Vertex AI is now Gemini Enterprise Agent Platform! We are currently updating our content to reflect this change. Please bear with us if you encounter naming inconsistencies during this transition.
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M. Rizky Farraz Zidan
Учасник із 2020
Vector Search and Embeddings
Earned січ. 18, 2026 EST
Streamline App Development with Gemini Code Assist
Earned січ. 17, 2026 EST
Gemini for Application Developers
Earned січ. 17, 2026 EST
Prompt Design in Vertex AI
Earned січ. 17, 2026 EST
Implement Multimodal Vector Search with BigQuery
Earned січ. 17, 2026 EST
Implement Cloud Security Fundamentals on Google Cloud
Earned січ. 17, 2026 EST
Deploy Multi-Agent Architectures
Earned січ. 17, 2026 EST
Explore Generative AI with the Gemini API in Vertex AI
Earned січ. 17, 2026 EST
Enhance Gemini Model Capabilities
Earned січ. 17, 2026 EST
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned січ. 17, 2026 EST
Create ML Models with BigQuery ML
Earned січ. 17, 2026 EST
Develop Gen AI Apps with Gemini and Streamlit
Earned січ. 17, 2026 EST
Build Serverless Applications with Cloud Run Functions
Earned січ. 17, 2026 EST
Configure Service Accounts and IAM Roles for Google Cloud
Earned січ. 17, 2026 EST
Develop Serverless Applications on Cloud Run
Earned січ. 17, 2026 EST
Build Real World AI Applications with Gemini and Imagen
Earned січ. 17, 2026 EST
Gemini for DevOps Engineers
Earned січ. 16, 2026 EST
Automate Data Capture at Scale with Document AI
Earned січ. 16, 2026 EST
Perform Predictive Data Analysis in BigQuery
Earned січ. 16, 2026 EST
Build Generative AI Agents with Vertex AI and Flutter
Earned січ. 16, 2026 EST
Create Embeddings, Vector Search, and RAG with BigQuery
Earned січ. 16, 2026 EST
Build AI Agents with Enterprise Databases
Earned січ. 16, 2026 EST
Model Armor: Securing AI Deployments
Earned січ. 16, 2026 EST
Introduction to Security in the World of AI
Earned січ. 16, 2026 EST
Gemini for Security Engineers
Earned січ. 16, 2026 EST
Gemini for Network Engineers
Earned січ. 16, 2026 EST
Gemini for Cloud Architects
Earned січ. 16, 2026 EST
Create Agents with Generative Playbooks
Earned січ. 16, 2026 EST
AI Boost Bites: Automate tasks with Gemini and Apps Script
Earned січ. 16, 2026 EST
Agent Assist and its Gen AI Capabilities
Earned січ. 16, 2026 EST
Mitigate Threats and Vulnerabilities with Security Command Center
Earned січ. 15, 2026 EST
Monitor and Log with Google Cloud Observability
Earned січ. 15, 2026 EST
Monitoring in Google Cloud
Earned січ. 15, 2026 EST
The Basics of Google Cloud Compute
Earned січ. 15, 2026 EST
Use APIs to Work with Cloud Storage
Earned січ. 15, 2026 EST
[DEPRECATED] Build Interactive Apps with Google Assistant
Earned жовт. 10, 2020 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned жовт. 9, 2020 EDT
Security on AWS
Earned жовт. 9, 2020 EDT
BigQuery for Machine Learning
Earned жовт. 9, 2020 EDT
Set Up a Google Cloud Network
Earned жовт. 8, 2020 EDT
Підготовка даних для інтерфейсів API машинного навчання в Google Cloud
Earned жовт. 8, 2020 EDT
Implement DevOps Workflows in Google Cloud
Earned жовт. 8, 2020 EDT
DEPRECATED Explore Machine Learning Models with Explainable AI
Earned жовт. 8, 2020 EDT
Data Catalog Fundamentals
Earned жовт. 7, 2020 EDT
Derive Insights from BigQuery Data
Earned жовт. 6, 2020 EDT
Build a Secure Google Cloud Network
Earned жовт. 6, 2020 EDT
Налаштування мережі Google Cloud
Earned жовт. 5, 2020 EDT
Build a Website on Google Cloud
Earned жовт. 3, 2020 EDT
Explore AI-powered search technologies, tools, and applications in this course. Learn semantic search utilizing vector embeddings, hybrid search combining semantic and keyword approaches, and retrieval-augmented generation (RAG) minimizing AI hallucinations as a grounded AI agent. Gain practical experience with Vertex AI Vector Search to build your intelligent search engine.
Докладніше
Designed for developers of all levels, this course introduces you to the core features and functionalities of Gemini Code Assist, an AI-powered app development collaborator for Google Cloud. From intelligent code suggestions and auto-completion to real-time error detection and refactoring assistance, you'll discover how Gemini Code Assist can significantly enhance your productivity and code quality, and save valuable time to focus on more productive and enjoyable tasks.
Докладніше
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.
Докладніше
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.
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
Complete the intermediate Implement Cloud Security Fundamentals on Google Cloud skill badge course to demonstrate skills in the following: creating and assigning roles with Identity and Access Management (IAM); creating and managing service accounts; enabling private connectivity across virtual private cloud (VPC) networks; restricting application access using Identity-Aware Proxy; managing keys and encrypted data using Cloud Key Management Service (KMS); and creating a private Kubernetes cluster.
Докладніше
Complete the advanced Deploy Multi-Agent Architectures skill badge to demonstrate skills in the following: building multi-agent systems with ADK, connecting agents with the Agent-to-Agent (A2A) protocol, integrating external tools using the Model Context Protocol (MCP), and deploying a complete multi-agent solution to Agent Engine.
Докладніше
Complete the intermediate Explore Generative AI with the Gemini API in Vertex AI 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.
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Complete the intermediate Enhance Gemini Model Capabilities skill badge to demonstrate skills in the following: leveraging advanced features of Gemini models, including code generation and execution, grounding, controlled content generation, and synthetic data creation, to build more powerful and sophisticated AI applications.
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.
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
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.
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 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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Complete the intermediate Develop Serverless Applications on Cloud Run skill badge course to demonstrate skills in the following: integrating Cloud Run with Cloud Storage for data management, architecting resilient asynchronous systems using Cloud Run and Pub/Sub, constructing REST API gateways powered by Cloud Run, and building and deploying services on Cloud Run.
Докладніше
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.
Докладніше
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps engineers manage infrastructure. You learn how to prompt Gemini to find and understand application logs, create a GKE cluster, and investigate how to create a build environment. Using a hands-on lab, you experience how Gemini improves the DevOps workflow.
Duet AI was renamed to Gemini, our next-generation model.
Докладніше
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.
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
In this course, you learn how to develop an app using Flutter, Google's portable UI toolkit, and integrate the app with Gemini, Google's family of generative AI models. You also use Vertex AI Agent Builder, Google's platform for building and managing AI Agents and applications.
Докладніше
This course explores a Retrieval Augmented Generation (RAG) solution in BigQuery to mitigate AI hallucinations. It introduces a RAG workflow that encompasses creating embeddings, searching a vector space, and generating improved answers. The course explains the conceptual reasons behind these steps and their practical implementation with BigQuery. By the end of the course, learners will be able to build a RAG pipeline using BigQuery and generative AI models like Gemini and embedding models to address their own AI hallucination use cases.
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Build AI agents that can leverage enterprise databases using the MCP Toolbox for Databases. You will define secure database interaction tools, and implement intelligent querying capabilities (leveraging vector embeddings, structured queries).
Докладніше
This course reviews the essential security features of Model Armor and equips you to work with the service. You’ll learn about the security risks associated with LLMs and how Model Armor protects your AI applications.
Докладніше
Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.
Докладніше
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.
Докладніше
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps network engineers create, update, and maintain VPC networks. You learn how to prompt Gemini to provide specific guidance for your networking tasks, beyond what you would receive from a search engine. Using a hands-on lab, you experience how Gemini makes it easier for you to work with Google Cloud VPC networks.
Duet AI was renamed to Gemini, our next-generation model.
Докладніше
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps administrators provision infrastructure. You learn how to prompt Gemini to explain infrastructure, deploy GKE clusters and update existing infrastructure. Using a hands-on lab, you experience how Gemini improves the GKE deployment workflow.
Duet AI was renamed to Gemini, our next-generation model.
Докладніше
This course will teach you how to build conversational experiences for Conversational Agents using Generative Playbooks. You'll start with an introduction to playbooks and learn how to set up your first one. You'll also learn about the importance of testing, as well as key production considerations like quota limits and integration. The course concludes with a case study that shows how to use playbooks for generative steering.
Докладніше
This video covers how to use Gemini and Apps Script to automate manual tasks across Google Workspace. You'll learn to prompt Gemini to generate Apps Script code that automatically drafts email reminders in Google Sheets for tasks not marked 'Complete.' Automate your workflow with little to no technical expertise, freeing up time for more important work and eliminating manual follow-ups.
Докладніше
Unlock the power of generative AI to create intelligent, automated agents. After completing this course, you'll be equipped to develop a data store agent that can instantly answer complex questions by automatically extracting and synthesizing information from your websites, documents, or structured data. Say goodbye to static FAQs—your new agent will provide dynamic, accurate answers and even surface the original source URLs, all with a simple and rapid setup.
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 introductory Monitor and Log with Google Cloud Observability skill badge course to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics.
Докладніше
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.
Докладніше
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.
Докладніше
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.
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
Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud.
The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud. The course starts with a basic introduction to Google Cloud, and is then followed by an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.
Докладніше
This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.
Докладніше
This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
Докладніше
This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.
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
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
In this quest, you’ll learn to work with services related to Deployment and Management, including AWS Identity and Access Management (IAM), AWS Elastic Beanstalk, AWS CloudFormation, and AWS OpsWorks.
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
Earn a skill badge by completing the Automate Interactions with Contact Center AI quest, where you will learn about the features of Contact Center AI, including how to Build a virtual agent, Design conversation flows for your virtual agent; Add a phone gateway to your virtual agent; Use Dialogflow for troubleshooting; Review logs and debug your virtual agent. 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 the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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
Earn a skill badge by completing the Cloud Architecture: Design, Implement, and Manage to demonstrate skills in the following: deploy a publicly accessible website using Apache web servers, configure a Compute Engine VM using startup scripts, configure secure RDP using a Windows Bastion host and firewall rules, build and deploy a Docker image to a Kubernetes cluster and then update it, and create a CloudSQL instance and import a MySQL database. This skill badge is a great resource for understanding topics that will appear in the Google Cloud Certified Professional Cloud Architect certification exam.
Докладніше
Earn a skill badge by completing the Build Interactive Apps with Google Assistant quest, where you will learn how to build Google Assistant applications, including how to: create an Actions project, integrate Dialogflow with an Actions project, test your application with Actions simulator, build an Assistant application with flash cards template, integrate customer MP3 files with your Assistant application, add Cloud Translation API to your Assistant application, and use APIs and integrate them into your applications. 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 the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
Докладніше
Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.
Докладніше
This quest is designed to teach you how to apply AWS Identity and Access Management, in concert with several other AWS Services, to address real-world application and service security management scenarios.
Докладніше
Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and learn what makes a good model.
Докладніше
Earn a skill badge by completing the Set Up a Google Cloud Network skill badge course, where you will learn how to perform basic networking tasks on Google Cloud Platform - create a custom network, add subnets firewall rules, then create VMs and test the latency when they communicate with each other.
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 Dataproc, а також виклику API машинного навчання, зокрема Cloud Natural Language API, Google Cloud Speech-to-Text API і Video Intelligence API.
Докладніше
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.
Докладніше
Earn a skill badge by completing the Explore Machine Learning Models with Explainable AI quest, where you will learn how to do the following using Explainable AI: build and deploy a model to an AI platform for serving (prediction), use the What-If Tool with an image recognition model, identify bias in mortgage data using the What-If Tool, and compare models using the What-If Tool to identify potential bias. 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 quest and the final assessment challenge lab to receive a skill badge that you can share with your network.
Докладніше
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.
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 Looker Studio by connecting to BigQuery data.
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
Щоб отримати кваліфікаційний значок, пройдіть курс Налаштування мережі Google Cloud. У ньому ви дізнаєтеся про різні способи розгортання й моніторингу додатків, зокрема навчитеся визначати ролі керування ідентифікацією і доступом, надавати або вилучати доступ до проектів, створювати мережі VPC, розгортати й відстежувати віртуальні машини Compute Engine, писати запити SQL, а також по-різному вводити додатки в дію за допомогою Kubernetes.
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
Vector Search and Embeddings
Earned січ. 18, 2026 EST
Streamline App Development with Gemini Code Assist
Earned січ. 17, 2026 EST
Gemini for Application Developers
Earned січ. 17, 2026 EST
Prompt Design in Vertex AI
Earned січ. 17, 2026 EST
Implement Multimodal Vector Search with BigQuery
Earned січ. 17, 2026 EST
Implement Cloud Security Fundamentals on Google Cloud
Earned січ. 17, 2026 EST
Deploy Multi-Agent Architectures
Earned січ. 17, 2026 EST
Explore Generative AI with the Gemini API in Vertex AI
Earned січ. 17, 2026 EST
Enhance Gemini Model Capabilities
Earned січ. 17, 2026 EST
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned січ. 17, 2026 EST
Create ML Models with BigQuery ML
Earned січ. 17, 2026 EST
Develop Gen AI Apps with Gemini and Streamlit
Earned січ. 17, 2026 EST
Build Serverless Applications with Cloud Run Functions
Earned січ. 17, 2026 EST
Configure Service Accounts and IAM Roles for Google Cloud
Earned січ. 17, 2026 EST
Develop Serverless Applications on Cloud Run
Earned січ. 17, 2026 EST
Build Real World AI Applications with Gemini and Imagen
Earned січ. 17, 2026 EST
Gemini for DevOps Engineers
Earned січ. 16, 2026 EST
Automate Data Capture at Scale with Document AI
Earned січ. 16, 2026 EST
Perform Predictive Data Analysis in BigQuery
Earned січ. 16, 2026 EST
Build Generative AI Agents with Vertex AI and Flutter
Earned січ. 16, 2026 EST
Create Embeddings, Vector Search, and RAG with BigQuery
Earned січ. 16, 2026 EST
Build AI Agents with Enterprise Databases
Earned січ. 16, 2026 EST
Model Armor: Securing AI Deployments
Earned січ. 16, 2026 EST
Introduction to Security in the World of AI
Earned січ. 16, 2026 EST
Gemini for Security Engineers
Earned січ. 16, 2026 EST
Gemini for Network Engineers
Earned січ. 16, 2026 EST
Gemini for Cloud Architects
Earned січ. 16, 2026 EST
Create Agents with Generative Playbooks
Earned січ. 16, 2026 EST
AI Boost Bites: Automate tasks with Gemini and Apps Script
Earned січ. 16, 2026 EST
Agent Assist and its Gen AI Capabilities
Earned січ. 16, 2026 EST
Mitigate Threats and Vulnerabilities with Security Command Center
Earned січ. 15, 2026 EST
Monitor and Log with Google Cloud Observability
Earned січ. 15, 2026 EST
Monitoring in Google Cloud
Earned січ. 15, 2026 EST
The Basics of Google Cloud Compute
Earned січ. 15, 2026 EST
Use APIs to Work with Cloud Storage
Earned січ. 15, 2026 EST
Налаштування Cloud Load Balancing для Compute Engine
Earned трав. 18, 2024 EDT
Getting Started with Google Kubernetes Engine
Earned вер. 7, 2023 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned серп. 20, 2023 EDT
Essential Google Cloud Infrastructure: Core Services
Earned серп. 17, 2023 EDT
Essential Google Cloud Infrastructure: Foundation
Earned серп. 12, 2023 EDT
Build Infrastructure with Terraform on Google Cloud
Earned черв. 10, 2023 EDT
Налаштування середовища для розробки додатка в Google Cloud
Earned черв. 2, 2023 EDT
Deployment & Management
Earned жовт. 29, 2020 EDT
Налаштування Cloud Load Balancing для Compute Engine
Earned жовт. 22, 2020 EDT
Automate Interactions with Contact Center AI
Earned жовт. 10, 2020 EDT
Use Machine Learning APIs on Google Cloud
Earned жовт. 10, 2020 EDT
Cloud Architecture: Design, Implement, and Manage
Earned жовт. 10, 2020 EDT
[DEPRECATED] Build Interactive Apps with Google Assistant
Earned жовт. 10, 2020 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned жовт. 9, 2020 EDT
Security on AWS
Earned жовт. 9, 2020 EDT
BigQuery for Machine Learning
Earned жовт. 9, 2020 EDT
Set Up a Google Cloud Network
Earned жовт. 8, 2020 EDT
Підготовка даних для інтерфейсів API машинного навчання в Google Cloud
Earned жовт. 8, 2020 EDT
Implement DevOps Workflows in Google Cloud
Earned жовт. 8, 2020 EDT
DEPRECATED Explore Machine Learning Models with Explainable AI
Earned жовт. 8, 2020 EDT
Data Catalog Fundamentals
Earned жовт. 7, 2020 EDT
Derive Insights from BigQuery Data
Earned жовт. 6, 2020 EDT
Build a Secure Google Cloud Network
Earned жовт. 6, 2020 EDT
Налаштування мережі Google Cloud
Earned жовт. 5, 2020 EDT
Build a Website on Google Cloud
Earned жовт. 3, 2020 EDT