Учасник із 2025
Analyze Sentiment with Natural Language API
Earned серп. 20, 2026 EDT
Створення сітки даних за допомогою Knowledge Catalog
Earned лип. 31, 2026 EDT
Arcade Simulator: Data Mesh Architect
Earned лип. 31, 2026 EDT
Build a Data Warehouse with BigQuery
Earned лип. 30, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned лип. 13, 2026 EDT
Earn a skill badge by completing the Analyze Sentiment with Natural Language API quest, where you learn how the API derives sentiment from text.
Пройдіть вступний кваліфікаційний курс Створення сітки даних за допомогою Knowledge Catalog, щоб продемонструвати свої навички створення такої сітки для покращеної безпеки даних, керування ними й пошуку в Google Cloud. Ви потренуєтеся й перевірите свої навички щодо позначення тегами об’єктів, призначення ролей IAM і перевірки якості даних у Knowledge Catalog.
Welcome to this month's Arcade Simulator where you will be a Data Mesh Architect. In this simulation, you'll first tackle BigQuery to build date-partitioned tables, solve complex join pitfalls, and master nested data structures. Then, you'll shift to decentralized governance using Dataplex Knowledge Catalog to organize assets, assign metadata, and enforce strict cloud security. Complete with two realistic challenge labs, this simulation equips you to break down data silos, scale your infrastructure, and run a secure, seamless data mesh.
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.
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 Gemini Enterprise Agent Platform empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.