您将获得的技能: 心理学, 学习理论, 教育与培训, 人类发展, 教学法, 社会科学, 儿童发展, 高等教育, 教育软件和技术, 学校心理学

您将获得的技能: Supervised Learning, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Predictive Modeling, Flask (Web Framework), Python Programming, Deep Learning, PyTorch (Machine Learning Library), Programming Principles, Web Applications

您将获得的技能: Salesforce Development, Data Validation, AI Workflows, Code Coverage, Prompt Engineering, Test Automation, Verification And Validation, Generative AI, Debugging

您将获得的技能: Web Components, LESS, Web Development, Semantic Web, Web Content Accessibility Guidelines, Scalability

您将获得的技能: Prompt Engineering, AI Workflows, AI Orchestration, Generative AI, AI Enablement, API Design, AI Security, Software Development, Database Design, Automation

您将获得的技能: Spatial Data Analysis, GIS Software, Geospatial Information and Technology, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, User Interface (UI), Application Development, Python Programming, Application Design, Data Science, Application Deployment, User Interface (UI) Design

您将获得的技能: ASP.NET, Microsoft Copilot, .NET Framework, Application Programming Interface (API), Middleware, Server Side, Restful API, C# (Programming Language), Back-End Web Development, Application Frameworks, JSON, Software Documentation, Secure Coding, Programming Principles, Extensible Markup Language (XML)

您将获得的技能: 冲刺回顾, 精益方法, 产品要求, 团队管理, 用户故事, 敏捷软件开发, 敏捷方法, 看板原则, 敏捷项目管理, 绩效衡量, 积压工作, 冲刺计划, 工作流程管理, Scrum（软件开发）, Agile 项目管理, Agile 软件开发, Agile 方法论

您将获得的技能: CI/CD, Scalability

您将获得的技能: 恢复性应用程序接口, 认证, 模型视图控制器, 基于角色的访问控制（RBAC）, Apache Maven, Java, 应用安全, 模型-视图-控制器, 开发环境, 应用编程接口 (API), 授权（计算）, 网络应用

您将获得的技能: Algorithm, 实时操作系统, 计算机结构, 系统要求, 算法, C（编程语言）, 模拟, 系统设计与实施, 调试, 嵌入式系统, 验证和确认

您将获得的技能: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Preprocessing, Machine Learning, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation, Scalability