Everyone tells brewers to “get into AI” and almost nobody shows them the actual steps. This 4-part series is the map and the reading list: a staged, practical roadmap from the brewhouse to working AI, with a specific free, open resource behind every step — Microsoft Learn, Kaggle Learn, freeCodeCamp, Google’s Machine Learning Crash Course, and Google’s PAIR People + AI Guidebook. The only thing it costs is consistent evenings.
This is the how-to companion to my first-person From Brewer to AI story. No hype, as always — where each tool helps, I’ll show you; where it confidently misleads, I’ll show you that too.
The series
- A Brewer’s Step-by-Step Roadmap into AI (with Free Resources) — the five stages, why you already own the hardest part, and the whole free toolkit at a glance.
- Foundations First: Data Literacy and Python for Brewers — spreadsheets to Power BI with Microsoft Learn, then just-enough Python with Kaggle Learn and freeCodeCamp.
- Your First Machine-Learning Model on Brewing Data — the concepts free via Google’s ML Crash Course and Kaggle, then a small real model in scikit-learn, judged honestly.
- Generative and Human-Centred AI for Brewers — using generative AI well, and building with it responsibly using Google’s PAIR People + AI Guidebook.
Read them in order — each builds on the last. Every post in the series is tagged #brewer-ai-roadmap.
When you’re ready to apply it, the Brewing Science & AI track is full of concrete brewing problems to learn against.