Hey Prefect community! 👋 We just launched a free self-paced course that teaches you how to deploy and orchestrate data workflows using Prefect. In the Prefect lesson, you’ll learn how to: 1. Wrap your dlt pipeline in Prefect flows and tasks. 2. Launch a local Prefect server to orchestrate workflows. 3. Monitor pipeline runs, logs, and states in the Prefect UI. 4. Use flow.serve() to deploy locally and trigger runs via CLI or UI. 5. Schedule your pipeline for automated execution. 6. Deploy your workflow remotely using Prefect Cloud. 7. Implement incremental loading, backfilling and parallelize your pipelines. 8. Implement retries, timeouts, logging and caching. What is dlt? dlt is an open-source Python library for declaratively building pipelines — extract, normalize, and load your data with zero boilerplate. Pairing dlt with Prefect lets you orchestrate production-grade ELT with minimal setup. Start learning here: https://dlthub.learnworlds.com/course/deploy-dlt-pipeline