Orchestrate Workflows with the Data Agent Kit is an advanced-level, instructor-led course designed for practitioners who want to bring natural-language and AI-driven workflows into modern data engineering environments. The course introduces the foundations of agentic data engineering and the Data Agent Kit architecture. Participants learn how ADK-based data agents can interact with Google Cloud data services and how the Model Context Protocol (MCP) provides connectivity between agents and data platforms. Learners build and configure a data agent environment, connect to BigQuery, Spanner, and Cloud SQL, and use the agent to discover and understand enterprise data. The course then explores natural-language-driven data engineering tasks including catalog browsing, universal search, schema and lineage inspection, data quality analysis, SQL transformation generation, BigQuery DataFrames, notebooks, and medallion architecture. Participants also learn how to use the data agent to orchestrate pipelines, build DAGs using natural language, schedule deployments, monitor pipelines, and diagnose failures. The course extends into machine learning workflows using BigQuery ML, including model training, inference, and drift monitoring. Finally, learners explore enterprise security practices including least privilege, principal access boundaries, IAM deny policies, prompt injection protection, document guardrails, and Model Armor.<\/p>\n","protected":false},"excerpt":{"rendered":"
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