Set Up an App Dev Environment on Google Cloud
Earned авг. 2, 2024 EDT
Store, Process, and Manage Data on Google Cloud - Command Line
Earned авг. 2, 2024 EDT
Store, Process, and Manage Data on Google Cloud - Console
Earned июля 30, 2024 EDT
Monitor and Manage Google Cloud Resources
Earned июля 28, 2024 EDT
This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production.
Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Vertex AI platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.
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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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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 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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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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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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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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This course will equip you with the tools to develop complex conversational experiences in Dialogflow CX capable of identifying the user intent and routing it to the right self service flow.
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Complete the intermediate Inspect Rich Documents with Gemini Multimodality and Multimodal RAG skill badge 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. 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 skill badge that you can share with your network.
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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.
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This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.
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This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.
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This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.
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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.
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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.
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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.
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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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This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images
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This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.This course is estimated to take approximately 45 minutes to complete.
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This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.
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This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.
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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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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you use Google products and services to develop, test, deploy, and manage applications. With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data. Using a hands-on lab, you experience how Gemini improves the software development lifecycle (SDLC).
Duet AI was renamed to Gemini, our next-generation model.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.
Duet AI was renamed to Gemini, our next-generation model.
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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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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 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.
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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.
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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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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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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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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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In this course, you will learn the advanced conversational design principles for both the Voice and Caht channels to craft engaging and effective end-to-end experiences that emulate human-like interactions.
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This course explores the foundational principles of conversation design to craft engaging and effective chatbot experiences that emulate human-like experiences.
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In this course you will learn the key architectural considerations that need to be taken into account when designing for the implementation of Conversational AI solutions. Please note Dialogflow CX was recently renamed to Conversational Agents and CCAI Insights was renamed to Conversational Insights.
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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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This course explores advanced technical considerations to optimize Webhook connectivity for comprehensive, end-to-end, Virtual Agent self-service experiences.
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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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Hey there! You're invited to game on with the Arcade Trivia for November 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 November Trivia Week 2 badge!
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Earn a skill badge by completing the Integrate BigQuery Data and Google Workspace using Apps Script quest, where you learn ways to connect Workspace products with BigQuery by using App Sheet. 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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Earn a skill badge by completing the Analyze Sentiment with Natural Language API quest, where you learn how the API derives sentiment from text.
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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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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.
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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.
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Earn the Introductory skill badge by completing the Cloud Speech API: 3 Ways course, where you learn how to use speech related API tools to synthesise and transcribe speech.
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Discover Generative AI and Language Learning through hands-on labs that push your Google Cloud skills further and earn an exclusive Google Cloud Credential that recognizes your ability to tackle real-world challenges.
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Earn a skill badge by completing the Using the Google Cloud Speech API quest, where you learn how create a Speech-to-Text API request, transcribe audio speech to text, and transcribe speech. 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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Earn a skill badge by completing the Use APIs to Work with Cloud Storage quest, where you learn how APIs work in Google, and how to use the Cloud Storage API specifically. 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 Manage Kubernetes in Google Cloud skill badge to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques. 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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Earn a skill badge by completing the The Basics of Google Cloud Compute quest, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine. 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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Earn a skill badge by completing the Networking Fundamentals on Google Cloud quest, where you learn how to work with VPC networks and load balancers 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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Earn the introductory skill badge by completing the Monitoring in Google Cloud course, where you learn how to use Cloud Monitoring tools.
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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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Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.
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Earn a skill badge by completing the 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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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 Tag and Discover BigLake Data skill badge course, where you use BigQuery, BigLake, and Data Catalog within Dataplex to create, tag, and discover BigLake tables.
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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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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 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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Earn a skill badge by completing the Get Started with Eventarc skill badge course, where you use Eventarc to create event triggers for different resources including Pub/Sub topics and Cloud Storage buckets.
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Earn a skill badge by completing the Detect Manufacturing Defects using Visual Inspection AI course, where you learn how to use Visual Inspection AI to deploy a solution artifact and test that it can successfully identify defects in a manufacturing process.
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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.
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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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Earn a skill badge by completing the App Engine`:` 3 ways course, where you learn how to use App Engine with Python, Go, and PHP.
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Complete the intermediate Develop Serverless Apps with Firebase skill badge course to demonstrate skills in the following: architecting and building serverless web applications with Firebase, utilizing Firestore for database management, automating deployment processes using Cloud Build, and integrating Google Assistant functionality into your applications.
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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 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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Earn a skill badge by completing the Use Functions, Formulas and Charts in Google Sheets quest, where you analyze data with functions and visualize data using charts. In this intermediate-level quest, you learn to search, validate, format and display data. 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.
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Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.
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Earn a skill badge by completing the Get Started with API Gateway skill badge course, where you learn how to use API Gateway to deploy, secure, and manage APIs with a fully managed gateway.
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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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Hey there! You're invited to game on with the Arcade Trivia for September 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 September Trivia Week 4 badge!
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Hey there! You're invited to game on with the Arcade Trivia for September 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 September Trivia Week 2 badge!
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Hey there! You're invited to game on with the Arcade Trivia for September 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 September Trivia Week 3 badge!
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Earn a skill badge by completing the Develop your Google Cloud Network skill badge course, where you learn multiple ways to deploy and monitor applications including how to: explore IAM roles and add/remove project access, create VPC networks, deploy and monitor Compute Engine VMs, write SQL queries, deploy and monitor VMs in Compute Engine, and deploy applications using Kubernetes with multiple deployment approaches.
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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.
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Hey there! You're invited to game on with the 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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Earn a skill badge by completing the Get Started with Looker skill badge course, where you learn how to analyze, visualize, and curate data using Looker Studio and Looker.
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Earn a skill badge by completing the 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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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. 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 skill badge that you can share with your network.
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Hey there! You're invited to game on with the Arcade Trivia for August 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 August Trivia Week 4 badge!
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Complete the Analyze BigQuery Data in Connected Sheets skill badge to demonstrate that you can use Connected Sheets to access, analyze, visualize, and share billions of rows of BigQuery data from your Google Sheets spreadsheet.
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Sports are captivating, intense, and fast-paced—and with the latest technology, they’re better than ever. Start your run in the Arcade-athon and earn an exclusive Google Cloud Credential by gaining hands-on experience with Google Cloud's powerful tools and techniques that are transforming your favorite sports!
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Earn an exclusive Google Cloud Credential by gaining hands-on experience with Google Cloud Functions. Learn to create and deploy serverless functions across various programming languages, including Node.js, .NET, PHP, Ruby, and Python. Ideal for everyone, even if you are new to the cloud!
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Hey there! You're invited to game on with the Arcade Trivia for August 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 August Trivia Week 3 badge!
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From creating and optimizing ML models using BigQuery ML, deploying advanced chatbots with Dialogflow CX, to developing no-code chat apps using AppSheet, explore a series of challenges designed to enhance your Google Cloud skills and earn an exclusive Google Cloud Credential!
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Earn an exclusive Google Cloud Credential by gaining practical experience in app development and deployment on the Google Cloud Platform. Learn to build, manage, and scale applications while setting up development environments, storing data, and deploying apps. Perfect for you, even if you are new to the cloud!
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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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Hey there! You're invited to game on with the Arcade Trivia for August 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 August Trivia Week 2 badge!
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Hey there! You're invited to game on with the Arcade Trivia for August 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 August Trivia Week 1 badge!
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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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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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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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Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.
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Complete the introductory 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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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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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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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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This challenge lab tests your skills and knowledge from the labs in the Monitor and Manage Google Cloud Resources quest. You should be familiar with the content of labs before attempting this lab.
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned сент. 18, 2025 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned июня 28, 2025 EDT
Prepare Data for ML APIs on Google Cloud
Earned июня 28, 2025 EDT
Build a Secure Google Cloud Network
Earned июня 28, 2025 EDT
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned июня 27, 2025 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned июня 26, 2025 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned июня 24, 2025 EDT
Digital Transformation with Google Cloud
Earned июня 21, 2025 EDT
Exploring Data Transformation with Google Cloud
Earned июня 21, 2025 EDT
Building Complex End to End Self-Service Experiences in Dialogflow CX
Earned июня 21, 2025 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned дек. 27, 2024 EST
Vector Search and Embeddings
Earned дек. 25, 2024 EST
Responsible AI for Developers: Fairness & Bias
Earned дек. 25, 2024 EST
Responsible AI for Developers: Interpretability & Transparency
Earned дек. 25, 2024 EST
Responsible AI for Developers: Privacy & Safety
Earned дек. 25, 2024 EST
Machine Learning Operations (MLOps) for Generative AI
Earned дек. 25, 2024 EST
Gemini for DevOps Engineers
Earned дек. 25, 2024 EST
Gemini for Network Engineers
Earned дек. 25, 2024 EST
Introduction to Vertex AI Studio
Earned дек. 24, 2024 EST
Create Image Captioning Models
Earned дек. 24, 2024 EST
Transformer Models and BERT Model
Earned дек. 24, 2024 EST
Encoder-Decoder Architecture
Earned дек. 24, 2024 EST
Attention Mechanism
Earned дек. 24, 2024 EST
Introduction to Image Generation
Earned дек. 24, 2024 EST
Gemini for end-to-end SDLC
Earned дек. 24, 2024 EST
Gemini for Data Scientists and Analysts
Earned дек. 24, 2024 EST
Gemini for Application Developers
Earned дек. 24, 2024 EST
Gemini for Security Engineers
Earned дек. 23, 2024 EST
Gemini for Cloud Architects
Earned дек. 22, 2024 EST
Develop Gen AI Apps with Gemini and Streamlit
Earned дек. 19, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned дек. 11, 2024 EST
Prompt Design in Vertex AI
Earned дек. 6, 2024 EST
Introduction to Responsible AI
Earned дек. 3, 2024 EST
Introduction to Large Language Models
Earned дек. 3, 2024 EST
Introduction to Generative AI
Earned дек. 3, 2024 EST
Advanced Conversation Design
Earned нояб. 22, 2024 EST
Conversation Design Fundamentals
Earned нояб. 22, 2024 EST
Customer Engagement Suite with Google AI Architecture
Earned нояб. 22, 2024 EST
Conversational AI Voice and Chat Integrations
Earned нояб. 22, 2024 EST
Advanced Performance Measurement
Earned нояб. 20, 2024 EST
Basic Performance Measurement
Earned нояб. 20, 2024 EST
Advanced Webhook Concepts
Earned нояб. 20, 2024 EST
Webhook fundamentals
Earned нояб. 19, 2024 EST
The Arcade Trivia November 2024 Week 2
Earned нояб. 16, 2024 EST
Integrate BigQuery Data and Google Workspace using Apps Script
Earned сент. 26, 2024 EDT
Analyze Sentiment with Natural Language API
Earned сент. 26, 2024 EDT
Configure Service Accounts and IAM Roles for Google Cloud
Earned сент. 26, 2024 EDT
Analyze Images with the Cloud Vision API
Earned сент. 25, 2024 EDT
Build Real World AI Applications with Gemini and Imagen
Earned сент. 24, 2024 EDT
Cloud Speech API: 3 Ways
Earned сент. 24, 2024 EDT
Level 3: GenAIus Chats
Earned сент. 22, 2024 EDT
Using the Google Cloud Speech API
Earned сент. 22, 2024 EDT
Use APIs to Work with Cloud Storage
Earned сент. 21, 2024 EDT
Manage Kubernetes in Google Cloud
Earned сент. 21, 2024 EDT
The Basics of Google Cloud Compute
Earned сент. 21, 2024 EDT
DEPRECATED Networking Fundamentals on Google Cloud
Earned сент. 21, 2024 EDT
Monitoring in Google Cloud
Earned сент. 20, 2024 EDT
Secure BigLake Data
Earned сент. 20, 2024 EDT
Analyze Speech and Language with Google APIs
Earned сент. 20, 2024 EDT
Create a Secure Data Lake on Cloud Storage
Earned сент. 20, 2024 EDT
Get Started with Cloud Storage
Earned сент. 19, 2024 EDT
Tag and Discover BigLake Data
Earned сент. 19, 2024 EDT
The Arcade Certification Zone September 2024
Earned сент. 19, 2024 EDT
Get Started with Dataplex
Earned сент. 17, 2024 EDT
Get Started with Pub/Sub
Earned сент. 17, 2024 EDT
Get Started with Eventarc
Earned сент. 16, 2024 EDT
Detect Manufacturing Defects Using Visual Inspection AI
Earned сент. 16, 2024 EDT
Set Up a Google Cloud Network
Earned сент. 16, 2024 EDT
The Arcade Base Camp September 2024
Earned сент. 15, 2024 EDT
App Engine: 3 Ways
Earned сент. 13, 2024 EDT
Develop Serverless Apps with Firebase
Earned сент. 13, 2024 EDT
Cloud Run Functions: 3 Ways
Earned сент. 12, 2024 EDT
Share Data Using Google Data Cloud
Earned сент. 12, 2024 EDT
Use Functions, Formulas, and Charts in Google Sheets
Earned сент. 9, 2024 EDT
Automate Data Capture at Scale with Document AI
Earned сент. 9, 2024 EDT
Get Started with API Gateway
Earned сент. 8, 2024 EDT
Derive Insights from BigQuery Data
Earned сент. 8, 2024 EDT
The Arcade Trivia September 2024 Week 4
Earned сент. 8, 2024 EDT
The Arcade Trivia September 2024 Week 2
Earned сент. 7, 2024 EDT
The Arcade Trivia September 2024 Week 3
Earned сент. 7, 2024 EDT
Develop Your Google Cloud Network
Earned сент. 5, 2024 EDT
Deploy Kubernetes Applications on Google Cloud
Earned сент. 3, 2024 EDT
The Arcade Trivia September 2024 Week 1
Earned сент. 2, 2024 EDT
Get Started with Looker
Earned сент. 1, 2024 EDT
Streaming Analytics into BigQuery
Earned авг. 28, 2024 EDT
Implement DevOps Workflows in Google Cloud
Earned авг. 28, 2024 EDT
The Arcade Trivia August 2024 Week 4
Earned авг. 28, 2024 EDT
Analyze BigQuery Data in Connected Sheets
Earned авг. 25, 2024 EDT
The Arcade-athon
Earned авг. 24, 2024 EDT
Level 3: Google Cloud Functions
Earned авг. 22, 2024 EDT
The Arcade Trivia August 2024 Week 3
Earned авг. 21, 2024 EDT
Level 2: Machine Learning and AI Skills
Earned авг. 20, 2024 EDT
Level 1: Application Development and Deployment
Earned авг. 17, 2024 EDT
The Arcade Certification Zone August 2024
Earned авг. 16, 2024 EDT
The Arcade Trivia August 2024 Week 2
Earned авг. 15, 2024 EDT
The Arcade Trivia August 2024 Week 1
Earned авг. 15, 2024 EDT
Prepare Data for Looker Dashboards and Reports
Earned авг. 15, 2024 EDT
Use Machine Learning APIs on Google Cloud
Earned авг. 14, 2024 EDT
The Arcade Base Camp August 2024
Earned авг. 12, 2024 EDT
Build a Data Warehouse with BigQuery
Earned авг. 11, 2024 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned авг. 11, 2024 EDT
Set Up an App Dev Environment on Google Cloud
Earned авг. 2, 2024 EDT
Store, Process, and Manage Data on Google Cloud - Command Line
Earned авг. 2, 2024 EDT
Store, Process, and Manage Data on Google Cloud - Console
Earned июля 30, 2024 EDT
Monitor and Manage Google Cloud Resources
Earned июля 28, 2024 EDT