您将获得的技能: Responsible AI, Artificial Intelligence, Data Ethics, Business Ethics, Governance, AI Product Strategy, AI Security, Ethical Standards And Conduct, Continuous Improvement Process, Cross-Functional Collaboration

您将获得的技能: Prompt Engineering, Responsible AI, Generative AI, Generative Model Architectures, Code Review, Data Ethics, Artificial Intelligence, Object Oriented Programming (OOP), Large Language Modeling, Software Technical Review, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Artificial Neural Networks, Maintainability, Computer Programming, Debugging, Problem Solving, Critical Thinking, Data Analysis

您将获得的技能: 数据分析, 自然语言处理, 健康信息学, 文本挖掘, 大型语言模型, 机器学习, 模型评估, 统计分析, 临床试验, 应用机器学习, 精准医疗, 病人治疗, 深度学习, AI 个性化服务

您将获得的技能: 数据驱动的决策制定, 负责任的人工智能, 人力资源, 员工队伍规划, 留住员工, 招聘, 人才招聘, 生成式人工智能, 员工培训, 员工参与, 人力资源战略, 趋势分析, 数据伦理, 劳动力发展, 人力资源技术

您将获得的技能: 生成对抗网络 (GAN), 生成式人工智能, 自然语言处理, 概率与统计, 大型语言模型, ChatGPT, 生成模型架构, 深度学习, 图像分析

您将获得的技能: 负责任的人工智能, 跨职能合作, 劳动力发展, AI 产品战略, 业务领导, 多样性与包容性, 战略领导力, 商业道德, 人才管理, 工作场所的包容性, AI 安全

您将获得的技能: Responsible AI, AI Enablement, Data Ethics, Google Cloud Platform, Artificial Intelligence, Business Ethics, Technology Roadmaps, Business Logic, Law, Regulation, and Compliance, Safety and Security

您将获得的技能: 数据分析, 数据预处理, 预测, 概率与统计, 随机森林算法, 机器学习, 预测建模, 逻辑回归, 统计分析, 应用机器学习, 决策树学习, 功能工程, 风险模型, 深度学习, 模型评估

您将获得的技能: Responsible AI, AI Enablement, Data Ethics, AI Product Strategy, Business Ethics, Artificial Intelligence, Governance, Compliance Training, Verification And Validation, Ethical Standards And Conduct, Project Implementation, Business Modeling

您将获得的技能: Prompt Engineering, 拥抱的脸, 负责任的人工智能, Microsoft Copilot, 大型语言模型, 检索-增强生成, 生成式人工智能, 应用编程接口 (API), ChatGPT, 机器学习, OpenAI 应用程序接口, Python 程序设计, OpenAI

您将获得的技能: Prompt Engineering, 负责任的人工智能, 应用编程接口 (API), 生成式人工智能, ChatGPT, OpenAI 应用程序接口, 关键管理, 数据伦理, 人工智能, 计算机编程, AI 安全

您将获得的技能: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming