您将获得的技能: Figma (Design Software), User Experience Design, Mockups, User Centered Design, Usability Testing, User Interface (UI) Design, Design Elements And Principles, Interaction Design, Prototyping, Technical Communication, Typography, Layout Design, Animations, Color Theory

您将获得的技能: Email Marketing, Campaign Management, Copywriting, Marketing Strategy and Techniques, Email Automation, Personally Identifiable Information, Digital Marketing, Marketing Automation, Newsletters, HubSpot CRM, Marketing Analytics, Promotional Strategies, Data Ethics, A/B Testing, Smart Goals, Customer Retention, Key Performance Indicators (KPIs), Goal Setting

您将获得的技能: 减缓气候变化, 管理, 可持续发展, 经济学, 社会影响, 政策分析, 环境资源管理, 企业可持续发展, 环境科学, 环境政策, 研究

您将获得的技能: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Data Preprocessing, Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Data Migration, Apache Airflow, Model Evaluation, Data Lakes, Scikit Learn (Machine Learning Library), Cloud Computing

您将获得的技能: 心理学, 科学与研究, 机器人, 人工智能, 人类学习, 人为因素, 人类学

您将获得的技能: Human Development, Diversity Awareness, Health Education, Cultural Sensitivity, Psychology, Sociology, Childhood Education and Development, Interpersonal Communications, Biology

您将获得的技能: 设计策略, 英语, 设计元素和原则, 语言学习, 口头表达

您将获得的技能: OpenShift, Kubernetes, Cloud Management, Network Administration, Cloud Computing Architecture, Virtual Networking, Containerization, Network Troubleshooting, System Configuration, API Testing

您将获得的技能: 环境, 可持续性标准, 能源与公用事业, 经济学, 适应气候变化, 可持续工程, 水资源管理, 人口统计, 环境科学, 环境资源管理, 环境政策, 可持续发展, 社会科学, 水资源

您将获得的技能: 营销策略, 激励技能, 企业传讯, 谈判, 危机管理, 组织领导力, 营销, 战略传播, 管理团队, 构思, 说服沟通, 设计思维, 数据驱动的决策制定, 创新, 协作, 资源分配, 团队领导, 影响, 团队合作, 以人为本的设计

您将获得的技能: 学习策略, 课程规划, 文科, 自我意识, 创造性思维, 课堂管理, 社会学, 情绪商数, 艺术史, 创造力, 学生参与, 设计思维, 指导, 学习风格, 美学, 教学策略, 教学, 备课, 同理心, 扫盲

您将获得的技能: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision