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.
AI Reading Assistant
Whole-book reading guide from stratified index samples; jump to passages in the text
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