gabriel eliezer
Member since 2024
Silver League
62250 points
Skills Boost Arcade Trivia February 2025 Week 4
Earned февр. 26, 2025 EST
Skills Boost Arcade Trivia February 2025 Week 3
Earned февр. 25, 2025 EST
Skills Boost Arcade Trivia February 2025 Week 2
Earned февр. 25, 2025 EST
Skills Boost Arcade Trivia February 2025 Week 1
Earned февр. 25, 2025 EST
Love Beyond Query!
Earned февр. 20, 2025 EST
Deploy and Manage Applications on Google App Engine
Earned февр. 4, 2025 EST
App Building with AppSheet
Earned февр. 4, 2025 EST
Level 1: App Dev and Deployment
Earned февр. 4, 2025 EST
Skills Boost Arcade Base Camp February 2025
Earned февр. 3, 2025 EST
Level 3: Arcade Heroes
Earned янв. 29, 2025 EST
Skills Boost Arcade Trivia January 2025 Week 4
Earned янв. 28, 2025 EST
The Arcade Trivia January 2025 Week 3
Earned янв. 28, 2025 EST
Level 2: Analysis with AI
Earned янв. 27, 2025 EST
The Arcade Trivia January 2025 Week 2
Earned янв. 27, 2025 EST
The Arcade Trivia January 2025 Week 1
Earned янв. 27, 2025 EST
Enrich Metadata and Discovery of Lakehouse Data
Earned янв. 24, 2025 EST
Store, Process, and Manage Data on Google Cloud - Command Line
Earned янв. 24, 2025 EST
Level 1: Data Operations and Workflow Optimization
Earned янв. 24, 2025 EST
Skills Boost Arcade Skillsresolve
Earned янв. 23, 2025 EST
The Arcade Base Camp January 2025
Earned янв. 20, 2025 EST
Serverless Data Processing with Dataflow: Operations
Earned нояб. 23, 2024 EST
Conversational AI Voice and Chat Integrations
Earned нояб. 22, 2024 EST
[DEPRECATED] Advanced Performance Measurement
Earned нояб. 22, 2024 EST
[DEPRECATED] Basic Performance Measurement
Earned нояб. 19, 2024 EST
[DEPRECATED] Webhook fundamentals
Earned нояб. 19, 2024 EST
Gemini for Application Developers
Earned нояб. 18, 2024 EST
Data Catalog Fundamentals
Earned нояб. 9, 2024 EST
[Deprecated] Classify Images with TensorFlow on Google Cloud
Earned нояб. 9, 2024 EST
Organize and Govern Data with Knowledge Catalog
Earned сент. 26, 2024 EDT
Building No-Code Apps with AppSheet: Foundations
Earned июня 8, 2024 EDT
Derive Insights from BigQuery Data
Earned июня 6, 2024 EDT
Google Cloud Data Analytics Essentials
Earned июня 4, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned мая 27, 2024 EDT
[DEPRECATED]Introduction to Responsible AI
Earned мая 27, 2024 EDT
Introduction to Large Language Models
Earned мая 24, 2024 EDT
Introduction to Generative AI
Earned мая 24, 2024 EDT
Manage Kubernetes in Google Cloud
Earned мая 24, 2024 EDT
Gemini for Security Engineers
Earned мая 17, 2024 EDT
Conversational AI on Vertex AI and Dialogflow CX
Earned мая 17, 2024 EDT
Use Machine Learning APIs on Google Cloud
Earned мая 17, 2024 EDT
Create ML Models with BigQuery ML
Earned мая 17, 2024 EDT
Analyze Speech and Language with Google APIs
Earned мая 16, 2024 EDT
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI
Earned мая 16, 2024 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned мая 15, 2024 EDT
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned мая 14, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned мая 14, 2024 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned мая 10, 2024 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned мая 10, 2024 EDT
Prepare Data for ML APIs on Google Cloud
Earned мая 9, 2024 EDT
Build a Secure Google Cloud Network
Earned мая 7, 2024 EDT
Set Up an App Dev Environment on Google Cloud
Earned мая 6, 2024 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned мая 3, 2024 EDT
Hey there! You're invited to game on with Skills Boost Arcade Trivia for February Week 4! 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 February Trivia Week 4 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for February 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 February Trivia Week 3 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for February 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 February Trivia Week 2 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for February 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 February Trivia Week 1 badge!
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Fall in love with data this Valentine's. Get hands-on with labs that teach you everything from data exploration and filtering to dashboard alerts and Looker Studio magic. No prior experience needed—Game on!
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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 a skill badge by completing the App Building with AppSheet course, where you learn how to build, configure, and publish apps using AppSheet.
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Turn your app ideas into reality with Google Cloud in 2025! Whether you're a beginner or looking to level up, these hands-on labs will guide you through building and deploying apps. Set up your development environment, store and manage data, and launch scalable, serverless applications—all with real-world challenges designed to boost your skills. No experience? No problem!
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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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Level up your cloud skills with hands-on labs covering everything from storage and BigQuery to VPCs, Pub/Sub, and Artifact Registry for Python and Go. No experience needed—explore, learn, and earn your Google Cloud Credential on your journey to becoming an Arcade Hero!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for January Week 4! 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 January Trivia Week 4 badge!
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Hey there! You're invited to game on with the Arcade Trivia for January 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 January Trivia Week 3 badge!
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Earn your latest Google Cloud Credential by exploring AI, machine learning, and data analysis. With AI expected to add $15.7 trillion to the global economy by 2030, now is the perfect time to get hands-on with tools like Gemini, Looker BI, TensorFlow, and Document AI. You'll work on real-world tasks like analyzing reviews, detecting fraud, and optimizing workflows. No experience needed—just a passion for learning and leveling up your skills!
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Hey there! You're invited to game on with the Arcade Trivia for January 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 January Trivia Week 2 badge!
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Hey there! You're invited to game on with the Arcade Trivia for January 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 January Trivia Week 1 badge!
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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.
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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 your first Google Cloud Credential in 2025 by learning data operations and workflow optimization. Get hands-on with tools like Cloud Dataprep, BigLake, and Config Sync to simplify data management, reduce costs, and automate tasks. Whether you're analyzing BigQuery logs or organizing data in BigLake, these labs are designed to improve your workflow—no experience needed!
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Stay true to your learning goals this year by earning an exclusive Google Cloud credential and picking up essential skills like automating workflows, managing resources, solving technical issues, and strengthening security. Game on to boost your Skillsresolve!
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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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In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We will conclude with a review of Templates, which makes it easy to scale Dataflow pipelines to organizations with hundreds of users. These lessons will help ensure that your data platform is stable and resilient to unanticipated circumstances.
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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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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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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 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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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps developers build applications. You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications. Using a hands-on lab, you experience how Gemini improves the application development workflow.
Duet AI was renamed to Gemini, our next-generation model.
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Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.
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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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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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In this course you will learn the fundamentals of no-code app development and recognize use cases for no-code apps. The course provides an overview of the AppSheet no-code app development platform and its capabilities. You learn how to create an app with data from spreadsheets, create the app’s user experience using AppSheet views and publish the app to end users.
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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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Discover how to turn raw numbers into clear, data-driven decisions on Google Cloud. Through hands-on labs and practical real-world scenarios, this beginner-level course guides you through querying data in BigQuery, exploring trends in Looker, and crafting shareable, interactive reports in Data Studio.
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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps. Explore other content in the Gemini Agent Ready (GEAR) program.
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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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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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you secure your cloud environment and resources. You learn how to deploy example workloads into an environment in Google Cloud, identify security misconfigurations with Gemini, and remediate security misconfigurations with Gemini. Using a hands-on lab, you experience how Gemini improves your cloud security posture.
Duet AI was renamed to Gemini, our next-generation model.
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In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.
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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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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.
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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 the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions on Vertex AI skill badge course, where you learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain, and deploy machine learning models.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This third course covers cloud automation and management tools and building secure networks.
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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Learn more
The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.
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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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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.
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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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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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