A handbook for ML engineers whose primary implementation engine is an AI agent. Practice for the era when the bottleneck is deciding and verifying, not typing.

ML Handbook: ML Engineering with AI

A hands-on course that gives Product Managers enough technical depth to make better decisions, communicate effectively with engineering, and never feel lost in an architecture discussion.

Tech Literacy for PMs

Master data annotation with AnyLabeling — from manual labeling to AI-assisted workflows with SAM and YOLO, custom model integration, export pipelines, and active learning strategies for production ML teams.

AnyLabeling: AI-Powered Data Annotation

Learn to deploy real-time AI pipelines — face detection, human pose, background matting, hand pose, and object detection — with just a few lines of Python using DaisyKit.

DaisyKit: AI for Everyone

A comprehensive OpenCV 4.x course covering image processing, filtering, edge detection, contours, feature matching, video analysis, and deep learning inference with YOLO26 — from beginner to production.

Courses & Books

ML Handbook: ML Engineering with AI