您将获得的技能: 深度学习, 拥抱的脸, 自然语言处理, 生成式人工智能, 大型语言模型, 模型部署, OpenAI, Prompt Engineering, 生成模型架构, IBM 云

您将获得的技能: 线性代数, 深度学习, 概率分布, 机器学习, 人工神经网络, 机器学习算法, 强化学习, 伪代码, 功能工程, 监督学习

您将获得的技能: Insurance, Portfolio Risk, Supply And Demand, Insurance Policies, Risk Management, Investments, Wealth Management, Risk Management Framework, Portfolio Management, Market Dynamics, Financial Planning, Investment Management, Finance, Economics, Asset Management, Financial Management, Economic Development, Behavioral Economics, Cost Benefit Analysis, Business Economics

您将获得的技能: 文化, 社会影响, 残疾, 电子媒体, 媒体与传播, 社会正义, 社会学, 道德标准与行为, 社会科学, 世界历史

您将获得的技能: Azure Active Directory, Role-Based Access Control (RBAC), Microsoft Azure, Single Sign-On (SSO), Active Directory, Cloud Management, Identity and Access Management, Authorization (Computing), Authentications, Multi-Factor Authentication, User Provisioning, Data Governance, Cloud Services, User Accounts, Security Controls, Virtual Machines, Self Service Technologies, Scalability

您将获得的技能: 创新, 减缓气候变化, 环境科学, 环境, 新兴技术, 可持续技术, 可持续性标准, 尽量减少废物, 营养与饮食, 水资源的可持续性, 预防污染, 餐饮, 可持续发展

您将获得的技能: IT Management, Control Objectives for Information and Related Technology (COBIT), Cloud Management, Quality Assurance, Compliance Auditing, Technology Strategies, Governance, Enterprise Architecture, Audit Planning, Information Technology Infrastructure Library, Risk Management, Risk Analysis, Cloud Computing, Business Priorities, Change Control, Change Management, Resource Management, Internal Controls, Business Intelligence, Compliance Management

您将获得的技能: Python 程序设计, 数据结构, 开发环境, 版本控制, 数据操作, Git（版本控制系统）, 虚拟环境, Pandas（Python 软件包）, 软件开发工具, NumPy, 数据分析软件

您将获得的技能: 应用程序部署, 还原式 API, 云部署, Istio, Kubernetes, 可扩展性, 应用程序开发, 微服务, 无服务器计算, 云应用, 软件架构, Flask（网络框架）, IBM 云, 应用程序接口网关, 云计算, OpenShift

您将获得的技能: 创新, 技术写作, 知情同意, 科学方法, 研究, 道德标准与行为, 数据完整性, 数据共享, 数据伦理, 知识产权

您将获得的技能: 周转资金, 客户分析, 事务处理, 市场趋势, 市场动态, 区块链, 金融科技, 市场机遇, 新兴技术, 供应链系统, 利益相关者分析, 现金流量, 商业银行, 市场分析, 金融市场, 风险模型, 供应链, 供应商管理, 供应链管理, 现金管理

您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Generative AI, Deep Learning, Transfer Learning, MLOps (Machine Learning Operations), Convolutional Neural Networks, Software Visualization, Model Evaluation, Computer Vision