Our Training

This course provides students with basic front-end development skills. At the end of this course, students should be familiar with the reference design draft and use the comprehensive HTML + CSS technology to complete the PC and mobile terminal development

The course is based on the practical problems and skill requirements involved in the project development process, teaching Java basic grammar knowledge, collection, threads and classloader and JVM related knowledge and code readable line requirements, programming ideas, etc. Cases are presented as Spring frame based, involving filters, listeners, ORM, cache and other knowledge points. And introduced from the actual combat perspective of access control, affairs, unified exception handling and unified response.

Master the basics of FastAPI framework and AI microservice development Understand AI Agent architecture, including tool calls, task planning, and context management Complete initial integration of AI services with Spring Cloud Gateway and Java services

Base SAS Programming ，Advanced SAS Programming，Clinical SAS Programmer/Data Analyst，Statistical Modeling in SAS

This training program covers technical topics in the field of AI engineering, including but not limited to:

- Project introduction and task assignment, data analysis, data visualization, data cleaning, and retrieval-augmented generation (RAG);

- Hands-on projects in machine learning (ML) and deep learning (DL), including implementing natural language processing (NLP) algorithms;

- Explanation of the LangChain architecture and development of question-answering (QA) systems and chatbot customer service modules;

- Practical experience in using large language models (LLM) for resume parsing to extract information, as well as API integration and report generation.