您将获得的技能: Stakeholder Engagement, User Story, Stakeholder Communications, Executive Presence, Persuasive Communication, Strategic Communication, Communication Planning, Influencing, Leadership, Project Risk Management, Stakeholder Management, Data Management, Professional Development, Team Building, Data Integrity, Meeting Facilitation, Negotiation, Data Presentation, Communication, Risk Management

您将获得的技能: Encryption, 网络安全, 密码学, 暴力攻击, 公钥加密标准（PKCS）, 数据完整性

您将获得的技能: 新兴技术, 显示设备, 市场趋势, 电信, 企业战略, 产品规划, 网络分析, 技术标准, 操作系统, 苹果 iOS, 外围设备, 无线网络, 安卓（操作系统）

您将获得的技能: 计算机视觉, 自然语言处理, 分类学, 深度学习, 机器人, AI 赋能, 机器学习, 人工智能

您将获得的技能: 生成式人工智能, 大型语言模型, 生成对抗网络 (GAN), 人工神经网络, ChatGPT, 负责任的人工智能, 深度学习, 机器学习, 人工智能, OpenAI

您将获得的技能: 心理学, 个人发展, 创造性思维, 专业网络, 适应, 自我意识, 文化多样性, 决策, 劳动力发展, 专业发展, 设计思维, 社会科学

您将获得的技能: Audit Planning, Service Level Agreement, Data Governance, Systems Development Life Cycle, Data Loss Prevention, Security Testing, Network Security, Software Development Life Cycle, IT Management, Systems Development, Incident Management, Problem Management, Control Objectives for Information and Related Technology (COBIT), Cryptography, Cloud Management, Software Development Methodologies, Auditing, Quality Assurance, Internal Controls, Risk Management Framework

您将获得的技能: 微积分, 数据科学, 数值分析, 积分微积分, 线性代数, 衍生产品, 数学理论与分析, 应用数学

您将获得的技能: 生成式人工智能, 新兴技术, AI 产品战略, 数据伦理, 市场趋势, 人工智能, ChatGPT, 机器学习, 负责任的人工智能, 人机界面, 深度学习, 市场数据, 克劳德人类学, 监督学习, 商业智能, OpenAI

您将获得的技能: Penetration Testing, Test Script Development, Brute-force attacks, Cloud Security, Network Analysis, API Testing, General Data Protection Regulation (GDPR), Wireless Networks, Security Controls

您将获得的技能: 防火墙, Network Protocol（网络协议, 网络管理, Google 云端平台, 负载平衡, 云服务, Networking 路由器, 通用网络, Network Security, 虚拟网络化

您将获得的技能: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Data Preprocessing, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Supervised Learning, Dataflow, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning