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

Khoá học thực chiến giúp Product Manager hiểu đủ sâu về công nghệ để ra quyết định tốt hơn, giao tiếp hiệu quả với đội kỹ thuật, và không bị "lạc lối" trong các cuộc hội ý về kiến trúc hệ thống.

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.