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Ihor Boiko

Member since 2024

Gold League

36145 points
Use APIs to Work with Cloud Storage Earned נוב 19, 2025 EST
The Basics of Google Cloud Compute Earned נוב 19, 2025 EST
Implement Sensitive Data Protection on Google Cloud Earned נוב 19, 2025 EST
Create a Secure Data Lake on Cloud Storage Earned נוב 18, 2025 EST
Monitoring in Google Cloud Earned נוב 16, 2025 EST
Build Event-Driven Applications with Eventarc Earned נוב 16, 2025 EST
Prompt Design in Agent Platform Earned נוב 15, 2025 EST
Monitor Environments with Google Cloud Managed Service for Prometheus Earned נוב 15, 2025 EST
Deploy and Manage Apigee X Earned נוב 15, 2025 EST
Implement Cloud Collaboration and Productivity Workflows Earned אוק 11, 2025 EDT
Organize and Govern Data with Knowledge Catalog Earned אוק 11, 2025 EDT
Migrate MySQL Data to Cloud SQL Using Database Migration Service Earned אוק 8, 2025 EDT
Manage Kubernetes in Google Cloud Earned אוק 7, 2025 EDT
Create and Manage Bigtable Instances Earned אפר 28, 2024 EDT
Deploy and Manage Applications on Google App Engine Earned אפר 21, 2024 EDT
Build a Website on Google Cloud Earned אפר 7, 2024 EDT
Google Cloud Fundamentals for AWS Professionals Earned מרץ 31, 2024 EDT
Use Machine Learning APIs on Google Cloud Earned מרץ 30, 2024 EDT
[Deprecated] Classify Images with TensorFlow on Google Cloud Earned מרץ 26, 2024 EDT
Build Custom Processors with Document AI [Deprecated] Earned מרץ 24, 2024 EDT
DEPRECATED Detect Manufacturing Defects Using Visual Inspection AI Earned מרץ 24, 2024 EDT
Manage Data Models in Looker Earned מרץ 24, 2024 EDT
Prepare Data for Looker Dashboards and Reports Earned מרץ 23, 2024 EDT
Build LookML Objects in Looker Earned מרץ 21, 2024 EDT
Implement Speech and Language Solutions with Pre-trained APIs Earned מרץ 20, 2024 EDT
[Deprecated] Get Started with Looker Earned מרץ 20, 2024 EDT
Share Data Using Google Data Cloud Earned מרץ 17, 2024 EDT
Build a Data Warehouse with BigQuery Earned מרץ 17, 2024 EDT
Derive Insights from BigQuery Data Earned מרץ 15, 2024 EDT
Automate Data Capture at Scale with Document AI Earned מרץ 13, 2024 EDT
Perform Predictive Data Analysis in BigQuery Earned מרץ 13, 2024 EDT
Analyze Speech and Language with Google APIs Earned מרץ 13, 2024 EDT
Analyze Sentiment with Natural Language API Earned מרץ 12, 2024 EDT
Prepare Data for ML APIs on Google Cloud Earned מרץ 12, 2024 EDT
[DEPRECATED] Google Cloud Big Data and Machine Learning Fundamentals Earned מרץ 12, 2024 EDT
Set Up an App Dev Environment on Google Cloud Earned מרץ 10, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure Earned מרץ 10, 2024 EDT
Implementing Cloud Load Balancing for Compute Engine Earned מרץ 3, 2024 EST

Complete the introductory Use APIs to Work with Cloud Storage skill badge to demonstrate skills in the following: using APIs to work with Cloud Storage resources, including the Cloud Storage API.

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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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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.

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Complete the introductory Create a Secure Data Lake on Cloud Storage skill badge course to demonstrate skills in the following: securing and configuring a Cloud Storage bucket, using Gemini for text generation, managing IAM access control, and establishing a Knowledge Catalog lake for data governance.

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Complete the introductory Monitoring in Google Cloud skill badge course to demonstrate skills in the following: using Cloud Monitoring tools to monitor resources on Google Cloud.

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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.

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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.

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Earn a skill badge by completing the Monitor Environments with Google Cloud Managed Service for Prometheus skill badge course, where you learn Kubernetes Monitoring with Google Cloud Managed Service for Prometheus.

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Earn a skill badge by completing the Deploy and Manage Apigee X skill badge course, where you learn about the Apigee X architecture, how to provision an Apigee X organization within a Google Cloud project, the management of Apigee X using the Apigee API and UI, and the use of Cloud Armor and Apigee threat protection policies to protect your APIs.

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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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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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Complete the introductory Migrate MySQL Data to Cloud SQL Using Database Migration Service skill badge course 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.

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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.

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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.

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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.

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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

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Google Cloud Fundamentals for AWS Professionals 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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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.

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Earn the intermediate Skill Badge by completing the Classify Images with TensorFlow on Google Cloud skill badge course where you learn how to use TensorFlow and Vertex AI to create and train machine learning models. You primarily interact with Vertex AI Workbench user-managed notebooks.

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Earn a skill badge by completing the Build Custom Processors with Document AI course. You learn how to extract data and classify documents by creating custom ML models specific to your business needs. This course teaches the foundation skills of building your own processors, working with optical character recognition, form parsing, processor creation, and uptraining the DocumentAI model.

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Earn a skill badge by completing the Detect Manufacturing Defects using Visual Inspection AI course, where you learn how to use Visual Inspection AI to deploy a solution artifact and test that it can successfully identify defects in a manufacturing process.

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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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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.

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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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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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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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Earn a skill badge by completing the Share Data Using Google Data Cloud skill badge course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards.

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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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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.

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Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.

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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.

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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.

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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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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Managed Service for Apache Spark, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.

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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.

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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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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.

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