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Apply your skills in Google Cloud console

Divya T.G

Учасник із 2024

Діамантова ліга

Кількість балів: 20290
Transformer Models and BERT Model Earned лип. 20, 2025 EDT
Encoder-Decoder Architecture Earned лип. 20, 2025 EDT
Attention Mechanism Earned лип. 20, 2025 EDT
Introduction to Image Generation Earned лип. 20, 2025 EDT
Responsible AI: Applying AI Principles with Google Cloud - Yкраїнська Earned лип. 20, 2025 EDT
Introduction to Responsible AI - Українська Earned лип. 20, 2025 EDT
Introduction to Large Language Models - Українська Earned лип. 20, 2025 EDT
Cloud Speech API: 3 Ways Earned жовт. 12, 2024 EDT
Get Started with Pub/Sub Earned жовт. 12, 2024 EDT
Analyze Images with the Cloud Vision API Earned жовт. 12, 2024 EDT
DEPRECATED Networking Fundamentals on Google Cloud Earned жовт. 12, 2024 EDT
Monitoring in Google Cloud Earned жовт. 12, 2024 EDT
Cloud Run Functions: 3 Ways Earned жовт. 12, 2024 EDT
Get Started with Google Workspace Tools Earned жовт. 12, 2024 EDT
Develop GenAI Apps with Gemini and Streamlit Earned жовт. 10, 2024 EDT
Prompt Design in Vertex AI Earned жовт. 10, 2024 EDT
App Engine: 3 Ways Earned жовт. 8, 2024 EDT
Get Started with Dataplex Earned жовт. 6, 2024 EDT
Get Started with Looker Earned жовт. 6, 2024 EDT
Get Started with API Gateway Earned жовт. 5, 2024 EDT
Get Started with Cloud Storage Earned жовт. 5, 2024 EDT
The Basics of Google Cloud Compute Earned жовт. 4, 2024 EDT
Introduction to Generative AI - Українська Earned жовт. 2, 2024 EDT
Level 3: Google Cloud Adventures Earned жовт. 2, 2024 EDT

This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.This course is estimated to take approximately 45 minutes to complete.

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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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Що більше штучний інтелект і машинне навчання використовуються в корпоративних середовищах, то нагальнішою стає потреба розробити принципи відповідального ставлення до них. Однак говорити про принципи відповідального використання штучного інтелекту легше, ніж застосовувати їх на практиці. Цей курс допоможе вам дізнатись, як запровадити відповідальну роботу зі штучним інтелектом у вашій організації. У цьому курсі ви дізнаєтеся про підхід Google Cloud до відповідального використання ШІ, а також отримаєте практичні поради й набудете досвіду, який допоможе вам розробити власний підхід до цього завдання.

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Це ознайомлювальний курс мікронавчання, який має пояснити, що таке відповідальне використання штучного інтелекту, чому воно важливе і як компанія Google реалізує його у своїх продуктах. Крім того, у цьому курсі викладено 7 принципів Google щодо штучного інтелекту.

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У цьому ознайомлювальному курсі мікронавчання ви дізнаєтеся, що таке великі мовні моделі, де вони використовуються і як підвищити їх ефективність коригуванням запитів. Він також охоплює інструменти Google, які допоможуть вам створювати власні додатки на основі генеративного штучного інтелекту.

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Earn the Introductory skill badge by completing the Cloud Speech API: 3 Ways course, where you learn how to use speech related API tools to synthesise and transcribe speech.

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Earn a skill badge by completing the Get Started with Pub/Sub quest, 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. 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, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.

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Earn a skill badge by completing the Networking Fundamentals on Google Cloud quest, where you learn how to work with VPC networks and load balancers on Google Cloud. 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, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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Earn the introductory skill badge by completing the Monitoring in Google Cloud course, where you learn how to use Cloud Monitoring tools.

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Earn a skill badge by completing the Cloud Run functions: 3 Ways course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services. It tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, including the final assessment challenge lab, to receive a digital badge that you can share with your network.

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Earn an introductory skill badge by completing the Get Started with Google Workspace Tools 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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Complete the intermediate Develop GenAI Apps with Gemini and Streamlit skill badge to demonstrate skills in the following: text generation, applying function calls with the Python SDK and the Gemini API, and deploying a Streamlit application with Cloud Run. You will explore different ways to prompt Gemini for text generation, use Cloud Shell to test and iterate on a Streamlit application, and then package it as a Docker container deployed in Cloud Run. 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 course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. 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 course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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Earn a skill badge by completing the App Engine: 3 ways quest, where you learn how to use App Engine with Python, Go, and PHP. 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, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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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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Earn a skill badge by completing the Get Started with Looker quest, where you learn how to analyze, visualize, and curate data using Looker Studio and Looker. 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, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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Earn a skill badge by completing the Get Started with API Gateway quest, where you learn how to use API Gateway to deploy, secure, and manage APIs with a fully managed gateway. 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, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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Earn a skill badge by completing the Get Started with Cloud Storage quest, where you learn how to create a Cloud Storage bucket, how to use the Cloud Storage command line, and how to use Bucket Lock to protect objects in a bucket. 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, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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Earn a skill badge by completing the The Basics of Google Cloud Compute quest, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine. 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, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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Це ознайомлювальний курс мікронавчання, який має пояснити, що таке генеративний штучний інтелект, як він використовується й чим відрізняється від традиційних методів машинного навчання. Він також охоплює інструменти Google, які допоможуть вам створювати власні додатки на основі генеративного штучногоінтелекту.

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Your next Google Cloud Credential is within reach! Complete a series of hands-on labs (adventures!) that will help you build key Google Cloud Skills. You’ll cover topics like Compute, Storage, Networking, IAM, Kubernetes, BigQuery, and more, working through real-world scenarios to boost your understanding. No prior experience required!

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