Machine Learning Writers

Talented beginners & intermediate developers who understand models conceptually struggle to ship robust, maintainable, cost-aware AI applications when applying it in business.

We cover RAG systems for startups, fine-tuning LLMs at scale, deploying agents in customer-facing products, & teaching Python-to-production paths.

If this interest's you, Hands-On AI Engineering was written so you can replicate the exact engineering habits (reliability, evaluation, monitoring) that are essential's for jobs & side projects. It is focused on practical steps you can implement while reading to improve your skillset as an AI engineer.

If you'd like to stay in the loop & keep up with and the fast moving field, follow us on amazon.