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Ket Vui Chia
Date d'abonnement : 2025
Google Cloud Data Analytics Essentials
Earned oct. 2, 2025 EDT
Share Data Using Google Data Cloud
Earned août 2, 2025 EDT
Build a Data Mesh with Knowledge Catalog
Earned juil. 30, 2025 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned juil. 29, 2025 EDT
Prepare Data for ML APIs on Google Cloud
Earned juil. 27, 2025 EDT
Derive Insights from BigQuery Data
Earned juil. 22, 2025 EDT
Build a Data Warehouse with BigQuery
Earned juil. 10, 2025 EDT
Streaming Analytics into BigQuery
Earned juil. 10, 2025 EDT
Introduction to Data Engineering on Google Cloud
Earned juin 4, 2025 EDT
Gen AI Agents: Transform Your Organization
Earned mai 27, 2025 EDT
Gen AI Apps: Transform Your Work
Earned mai 26, 2025 EDT
Gen AI: Navigate the Landscape
Earned mai 25, 2025 EDT
Gen AI: Unlock Foundational Concepts
Earned mai 25, 2025 EDT
Intro to BigQuery: Analytics & Machine Learning
Earned mai 20, 2025 EDT
Gen AI: Beyond the Chatbot
Earned mai 19, 2025 EDT
Cloud Hero Network Skills
Earned mai 16, 2025 EDT
Build a Certification Study Guide: PDE Exam Prep
Earned mai 14, 2025 EDT
Cloud Hero Kubernetes Skills
Earned mai 13, 2025 EDT
Cloud Hero for Cloud Digital Leader
Earned mai 8, 2025 EDT
Generative AI and ML with Vertex AI
Earned mai 6, 2025 EDT
Data Storage Quiz: Store and manage my data efficiently
Earned avr. 11, 2025 EDT
Modernization Quiz: Modernize my existing applications
Earned avr. 11, 2025 EDT
Scalability Quiz: Make my application scalable and reliable
Earned avr. 11, 2025 EDT
Automation Quiz: Automate my development workflow
Earned avr. 11, 2025 EDT
Data Defense Quiz: Secure my application and data
Earned avr. 11, 2025 EDT
Data Insights Quiz: Analyze my data to gain insights
Earned avr. 11, 2025 EDT
Discover how to turn raw numbers into clear, data-driven decisions on Google Cloud. Through hands-on labs and practical real-world scenarios, this beginner-level course guides you through querying data in BigQuery, exploring trends in Looker, and crafting shareable, interactive reports in Data Studio.
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Earn a skill badge by completing the Share Data Using Google Data Cloud skill badge course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards.
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Complete the introductory Build a Data Mesh with Knowledge Catalog skill badge to demonstrate skills in the following: building a data mesh with Knowledge Catalog 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 Knowledge Catalog.
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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 Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Managed Service for Apache Spark, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
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Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Data Studio by connecting to BigQuery data.
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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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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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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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Gen AI Agents: Transform Your Organization is the fifth and final course of the Gen AI Leader learning path. This course explores how organizations can use custom gen AI agents to help tackle specific business challenges. You gain hands-on practice building a basic gen AI agent, while exploring the components of these agents, such as models, reasoning loops, and tools. Explore other content in the Gemini Agent Ready (GEAR) program.
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Transform Your Work With Gen AI Apps is the fourth course of the Gen AI Leader learning path. This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and Gemini Notebook. It guides you through concepts like grounding, retrieval augmented generation, constructing effective prompts and building automated workflows.
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Gen AI: Navigate the Landscape is the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
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Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.
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Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
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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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Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Data Engineer certification exam.
You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.
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Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
En savoir plus
Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
En savoir plus
Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
En savoir plus
Utilize Google's diverse storage and database options to handle various data types and workloads effectively.
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Transition your legacy applications to modern architectures using Google Cloud's containerization, serverless, and managed Kubernetes solution.
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Ensure your application can handle fluctuating traffic and remain available with Google''s robust infrastructure and auto-scaling features.
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Streamline your development process by using automated CI/CD pipelines, infrastructure provisioning, and serverless functions.
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Protect your applications and data with Google''s comprehensive security tools, ensuring confidentiality, integrity, and availability.
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Extract valuable insights from your data with Google's scalable analytics tools for processing, warehousing, and visualizing information.
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