Prompt Design in Vertex AI
Earned avr. 16, 2025 EDT
Introduction to Responsible AI
Earned avr. 14, 2025 EDT
Streaming Analytics into BigQuery
Earned mars 17, 2025 EDT
Store, Process, and Manage Data on Google Cloud - Command Line
Earned mars 17, 2025 EDT
Skills Boost Arcade Trivia March 2025 Week 2
Earned mars 13, 2025 EDT
Store, Process, and Manage Data on Google Cloud - Console
Earned mars 1, 2025 EST
Cloud Run Functions: 3 Ways
Earned fév. 27, 2025 EST
Get Started with Cloud Storage
Earned fév. 26, 2025 EST
Get Started with Pub/Sub
Earned fév. 26, 2025 EST
Google Cloud: Prompt Engineering Guide
Earned fév. 26, 2025 EST
Get Started with Dataplex
Earned fév. 25, 2025 EST
Create a Secure Data Lake on Cloud Storage
Earned fév. 25, 2025 EST
Data Lake Modernization on Google Cloud: Cloud Composer
Earned fév. 21, 2025 EST
Level 1: App Dev and Deployment
Earned fév. 12, 2025 EST
Create a Streaming Data Lake on Cloud Storage
Earned fév. 11, 2025 EST
Implement Cloud Security Fundamentals on Google Cloud
Earned fév. 6, 2025 EST
Level 3: Building Blocks
Earned fév. 5, 2025 EST
Skills Boost Arcade Trivia February 2025 Week 1
Earned fév. 4, 2025 EST
Skills Boost Arcade Base Camp February 2025
Earned fév. 4, 2025 EST
Baseline: Infrastructure
Earned jan. 18, 2025 EST
Introduction to AI and Machine Learning on Google Cloud
Earned jan. 14, 2025 EST
Level 3: Arcade Heroes
Earned jan. 14, 2025 EST
The Arcade Base Camp January 2025
Earned jan. 12, 2025 EST
Level 1: Cloud Infrastructure and Data
Earned déc. 25, 2024 EST
Level 3: BigQuery and Firebase
Earned déc. 17, 2024 EST
The Arcade Certification Zone December 2024
Earned déc. 16, 2024 EST
Introduction to Large Language Models
Earned déc. 10, 2024 EST
Introduction to Data Engineering on Google Cloud
Earned déc. 10, 2024 EST
Derive Insights from BigQuery Data
Earned déc. 7, 2024 EST
Introduction to Vertex AI Studio
Earned déc. 6, 2024 EST
The Arcade Base Camp December 2024
Earned déc. 6, 2024 EST
Serverless Data Processing with Dataflow: Foundations
Earned déc. 4, 2024 EST
Introduction to Image Generation
Earned déc. 3, 2024 EST
Introduction to Generative AI
Earned déc. 2, 2024 EST
Prepare Data for Looker Dashboards and Reports
Earned nov. 29, 2024 EST
Basic Performance Measurement
Earned nov. 22, 2024 EST
Preparing for your Professional Data Engineer Journey
Earned oct. 25, 2024 EDT
Data complexity slows innovation, with studies showing that nearly 70% of organizations struggle to unify siloed data and apply AI effectively. This challenge takes you end-to-end—starting with solving data join pitfalls, building warehouses, and governing assets with Dataplex, then moving into automation with Document AI and hands-on generative AI. You’ll practice ingesting healthcare data, managing cloud storage, customizing AI models, and even building a chat app with the Gemini API—skills that reflect the real-world shift toward data-driven and AI-powered solutions.
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Specifically designed for healthcare professionals, this course demystifies generative AI, the latest breakthrough in artificial intelligence, and the large language models (LLMs) that drive it. Discover real-world applications of generative AI in healthcare settings and master the art of crafting effective prompts tailored to your goals.
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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.
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for September 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 September Trivia Week 1 badge!
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Data-driven decisions fuel growth, but research shows over 80% of enterprise workloads still juggle complex integrations across systems. These labs walk you through Cloud Spanner, Cloud SQL, Dataproc, and Dataflow—giving you hands-on practice in managing, processing, scaling data the way modern businesses do and a chance to earn an exclusive Google Cloud credential!
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Complete the introductory Secure BigLake Data skill badge course to demonstrate skills with IAM, BigQuery, BigLake, and Data Catalog within Dataplex to create and secure BigLake tables.
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This is the third of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll begin by getting an overview of the data journey, from collection to insights. You’ll then learn how to use SQL to transform raw data into a usable format. Next, you’ll learn how to transform high volumes of data with a data pipeline. Finally, you’ll gain experience applying transformation strategies to real data sets to solve business needs.
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This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.
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Migration from MySQL to Cloud Spanner using Dataflow that includes sample mock data and all necessary steps with initial assessment to validation including taking care of migrating users and grants.
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Used by over 70% of DevOps teams globally, Terraform has become the go-to tool for provisioning and managing infrastructure as code. In this hands-on challenge, you'll use Terraform to automate the setup of Google Cloud resources—Firestore, Compute Engine, Cloud Storage, VPCs, and more. You'll also manage secure configurations with Service Accounts, Firewall Rules, and Secret Manager. Build a strong foundation for scalable, repeatable deployments and earn an exclusive Google Cloud Credential!.
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In this quest you will get hands-on experience writing infrastructure as code with Terraform.
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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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Kubernetes is the most popular container orchestration system, and Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in Google Cloud. In this course, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications.
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In this quest, you will get hands-on experience with LookML in Looker. You will learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML.
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In this course, you will get hands-on experience applying advanced LookML concepts in Looker. You will learn how to use Liquid to customize and create dynamic dimensions and measures, create dynamic SQL derived tables and customized native derived tables, and use extends to modularize your LookML code.
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Complete the intermediate Manage Data Models in Looker skill badge 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. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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This course is an introduction to Vertex AI Notebooks, which are Jupyter notebook-based environments that provide a unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring. The course covers the following topics: (1) The different types of Vertex AI Notebooks and their features and (2) How to create and manage Vertex AI Notebooks.
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This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.
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This course provides an introduction to Looker Studio’s powerful features for data visualization and reporting. Learn to transform raw data into insightful reports by mastering various visualization options, connecting to diverse data sources, and implementing interactive controls such as filters. Explore data blending techniques to combine information from multiple sources and unlock deeper insights. Through hands-on exercises you'll gain the skills to create compelling, dynamic reports that effectively communicate data-driven stories.
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In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
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Complete the introductory Migrate MySQL data to Cloud SQL using Database Migration Services skill badge 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. 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.
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This is the fifth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll combine and apply the foundational knowledge and skills from courses 1-4 in a hands-on Capstone project that focuses on the full data lifecycle project. You’ll practice using cloud-based tools to acquire, store, process, analyze, visualize, and communicate data insights effectively. By the end of the course, you’ll have completed a project demonstrating their proficiency in effectively structuring data from multiple sources, presenting solutions to varied stakeholders, and visualizing data insights using cloud-based software. You’ll also update your resume and practice interview techniques to help prepare for applying and interviewing for jobs.
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This is the fourth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll focus on developing skills in the five key stages of visualizing data in the cloud: storytelling, planning, exploring data, building visualizations, and sharing data with others. You’ll also gain experience using UI/UX skills to wireframe impactful, cloud-native visualizations and work with cloud-native data visualization tools to explore datasets, create reports, and build dashboards that drive decisions and foster collaboration.
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This course explores Gemini in BigQuery, a suite of AI-driven features to assist data-to-AI workflow. These features include data exploration and preparation, code generation and troubleshooting, and workflow discovery and visualization. Through conceptual explanations, a practical use case, and hands-on labs, the course empowers data practitioners to boost their productivity and expedite the development pipeline.
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In this introductory course, you'll learn how Looker can help you explore, analyze, and visualize your data to drive better decisions. Through a combination of video lectures and demos, you'll discover how to connect to various data sources, build interactive dashboards, and perform effective data analysis. Whether you're a data analyst, BI analyst, data scientist or business user, this course will equip you with the foundational knowledge to start using Looker effectively, regardless of your background.
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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task.
Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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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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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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This course is designed for data analysts who want to learn about using BigQuery for their data analysis needs. Through a combination of videos, labs, and demos, we cover various topics that discuss how to ingest, transform, and query your data in BigQuery to derive insights that can help in business decision making.
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This is the third of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll begin by getting an overview of the data journey, from collection to insights. You’ll then learn how to use SQL to transform raw data into a usable format. Next, you’ll learn how to transform high volumes of data with a data pipeline. Finally, you’ll gain experience applying transformation strategies to real data sets to solve business needs.
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This is the second of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll explore how data is structured and organized. You’ll gain hands-on experience with the data lakehouse architecture and cloud components like BigQuery, Google Cloud Storage, and DataProc to efficiently store, analyze, and process large datasets.
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This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.
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Build and deploy modern apps the smart way. These labs walk you through containerization with Kubernetes, serverless with Cloud Run, and continuous delivery with Cloud Deploy. Learn to scale, secure, and automate—then earn a Google Cloud credential to show you’ve got it covered.
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This course demonstrates how to use AI/ML models for generative AI tasks in BigQuery. Through a practical use case involving customer relationship management, you learn the workflow of solving a business problem with Gemini models. To facilitate comprehension, the course also provides step-by-step guidance through coding solutions using both SQL queries and Python notebooks.
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Every great app starts with a solid foundation—and that’s exactly what you’ll build here. Spin up VMs, deploy SQL Server, and move data with confidence. But it doesn't stop there. As threats loom and traffic spikes, you’ll step up—locking buckets, defending with Cloud Armor, and scanning for vulnerabilities. It’s your mission to launch fast, stay secure, and keep everything running smoothly—all while working towards an exclusive Google Cloud credential!
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In this beginner-level course, you will learn about the Data Analytics workflow on Google Cloud and the tools you can use to explore, analyze, and visualize data and share your findings with stakeholders. Using a case study along with hands-on labs, lectures, and quizzes/demos, the course will demonstrate how to go from raw datasets to clean data to impactful visualizations and dashboards. Whether you already work with data and want to learn how to be successful on Google Cloud, or you’re looking to progress in your career, this course will help you get started. Almost anyone who performs or uses data analysis in their work can benefit from this course.
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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Associate Cloud Engineer Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
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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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Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API and Video Intelligence. Want extra help? 1-minute videos walk you through key concepts for each lab.
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This quest offers hands-on practice with Cloud Data Fusion, a cloud-native, code-free, data integration platform. ETL Developers, Data Engineers and Analysts can greatly benefit from the pre-built transformations and connectors to build and deploy their pipelines without worrying about writing code. This Quest starts with a quickstart lab that familiarises learners with the Cloud Data Fusion UI. Learners then get to try running batch and realtime pipelines as well as using the built-in Wrangler plugin to perform some interesting transformations on data.
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Complete the introductory Build a Data Mesh with Dataplex skill badge to demonstrate skills in the following: building a data mesh with Dataplex to facilitate data security, governance, and discovery on Google Cloud. You practice and test your skills in tagging assets, assigning IAM roles, and assessing data quality in Dataplex.
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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.
“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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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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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.
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This Quest is most suitable for those working in a technology or finance role who are responsible for managing Google Cloud costs. You’ll learn how to set up a billing account, organize resources, and manage billing access permissions. In the hands-on labs, you'll learn how to view your invoice, track your Google Cloud costs with Billing reports, analyze your billing data with BigQuery or Google Sheets, and create custom billing dashboards with Looker Studio. References made to links in the videos can be accessed in this Additional Resources document.
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In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.
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In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting.
Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.
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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.
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There's much excitement about cloud technology and digital transformation, but often many unanswered questions.
For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin?
If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.
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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 Dataproc, 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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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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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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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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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
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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
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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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Hey there! You're invited to game on with Skills Boost Arcade Trivia for April 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 April Trivia Week 3 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for April 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 April Trivia Week 4 badge!
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This course helps learners create a study plan for the PMLE (Professional Machine Learning Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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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 first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.
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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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Welcome to the Arcade Quiz, where every question is a chance to learn, explore, and challenge yourself. Explore a variety of intriguing topics, put your cloud knowledge to the test, and complete all the challenges to earn an exclusive Google Cloud Credential!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for April 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 April Trivia Week 1 badge!
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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.
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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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Earn a skill badge by completing the Streaming Analytics into BigQuery skill badge course, where you use Pub/Sub, Dataflow and BigQuery together to stream data for analytics.
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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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Hey there! You're invited to game on with Skills Boost Arcade Trivia for March 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 March Trivia Week 2 badge!
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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 a Introductory skill badge by completing the Cloud Run functions: 3 Ways course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line.
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Earn a skill badge by completing the Get Started with Cloud Storage skill badge course, where you learn how to create a Cloud Storage bucket, how to use the Cloud Storage command line, and how to use Bucket Lock to protect objects in a bucket.
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Earn a skill badge by completing the Get Started with Pub/Sub skill badge course, where you learn how to use Pub/Sub through the Cloud console, how Cloud Scheduler jobs can save you effort, and when Pub/Sub Lite can save you money on high-volume event ingestion.
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Google Cloud : Prompt Engineering Guide examines generative AI tools, how they work. We'll explore how to combine Google Cloud knowledge with prompt engineering to improve Gemini responses.
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Complete the introductory Get Started with Dataplex skill badge to demonstrate skills in the following: creating Dataplex assets, creating aspect types, and applying aspects to entries in Dataplex.
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Earn a skill badge by completing the Create a Secure Data Lake on Cloud Storage quest, where you use Cloud Storage, IAM, and Dataplex together to create a secure data lake on Google Cloud.
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Welcome to Cloud Composer, where we discuss how to orchestrate data lake workflows with Cloud Composer.
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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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Earn a skill badge by completing the Create a Streaming Data Lake on Cloud Storage course, where you use Pub/Sub, Dataflow, and Cloud Storage together to create a streaming data lake on Google Cloud. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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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.
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Getting started in the cloud doesn’t have to be complicated. With these hands-on building blocks, you’ll explore essential Google Cloud services like Cloud Storage, BigQuery, and IAM. You’ll learn how to store and manage data, set up secure networks, and even deploy apps with Cloud Run and Firestore. Whether you're new to the cloud or just brushing up on the basics, these labs provide real, practical experience—no prior experience needed!
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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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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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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this course is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Monitoring and Cloud Functions. You will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.
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This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.
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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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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!
En savoir plus
The demand for cloud skills has surged by 30% in the past year, and this set of hands-on labs is designed to help you gain them and earn an exclusive Google Cloud credential! Learn how to migrate databases with Cloud SQL, explore AI using Gemini, deploy apps with Cloud Run Canary Deployments, analyze data in BigQuery, and more. All with no prior experience needed!
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Start your next Arcade Adventure that will set you on the path to becoming a Professional Cloud Database Engineer. Pick up essential BigQuery and Firebase skills, and earn an exclusive Google Cloud credential along the way!
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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone. Be one of the first 20 people to complete the challenge and earn a 100% discount voucher for your next Google Cloud Digital Leader Examination. Welcome!
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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.
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In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.
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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 Looker Studio by connecting to BigQuery data.
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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.
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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!
En savoir plus
This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
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This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
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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 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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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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This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
Level 2: AI and Data Innovation on Google Cloud
Earned sept. 22, 2025 EDT
Generative AI for Healthcare
Earned sept. 17, 2025 EDT
Gen AI: Beyond the Chatbot
Earned sept. 16, 2025 EDT
Skills Boost Arcade Trivia September 2025 Week 1
Earned sept. 13, 2025 EDT
Level 1: Cloud Infrastructure and Data Foundation
Earned sept. 10, 2025 EDT
Secure BigLake Data
Earned août 26, 2025 EDT
Data Transformation in the Cloud
Earned août 25, 2025 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned août 24, 2025 EDT
Cloud Healthcare API
Earned août 23, 2025 EDT
MySQL to Cloud Spanner
Earned août 14, 2025 EDT
Level 3: Terraform Essentials
Earned août 11, 2025 EDT
Creating Infrastructure on Google Cloud with Terraform
Earned août 11, 2025 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned août 10, 2025 EDT
Kubernetes in Google Cloud
Earned août 8, 2025 EDT
Understanding LookML in Looker
Earned août 8, 2025 EDT
Applying Advanced LookML Concepts in Looker
Earned août 8, 2025 EDT
Manage Data Models in Looker
Earned août 6, 2025 EDT
Working with Notebooks in Vertex AI
Earned août 5, 2025 EDT
Developing Data Models with LookML
Earned août 5, 2025 EDT
Looker Studio Essentials
Earned août 4, 2025 EDT
Analyzing and Visualizing Data in Looker
Earned août 3, 2025 EDT
Migrate MySQL data to Cloud SQL using Database Migration Service
Earned août 3, 2025 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned août 1, 2025 EDT
The Power of Storytelling: How to Visualize Data in the Cloud
Earned juil. 31, 2025 EDT
Boost Productivity with Gemini in BigQuery
Earned juil. 31, 2025 EDT
Introduction to Looker
Earned juil. 29, 2025 EDT
Trust and Security with Google Cloud
Earned juil. 29, 2025 EDT
Scaling with Google Cloud Operations
Earned juil. 28, 2025 EDT
Create ML Models with BigQuery ML
Earned juil. 28, 2025 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned juil. 28, 2025 EDT
Innovating with Google Cloud Artificial Intelligence
Earned juil. 28, 2025 EDT
BigQuery for Data Analysts
Earned juil. 27, 2025 EDT
Data Transformation in the Cloud
Earned juil. 27, 2025 EDT
Data Management and Storage in the Cloud
Earned juil. 27, 2025 EDT
Introduction to Data Analytics in Google Cloud
Earned juil. 26, 2025 EDT
Level 2: Modern Application Deployment
Earned juil. 26, 2025 EDT
Work with Gemini Models in BigQuery
Earned juil. 16, 2025 EDT
Level 1: Core Infrastructure and Security
Earned juil. 16, 2025 EDT
Introduction to Data Analytics on Google Cloud
Earned juil. 10, 2025 EDT
Cloud Engineering
Earned juil. 9, 2025 EDT
Share Data Using Google Data Cloud
Earned juil. 9, 2025 EDT
Baseline: Data, ML, AI
Earned juil. 7, 2025 EDT
Building Codeless Pipelines on Cloud Data Fusion
Earned juil. 6, 2025 EDT
Build a Data Mesh with Dataplex
Earned juil. 3, 2025 EDT
Exploring Data Transformation with Google Cloud
Earned juil. 1, 2025 EDT
Build a Data Warehouse with BigQuery
Earned juin 26, 2025 EDT
Getting Started with Google Kubernetes Engine
Earned juin 26, 2025 EDT
Understand Your Google Cloud Costs
Earned juin 22, 2025 EDT
Build Streaming Data Pipelines on Google Cloud
Earned juin 19, 2025 EDT
Build Batch Data Pipelines on Google Cloud
Earned juin 17, 2025 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned juin 12, 2025 EDT
Digital Transformation with Google Cloud
Earned juin 8, 2025 EDT
Prepare Data for ML APIs on Google Cloud
Earned juin 2, 2025 EDT
Build a Secure Google Cloud Network
Earned juin 2, 2025 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned mai 31, 2025 EDT
Set Up an App Dev Environment on Google Cloud
Earned mai 30, 2025 EDT
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned mai 28, 2025 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned mai 18, 2025 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned mai 12, 2025 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned avr. 30, 2025 EDT
Skills Boost Arcade Trivia April 2025 Week 3
Earned avr. 23, 2025 EDT
Skills Boost Arcade Trivia April 2025 Week 4
Earned avr. 23, 2025 EDT
Professional Machine Learning Engineer Study Guide
Earned avr. 22, 2025 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned avr. 22, 2025 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned avr. 21, 2025 EDT
Level 3: The Arcade Quiz
Earned avr. 17, 2025 EDT
Skills Boost Arcade Trivia April 2025 Week 1
Earned avr. 16, 2025 EDT
Prompt Design in Vertex AI
Earned avr. 16, 2025 EDT
Introduction to Responsible AI
Earned avr. 14, 2025 EDT
Streaming Analytics into BigQuery
Earned mars 17, 2025 EDT
Store, Process, and Manage Data on Google Cloud - Command Line
Earned mars 17, 2025 EDT
Skills Boost Arcade Trivia March 2025 Week 2
Earned mars 13, 2025 EDT
Store, Process, and Manage Data on Google Cloud - Console
Earned mars 1, 2025 EST
Cloud Run Functions: 3 Ways
Earned fév. 27, 2025 EST
Get Started with Cloud Storage
Earned fév. 26, 2025 EST
Get Started with Pub/Sub
Earned fév. 26, 2025 EST
Google Cloud: Prompt Engineering Guide
Earned fév. 26, 2025 EST
Get Started with Dataplex
Earned fév. 25, 2025 EST
Create a Secure Data Lake on Cloud Storage
Earned fév. 25, 2025 EST
Data Lake Modernization on Google Cloud: Cloud Composer
Earned fév. 21, 2025 EST
Level 1: App Dev and Deployment
Earned fév. 12, 2025 EST
Create a Streaming Data Lake on Cloud Storage
Earned fév. 11, 2025 EST
Implement Cloud Security Fundamentals on Google Cloud
Earned fév. 6, 2025 EST
Level 3: Building Blocks
Earned fév. 5, 2025 EST
Skills Boost Arcade Trivia February 2025 Week 1
Earned fév. 4, 2025 EST
Skills Boost Arcade Base Camp February 2025
Earned fév. 4, 2025 EST
Baseline: Infrastructure
Earned jan. 18, 2025 EST
Introduction to AI and Machine Learning on Google Cloud
Earned jan. 14, 2025 EST
Level 3: Arcade Heroes
Earned jan. 14, 2025 EST
The Arcade Base Camp January 2025
Earned jan. 12, 2025 EST
Level 1: Cloud Infrastructure and Data
Earned déc. 25, 2024 EST
Level 3: BigQuery and Firebase
Earned déc. 17, 2024 EST
The Arcade Certification Zone December 2024
Earned déc. 16, 2024 EST
Introduction to Large Language Models
Earned déc. 10, 2024 EST
Introduction to Data Engineering on Google Cloud
Earned déc. 10, 2024 EST
Derive Insights from BigQuery Data
Earned déc. 7, 2024 EST
Introduction to Vertex AI Studio
Earned déc. 6, 2024 EST
The Arcade Base Camp December 2024
Earned déc. 6, 2024 EST
Serverless Data Processing with Dataflow: Foundations
Earned déc. 4, 2024 EST
Introduction to Image Generation
Earned déc. 3, 2024 EST
Introduction to Generative AI
Earned déc. 2, 2024 EST
Prepare Data for Looker Dashboards and Reports
Earned nov. 29, 2024 EST
Basic Performance Measurement
Earned nov. 22, 2024 EST
Preparing for your Professional Data Engineer Journey
Earned oct. 25, 2024 EDT