Membro dal giorno 2025
Analyze Sentiment with Natural Language API
Earned ago 20, 2026 EDT
Crea un mesh di dati con Knowledge Catalog
Earned lug 31, 2026 EDT
Arcade Simulator: Data Mesh Architect
Earned lug 31, 2026 EDT
Build a Data Warehouse with BigQuery
Earned lug 30, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned lug 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.
Completa il corso introduttivo con badge delle competenze Crea un mesh di dati con Knowledge Catalog per dimostrare le tue competenze nei seguenti ambiti: creare un mesh di dati con Knowledge Catalog per facilitare governance, discovery e sicurezza dei dati su Google Cloud. Ti eserciterai e metterai alla prova le tue competenze nel tagging degli asset, nell'assegnazione di ruoli IAM e nella valutazione della qualità dei dati in 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.