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Hands-on mini courses and long-form reference handbooks on AI engineering, ML practice, computer vision, and on-device systems.
ML Handbook: ML Engineering with AI
35 chaptersintermediate7 sectionsIntermediateAI-EngineeringClaude-CodeML-Practice+1 moreA handbook for ML engineers whose primary implementation engine is an AI agent. Practice for the era when the bottleneck is deciding and verifying, no...
May 2026Read →
Tech Literacy for PMs
9 lessonsbeginner9 sessionsBeginnerProduct-ManagementWeb-DevelopmentAPI+2 moreA hands-on course that gives Product Managers enough technical depth to make better decisions, communicate effectively with engineering, and never fee...
Mar 2026Start Course →
AnyLabeling: AI-Powered Data Annotation
11 lessonsbeginner11 lessonsBeginnerAnyLabelingData-AnnotationSegment-Anything+3 moreMaster data annotation with AnyLabeling — from manual labeling to AI-assisted workflows with SAM and YOLO, custom model integration, export pipelines,...
Mar 2026Start Course →
DaisyKit: AI for Everyone
10 lessonsbeginner10 lessonsBeginnerDaisyKitComputer-VisionAI-Deployment+2 moreLearn to deploy real-time AI pipelines — face detection, human pose, background matting, hand pose, and object detection — with just a few lines of Py...
Mar 2026Start Course →
OpenCV Computer Vision Course
13 lessonsbeginner13 lessonsBeginnerOpenCVComputer-VisionImage-Processing+3 moreA comprehensive OpenCV 4.x course covering image processing, filtering, edge detection, contours, feature matching, video analysis, and deep learning ...
May 2023Start Course →