您将获得的技能: Culture, Pharmacology, Health Care, Cultural Diversity, Liberal Arts, Medical Practices and Procedures, Medical Science and Research, Medical History Documentation, Ancient History, Nutrition and Diet

您将获得的技能: Microsoft Azure, Cloud Services, Cloud Platforms, Cloud Computing, Cloud Storage, Cloud Security, Network Security, Identity and Access Management, Virtual Networking

您将获得的技能: Construction, Construction Engineering, Product Testing, Structural Engineering, Laboratory Testing, Building Codes, Construction Inspection, Construction Management, Process Validation, Civil Engineering, Structural Analysis, Engineering Analysis, Engineering Design Process, Engineering Calculations, Simulation and Simulation Software, Safety Standards, Design

您将获得的技能: 实验室设备, 机械设计, 医疗设备, 半导体, 过程控制, 电子元件, 电子产品, 工程学, 嵌入式软件, 产品测试, 制造工艺, 性能调整, 电气与计算机工程, 自动化工程, 电子工程, 机器控制, 数学建模, 嵌入式系统, 控制系统, 测试设备

您将获得的技能: 电信, 医疗隐私, 个人身份信息, 法律研究, 新兴技术, 数据伦理, 法院系统, 网络安全, 一般数据保护条例》（GDPR）, 互操作性, IT 安全架构, Data Governance, 技术路线图, 判例法, 法律, 信息隐私, 数据安全, 技术标准, 欧洲历史, 国际关系

您将获得的技能: 卫生系统, 互操作性, 健康信息学, 机器学习, 远程保健, 流行病学, 数字扫盲, 健康差异, 大数据, 人工智能, 健康技术, 电子病历, 公共卫生, 医疗保健

您将获得的技能: 数据库, 健康信息学, 互操作性, 医疗记录, 数据科学, 健康信息管理, 大数据, Query 语言, 临床信息学, 数据分析, 医疗保健, 电子病历系统, 数据质量

您将获得的技能: Epidemiology, Interviewing Skills, Public Health and Disease Prevention, Medical Privacy, Ethical Standards And Conduct, Community Outreach, Rapport Building, Public Health, Infectious Diseases, Interpersonal Communications, Case Management, Investigation, Health Technology

您将获得的技能: 生理学, 医学术语, 病理学, 解剖学, 神经学, 诊断测试, 病人治疗

您将获得的技能: Value-Based Care, Continuous Quality Improvement (CQI), Chronic Diseases, ICD Coding (ICD-9/ICD-10), Community Health, Continuous Improvement Process, Medical Management, Managed Care, Health Equity, Preventative Care, Constructive Feedback, Care Management, Active Listening, Medical Coding, Health Disparities, CPT Coding, Public Health, Social Determinants Of Health, Organizational Change, Leadership

您将获得的技能: 生理学, 化学, 细胞生物学, 解剖学, 医学术语, 生物学

您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Model Evaluation, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing