容器式開發如Docker等，在國外已成風潮，國內企業也逐漸盛行，對企業資訊流效能有很大助益，尤其是在AI自動化方面，目前是Google等大廠在AI資源上進行管理的主要工具，如Kubeflow，它在AI自動化流程如CI/CD已著墨甚深，本團隊已導入遷移學習、Bagging、及各種基礎AI流程，我們更結合Node-red之圖控介面，使非資訊專業及相關資訊專業人員可以快速開發主要的AI應用，不需具備程式基礎，或是只需基本AI概念，即可快速看到結果，並套入特殊應用場域，目前我們已開發IOT物聯網情境及量子機器學習等應用，此次演講將先介紹我們的開發成果，在講解開發架構及應用情境。

聽眾收穫：

了解何謂AI流程自動化及圖控式開發的應用實例，並思考如何套入企業應用。我們會從基本AI Ops原理介紹容器式開發應用於模組式開發之應用，如docker開發及與外部軟體串接方法，另外也會介紹Node-red之圖控介面在各方面應用。，也會示範如何串接AI自動化模組，如Kubeflow。

Container-based development such as Docker has become a trend abroad and is gradually becoming popular among domestic enterprises. It is of great help to the efficiency of enterprise information flow, especially in AI automation. It is currently the main method used by major companies such as Google to manage AI resources. Tools, such as Kubeflow, have been deeply involved in AI automation processes such as CI/CD. However, it takes many laborious steps to make full use of the benefits of these packages. Our team has introduced transfer learning, bagging, and various basic AI processes. We have also combined Node-red's graphic control interface to enable non-information majors to and related information professionals can quickly develop major AI applications without any programming foundation, or only need basic AI concepts to quickly see the results and apply them to special application fields. At present, we have developed IOT Internet of Things scenarios. and quantum machine learning and other applications. This speech will first introduce our development results, and then explain the development architecture and application scenarios. The communication between the two packages is through kfp server API. 

Benefit

Understand the application examples of AI process automation and graphic development, and think about how to incorporate them into enterprise applications. We will introduce the application of container development to modular development from the basic AI Ops principles, such as docker development and concatenation methods with external software. We will also introduce the application of Node-red's graphic control interface in various aspects. , and will also demonstrate how to connect AI automation modules, such as Kubeflow.