Description
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.
about the book
Learn AI Data Engineering in a Month of Lunches teaches you to apply AI to the most important data engineering tasks. You’ll build a portfolio of hands-on projects, like querying the Pagila DVD rental database with ChatGPT, performing real-time sentiment analysis on news headlines, and even prototyping agentic workflows that simulate real business rules. With each lesson designed to fit into a lunch break, you’ll learn just enough theory to understand the why, and then immediately put it into practice.






Reviews
There are no reviews yet