wydajności przez dostrajanie przy użyciu promptów oraz narzędzia Google, które pomogą Ci tworzyć własne aplikacje korzystające z generatywnej AI.

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Celem tego szybkiego szkolenia dla początkujących jest wyjaśnienie, czym jest generatywna AI oraz jakie są jej zastosowania. Szkolenie przedstawia również różnice pomiędzy tą technologią a tradycyjnymi systemami uczącymi się, a także narzędzia Google, które pomogą Ci tworzyć własne aplikacje korzystające z generatywnej AI.

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