Engineers and engineering leaders who build, deploy, and scale software systems.

Broad professional audience — content relevant across many roles and functions.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building, training, and deploying machine learning models — from classical ML to deep learning.

Train a real ML model, then run and fine-tune an LLM, all hands-on in one half-day, in notebooks you keep.

PhD in ML | Google AI Accelerator Alum

Google