--- title: "From prompt to production: a free course on agentic data engineering" url: https://daily.dev/posts/from-prompt-to-production-a-free-course-on-agentic-data-engineering-qhqcay6uu source_url: https://dlthub.com/blog/agentic-data-engineering-course type: article source: "dltHub" published: 2026-05-12T09:29:40.723Z updated: 2026-05-12T09:30:08.515Z tags: ["python", "devops", "ai-agents", "data-engineering"] reading_time: 8 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # From prompt to production: a free course on agentic data engineering **[dltHub](https://daily.dev/sources/dlthub)** · 8 min read · 0 upvotes · 0 comments ## Summary dltHub has launched a free, self-paced 1-hour course called 'Agentic Data Engineering with dltHub' covering how to build production-grade data pipelines using AI agents. The course spans five lessons across four phases: defining outcomes, building ingestion pipelines, modeling data, and shipping/monitoring. It introduces the AI Workbench — an instruction set that guides agents (Claude, Cursor, Copilot) through a 12-step workflow with guardrails around credential handling, schema validation, incremental loading, and deployment. The course targets data and analytics engineers who already use AI coding tools daily and want pipelines that outlast the initial prompt, not beginners. Key differentiators include metadata flowing between pipeline steps so agents maintain context, and a propose-verify-enforce pattern that prevents agents from skipping critical checks. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [dltHub: dlt made agents good at building pipelines. Now they're safe enough to run for your whole team.](https://daily.dev/posts/dlthub-dlt-made-agents-good-at-building-pipelines-now-they-re-safe-enough-to-run-for-your-whole-te-wrcai08os) · dltHub · 1 upvotes · 0 comments - [Agents can write dlt pipelines. Now they can run & deploy them.](https://daily.dev/posts/agents-can-write-dlt-pipelines-now-they-can-run-deploy-them--vqtnhbzgx) · dltHub · 1 upvotes · 0 comments - [Introducing dltHub Pro: Claude/Codex/Cursor-native data engineering](https://daily.dev/posts/introducing-dlthub-pro-claude-codex-cursor-native-data-engineering-jufe1mr4h) · dltHub · 0 upvotes · 0 comments - [Why you still need data people in the agentic era & what for](https://daily.dev/posts/why-you-still-need-data-people-in-the-agentic-era-what-for-3ai3tfdwb) · dltHub · 0 upvotes · 0 comments - [LLM-native EL workshop on Data Talks Club](https://daily.dev/posts/llm-native-el-workshop-on-data-talks-club-y3f6g6knp) · dltHub · 1 upvotes · 0 comments --- Tags: [#python](https://daily.dev/tags/python), [#devops](https://daily.dev/tags/devops), [#ai-agents](https://daily.dev/tags/ai-agents), [#data-engineering](https://daily.dev/tags/data-engineering) [View this post on daily.dev](https://daily.dev/posts/from-prompt-to-production-a-free-course-on-agentic-data-engineering-qhqcay6uu)