BANGARU NAGA PUJITH PRASAD
Учасник із 2025
Secure Lakehouse Data
Earned лип. 28, 2026 EDT
Build a Secure Google Cloud Network
Earned груд. 28, 2025 EST
Build a Data Warehouse with BigQuery
Earned груд. 28, 2025 EST
Build Google Cloud Infrastructure for AWS Professionals
Earned груд. 27, 2025 EST
Analyze Speech and Language with Google APIs
Earned груд. 27, 2025 EST
Analyze Images with the Cloud Vision API
Earned груд. 27, 2025 EST
Connecting Cloud Networks with NCC
Earned груд. 27, 2025 EST
Privileged Access with IAM
Earned груд. 21, 2025 EST
Create and Manage Bigtable Instances
Earned груд. 21, 2025 EST
Build Event-Driven Applications with Eventarc
Earned груд. 21, 2025 EST
Implement Cloud Storage and Data Protection Solutions
Earned груд. 21, 2025 EST
Deploy and Secure Serverless APIs with API Gateway
Earned груд. 21, 2025 EST
Build Serverless Applications with Cloud Run Functions
Earned груд. 21, 2025 EST
Deploy and Manage Applications on Google App Engine
Earned груд. 21, 2025 EST
Analyze BigQuery Data in Connected Sheets
Earned груд. 21, 2025 EST
Create and Manage AlloyDB Instances
Earned груд. 20, 2025 EST
Organize and Govern Data with Knowledge Catalog
Earned груд. 20, 2025 EST
Create and Manage Cloud Spanner Instances
Earned груд. 20, 2025 EST
Explore Generative AI in Agent Platform
Earned груд. 20, 2025 EST
Create ML Models with BigQuery ML
Earned груд. 19, 2025 EST
Configure Service Accounts and IAM Roles for Google Cloud
Earned груд. 19, 2025 EST
Use Machine Learning APIs on Google Cloud
Earned груд. 19, 2025 EST
Introduction to Vertex AI Studio
Earned груд. 19, 2025 EST
Create Image Captioning Models
Earned груд. 19, 2025 EST
Transformer Models and BERT Model
Earned груд. 19, 2025 EST
Encoder-Decoder Architecture
Earned груд. 19, 2025 EST
Attention Mechanism
Earned груд. 19, 2025 EST
Принципи відповідального використання ШІ для розробників: інтерпретованість і прозорість
Earned груд. 19, 2025 EST
Принципи відповідального використання ШІ для розробників: об’єктивність і упередженість
Earned груд. 19, 2025 EST
Introduction to Image Generation
Earned груд. 19, 2025 EST
Responsible AI: Applying AI Principles with Google Cloud - Yкраїнська
Earned груд. 18, 2025 EST
Prompt Design in Agent Platform
Earned груд. 18, 2025 EST
Build LookML Objects in Looker
Earned груд. 18, 2025 EST
Derive Insights from BigQuery Data
Earned груд. 18, 2025 EST
Perform Predictive Data Analysis in BigQuery
Earned груд. 18, 2025 EST
Use Functions, Formulas, and Charts in Google Sheets
Earned груд. 18, 2025 EST
Deploy Kubernetes Applications on Google Cloud
Earned груд. 18, 2025 EST
Build Infrastructure with Terraform on Google Cloud
Earned груд. 18, 2025 EST
Gen AI Agents: Transform Your Organization
Earned груд. 18, 2025 EST
Gen AI Apps: Transform Your Work
Earned груд. 18, 2025 EST
Gen AI: Navigate the Landscape
Earned груд. 18, 2025 EST
Gen AI: Unlock Foundational Concepts
Earned груд. 18, 2025 EST
Gen AI: Beyond the Chatbot
Earned груд. 18, 2025 EST
Analyze Sentiment with Natural Language API
Earned груд. 18, 2025 EST
Winter Wins
Earned груд. 18, 2025 EST
Protect Cloud Traffic with Chrome Enterprise Premium Security
Earned груд. 17, 2025 EST
Підготовка даних для інтерфейсів API машинного навчання в Google Cloud
Earned груд. 16, 2025 EST
Prepare Data for Looker Dashboards and Reports
Earned груд. 6, 2025 EST
Optimize Costs for Google Kubernetes Engine
Earned груд. 6, 2025 EST
Monitor and Manage Google Cloud Resources
Earned груд. 6, 2025 EST
Mitigate Threats and Vulnerabilities with Security Command Center
Earned груд. 6, 2025 EST
Manage Kubernetes in Google Cloud
Earned груд. 6, 2025 EST
Manage Data Models in Looker
Earned груд. 5, 2025 EST
Integrate BigQuery Data and Google Workspace using Apps Script
Earned груд. 5, 2025 EST
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned груд. 5, 2025 EST
Implement Multimodal Vector Search with BigQuery
Earned груд. 5, 2025 EST
Implement CI/CD Pipelines on Google Cloud
Earned груд. 4, 2025 EST
Implement Sensitive Data Protection on Google Cloud
Earned груд. 4, 2025 EST
[Deprecated] Get Started with Looker
Earned груд. 4, 2025 EST
Develop with Apps Script and AppSheet
Earned груд. 4, 2025 EST
Develop Gen AI Apps with Gemini and Streamlit
Earned груд. 3, 2025 EST
Build a Website on Google Cloud
Earned груд. 3, 2025 EST
Створення сітки даних за допомогою Knowledge Catalog
Earned груд. 3, 2025 EST
Analyze and Reason on Multimodal Data with Gemini
Earned груд. 3, 2025 EST
Налаштування Cloud Load Balancing для Compute Engine
Earned груд. 3, 2025 EST
Enrich Metadata and Discovery of Lakehouse Data
Earned груд. 2, 2025 EST
Налаштування середовища для розробки додатка в Google Cloud
Earned груд. 1, 2025 EST
Google DeepMind: Train A Small Language Model
Earned груд. 1, 2025 EST
Introduction to Large Language Models - Українська
Earned серп. 12, 2025 EDT
Introduction to Generative AI - Українська
Earned серп. 8, 2025 EDT
Introduction to Responsible AI - Українська
Earned черв. 9, 2025 EDT
Complete the introductory Secure Lakehouse Data skill badge course to demonstrate skills with IAM, BigQuery, Lakehouse, and Knowledge Catalog to create and secure Lakehouse tables.
Докладніше
Earn a skill badge by completing the Build a Secure Google Cloud Network skill badge course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud.
Докладніше
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.
Докладніше
Earn a skill badge by completing the Build Google Cloud Infrastructure for AWS Professionals course, where you learn how to configure IAM permission, orchestrate workloads using Kubernetes, host a web application using compute engine, and configure load balancing.
Докладніше
Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.
Докладніше
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.
Докладніше
Earn the intermediate Skill Badge by completing the Connecting Cloud Networks with NCC where you will learn how to use the Network Connectivity Center to connect your on-premises, cloud enterprise networks, and hybrid networks, and manage them as spokes through a single, centralized hub 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.
Докладніше
Complete the intermediate Privileged Access with IAM skill badge to demonstrate skills in the following: custom roles using Identity and Access Management (IAM), the principle of least privilege, Just-in-Time (JIT) temporary elevated access, and security for web applications using Identity-Aware Proxy (IAP).
Докладніше
Complete the introductory Create and Manage Bigtable Instances skill badge to demonstrate skills in the following: creating instances, designing schemas, querying data, and performing administrative tasks in Bigtable including monitoring performance and configuring node autoscaling and replication.
Докладніше
Earn a Skill Badge by completing the Build Event-Driven Applications with Eventarc course. In this course, you use Eventarc to create event triggers for different resources, including Pub/Sub topics and Cloud Storage buckets.
Докладніше
Earn a Skill Badge by completing the Implement Cloud Storage and Data Protection Solutions course. Learn to create a Cloud Storage bucket, use the command line, and protect objects with Bucket Lock.
Докладніше
Earn a skill badge by completing the Deploy and Secure Serverless APIs 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.
Докладніше
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.
Докладніше
Earn a Skill Badge by completing the Deploy and Manage Applications on Google App Engine course, where you learn how to use App Engine with Python, Go, and PHP.
Докладніше
Complete the Analyze BigQuery Data in Connected Sheets skill badge to demonstrate that you can use Connected Sheets to access, analyze, visualize, and share billions of rows of BigQuery data from your Google Sheets spreadsheet.
Докладніше
Complete the introductory Create and Manage AlloyDB Instances skill badge to demonstrate skills in the following: performing core AlloyDB operations and tasks, migrating to AlloyDB from PostgreSQL, administering an AlloyDB database, and accelerating analytical queries using the AlloyDB Columnar Engine.
Докладніше
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.
Докладніше
Complete the introductory Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance.
Докладніше
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.
Докладніше
Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
Докладніше
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 .
Докладніше
Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
Докладніше
This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio.
Докладніше
This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images
Докладніше
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.
Докладніше
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.
Докладніше
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.
Докладніше
У цьому курсі розглядаються поняття інтерпретованості й прозорості штучного інтелекту, а також їх важливість для розробників. Ви дізнаєтеся про практичні методи й інструменти, які дають змогу досягти інтерпретованості й прозорості даних і моделей штучного інтелекту.
Докладніше
Під час цього курсу ви зможете ознайомитися з концепціями відповідального підходу й принципами щодо штучного інтелекту. Ви дізнаєтеся про практичні методи виявлення об’єктивності й упередженості в роботі ШІ та технологій машинного навчання, а також ознайомитеся зі способами мінімізувати упередженість. У курсі розглядаються практичні методи й інструменти для впровадження відповідального підходу до ШІ за допомогою продуктів Google Cloud і інструментів із відкритим кодом.
Докладніше
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 Gemini Enterprise Agent Platform.
Докладніше
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.
Докладніше
Complete the introductory Prompt Design in Agent Platform skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Agent Platform. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
Докладніше
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.
Докладніше
Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Data Studio by connecting to BigQuery data.
Докладніше
Complete the intermediate Perform Predictive Data Analysis in BigQuery skill badge course to demonstrate skills in the following: creating datasets in BigQuery by importing CSV and JSON files; harnessing the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on soccer event data and evaluate the impressiveness of World Cup goals.
Докладніше
Complete the intermediate Use Functions, Formulas and Charts in Google Sheets skill badge course to demonstrate skills in the following: analyzing data with functions; visualizing data using charts; and searching, validating, formatting, and displaying data.
Докладніше
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.
Докладніше
Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.
Докладніше
Gen AI Agents: Transform Your Organization is the fifth and final course of the Gen AI Leader learning path. This course explores how organizations can use custom gen AI agents to help tackle specific business challenges. You gain hands-on practice building a basic gen AI agent, while exploring the components of these agents, such as models, reasoning loops, and tools. Explore other content in the Gemini Agent Ready (GEAR) program.
Докладніше
Transform Your Work With Gen AI Apps is the fourth course of the Gen AI Leader learning path. This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and Gemini Notebook. It guides you through concepts like grounding, retrieval augmented generation, constructing effective prompts and building automated workflows.
Докладніше
Gen AI: Navigate the Landscape is the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
Докладніше
Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.
Докладніше
Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.
Докладніше
Earn a skill badge by completing the Analyze Sentiment with Natural Language API quest, where you learn how the API derives sentiment from text.
Докладніше
Google processes over 2 trillion data operations a day—and now you’ll tap into the skills behind that scale on your path to your next Winter Win. You’ll streamline collaboration with Google Workspace, prep insight-ready data for Looker, build secure networks, launch compute resources, and keep everything steady with smart monitoring. Then you’ll bring it all together by deploying a website, building an AppSheet app, and managing data across Google Cloud. By the time you’re through, you won’t just reach your next Winter Win—you’ll feel like you earned every bit of it.
Докладніше
Earn a skill badge by completing the Protect Cloud Traffic with Chrome Enterprise Premium Security skill badge course, where you learn how to leverage Chrome Enterprise Premium to provide secure access to critical apps and services, improve your security posture with a modern Zero Trust platform, securely provide access to resources using identity and context-aware access control, and support hybrid cloud workloads using Client Connector.
Докладніше
Пройдіть вступний кваліфікаційний курс Підготовка даних для інтерфейсів API машинного навчання в Google Cloud, щоб продемонструвати свої навички щодо очистки даних за допомогою сервісу Dataprep by Trifacta, запуску конвеєрів даних у Dataflow, створення кластерів і запуску завдань Apache Spark у Managed Service for Apache Spark, а також виклику API машинного навчання, зокрема Cloud Natural Language API, Google Cloud Speech-to-Text API і Video Intelligence API.
Докладніше
Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge course to demonstrate skills in the following: filtering, sorting, and pivoting data; merging results from different Looker Explores; and using functions and operators to build Looker dashboards and reports for data analysis and visualization.
Докладніше
Complete the intermediate Optimize Costs for Google Kubernetes Engine skill badge course to demonstrate skills in the following: creating and managing multi-tenant clusters, monitoring resource usage by namespace, configuring cluster and pod autoscaling for efficiency, setting up load balancing for optimal resource distribution, and implementing liveness and readiness probes to ensure application health and cost-effectiveness.
Докладніше
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.
Докладніше
Complete the intermediate Mitigate Threats and Vulnerabilities with Security Command Center skill badge course to demonstrate skills in the following: preventing and managing environment threats, identifying and mitigating application vulnerabilities, and responding to security anomalies.
Докладніше
Complete the intermediate Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.
Докладніше
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.
Докладніше
Complete the introductory Integrate BigQuery Data and Google Workspace using Apps Script skill badge course to demonstrate skills in connecting Workspace products with BigQuery via AppSheet.
Докладніше
Complete the intermediate Inspect Rich Documents with Gemini Multimodality and Multimodal RAG skill badge course to demonstrate skills in the following: using multimodal prompts to extract information from text and visual data, generating a video description, and retrieving extra information beyond the video using multimodality with Gemini; building metadata of documents containing text and images, getting all relevant text chunks, and printing citations by using Multimodal Retrieval Augmented Generation (RAG) with Gemini. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
Докладніше
Complete the intermediate Implement Multimodal Vector Search with BigQuery skill badge to demonstrate skills in the following: using Gemini in BigQuery to generate and debug SQL, conduct sentiment analysis, summarize text and identify keywords, generate embeddings, create a Retrieval Augmented Generation (RAG) pipeline, and implement multimodal vector search.
Докладніше
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.
Докладніше
Complete the Implement Sensitive Data Protection on Google Cloud Skill Badge course to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention API) to inspect, redact, and de-identify sensitive data in Google Cloud.
Докладніше
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.
Докладніше
Earn a skill badge by completing the Develop with Apps Script and AppSheet skill badge course, where you learn how to build chat bots and how to use the script editor in any document.
Докладніше
Complete the intermediate Develop Gen AI Apps with Gemini and Streamlit skill badge course to demonstrate skills in text generation, applying function calls with the Python SDK and Gemini API, and deploying a Streamlit application with Cloud Run. In this course, you learn Gemini prompting, test Streamlit apps in Cloud Shell, and deploy them as Docker containers in Cloud Run. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
Докладніше
Earn the introductory skill badge by completing the Build a Website on Google Cloud skill badge course. This course is based on the Get Cooking in Cloud series and covers`:`Deploying a website on Cloud RunHosting a web app on Compute EngineCreating, deploying, and scaling your website on Google Kubernetes EngineMigrating from a monolithic application to a microservices architecture using Cloud Build
Докладніше
Пройдіть вступний кваліфікаційний курс Створення сітки даних за допомогою Knowledge Catalog, щоб продемонструвати свої навички створення такої сітки для покращеної безпеки даних, керування ними й пошуку в Google Cloud. Ви потренуєтеся й перевірите свої навички щодо позначення тегами об’єктів, призначення ролей IAM і перевірки якості даних у Knowledge Catalog.
Докладніше
Complete the intermediate Analyze and Reason on Multimodal Data with Gemini skill badge course to demonstrate skills in the following: analyzing text, image, audio, and video data using Gemini, and reasoning about this combined information to draw conclusions and extract insights.
Докладніше
Пройдіть вступний кваліфікаційний курс Налаштування Cloud Load Balancing для Compute Engine, щоб продемонструвати свої навички: створення й розгортання віртуальних машин у Compute Engine; налаштування мережі й розподілювачів навантаження додатків.
Докладніше
Complete the Enrich Metadata and Discovery of Lakehouse Data skill badge course to demonstrate skills in BigQuery, Lakehouse, and Knowledge Catalog. You create Lakehouse tables and enrich metadata management and discovery of the table data.
Докладніше
Щоб отримати кваліфікаційний значок, пройдіть курс Налаштування середовища для розробки додатка в Google Cloud. У ньому ви навчитеся створювати й підключати хмарну інфраструктуру, спрямовану на зберігання даних, за допомогою базових можливостей таких технологій, як Cloud Storage, система керування ідентифікацією і доступом, Cloud Functions та Pub/Sub.
Докладніше
Complete the advanced Google DeepMind: Train A Small Language Model skill badge by completing this course to demonstrate skills in the following: formulating real-world language model research problems; building a simple tokenizer; preparing a dataset for training a transformer language model; running the training loop of a small language model. Access this lab at no-cost by signing up for the no-cost subscription. Receive 35 free credits each month!
Докладніше
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.
Докладніше
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.
Докладніше
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.
Докладніше
