AI serves as a pivotal driver for advancing large-scale intelligent manufacturing. Its applications span various domains including quality control, robotic vision, human-machine collaboration, production safety, and facility inspection. The manufacturing industry requires a training platform for algorithms and models. This platform should also support big data systems, simulation and scientific computing systems, and expert knowledge bases. Quality inspection plays a key role in manufacturing. Traditional optical methods often lack precision and flexibility. AI-based intelligent automatic optical inspection (AOI) can significantly improve the accuracy and flexibility of optical inspection. It is applicable to quality inspection in many manufacturing sectors, such as electronic products, semiconductor wafers, outer packaging boxes, batteries, automobile parts, printed textiles, camera barrels, pipes, and wires.