This product is an end-to-end AI inference solution for IoT devices based on the open source AI application framework OpenVINO. It integrates deep learning model inference, data preprocessing, post-processing, and uploading functions, and supports deploying and running TensorFlow models on edge devices. At the same time, through the C++ interface, it provides a unified model development and deployment API for developers to build a low-threshold end-to-end AI development environment.
This document outlines a four-day practical training course designed to provide complete instruction on using and maintaining the Agilent Series 1100 Liquid Chromatograph with Diode Array Detector and ChemStation for 3D analysis. The curriculum covers essential topics including Windows integration, method elements, qualitative data analysis, spectral libraries, routine maintenance, integration, quantification, sequence execution, and advanced reporting styles. This manual is written in Italian.
The training course lasts for four days.
The course is for chemists responsible for the operation and maintenance of Agilent Series 1100 liquid chromatographs.
The course uses ChemStation Agilent for LC version A.06.xx.