Reliable and effective AI-powered data pipelines delivered in just a month of lunches!
Learn AI Data Engineering in a Month of Lunches is a fast, friendly guide to integrating large language models into your data workflows. In just 17 short lessons, you’ll learn how AI can help you handle time-consuming data engineering tasks including transformations, calculations, and the never-ending chore of data cleaning–all illustrated with instantly-familiar SQL and Python use cases!
In
Learn AI Data Engineering in a Month of Lunches you’ll learn how to:
- Craft smarter prompts to get the best results from LLMs on data tasks
- Use ChatGPT to write, debug, and optimize SQL and Python faster
- Embed AI directly into pipelines to automate code, analysis, and enrichment
- Clean, transform, and extract insights from real-world messy data with AI
- Build agentic workflows that capture and scale subject matter expertise
Learn AI Data Engineering in a Month of Lunches shows you far more than copy-pasting prompts or using AI as a coding assistant. You’ll learn how to integrate LLMs at an API level to give a real performance and efficiency boost to your pipelines. Each chapter contains a new relevant technique to automate transformations, enrich datasets, and accelerate tedious workflows with AI.