Claude for Data Engineers — Ship Real Data Projects

About this course

A data project that used to take a team months, you'll deliver alone in days. This course teaches you to run Claude the way a senior consultant does — from a client's Statement of Work all the way to a monitored production deployment — using real warehouses, real code, and real guardrails.

This is not a prompt-tips course. Across 28 modules and 113 lessons you work a single running client — Northwind Retail — from blank SOW to shipped pipeline. You'll drive every Claude API capability that matters for data work, turn natural language into cost-aware SQL on Snowflake and Databricks, generate and review dbt / PySpark / Airflow pipelines, build production agents with the Claude Agent SDK, wire your stack together with MCP, and finish by delivering an end-to-end project as a certification capstone.

What makes this course different:

Project-driven, not feature-driven. One real client (Northwind Retail) runs through the whole course — SOW → requirements → design → build → test → deploy → operate.

Code-first and warehouse-real. Real SQL on Snowflake and Databricks, real dbt models, PySpark transforms, and Airflow DAGs — with validation and cost guardrails, not toy snippets.

Built on the 2026 Claude stack. The messages API, streaming, structured outputs, prompt caching, tool use, the Claude Agent SDK, the native memory tool, context editing, and MCP — taught by building, not by slideware.

Senior-engineer review reflexes. Every generation is followed by a "review it like a senior" pass — anti-pattern galleries, self-correcting queries, generated tests, and data contracts.

Ship-it mindset. Monitoring, alerting, incident triage, FastAPI services, SSE streaming, cost control at data scale, threat-modeling, prompt-injection-via-your-data, PII and least privilege.

Zero hallucination.

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