AI 伦理学课程可以帮助您了解人工智能系统在不同情况下如何影响公平性、透明度和问责制。您可以培养识别 Bias、评估模型影响以及将伦理框架应用到实际案例中的技能。许多课程介绍了用于审计数据集、审查系统行为和评估负责任的 AI 实践的工具,这些工具可以指导深思熟虑的决策。

University of Michigan
您将获得的技能: Legal Technology, Responsible AI, AI Enablement, Artificial Intelligence, Critical Thinking, Experimentation, Advocacy, Legal Strategy, AI Workflows, Generative AI, ChatGPT, Prompt Engineering, Creativity, Communication
初级 · 课程 · 1-4 周

您将获得的技能: PyTorch(机器学习库), 生成式人工智能, 自然语言处理, 大型语言模型, 迁移学习, 应用机器学习, 性能调整, 嵌入, 文本挖掘
中级 · 课程 · 1-4 周

University of Virginia
您将获得的技能: Model View Controller, Integrated Development Environments, Data Modeling, Database Design, Software Development Tools, NoSQL, Database Architecture and Administration, Application Programming Interface (API), OpenAI, ChatGPT, Version Control, Infrastructure Architecture, Artificial Intelligence, API Design
初级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Microsoft Copilot, Responsible AI, Microsoft 365, Microsoft Office, Information Management, Generative AI, Productivity Software, Microsoft Word, Content Creation
初级 · 课程 · 1-3 个月

Microsoft
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Data Ethics, Azure DevOps Pipelines, Azure DevOps, Model Deployment, Generative AI, AI Workflows, Microsoft Azure, Application Lifecycle Management, CI/CD, Version Control, System Monitoring, Continuous Monitoring
中级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Generative AI, Prompt Engineering, Instructional Design, Design Strategies, Content Creation, Creative Design, Emerging Technologies, Professional Development
初级 · 课程 · 1-4 周

您将获得的技能: Unsupervised Learning, Predictive Modeling, Supervised Learning, Model Evaluation, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Classification Algorithms, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Data Science, Unstructured Data, Data Preprocessing, Algorithms
混合 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Generative AI, Google Cloud Platform, Responsible AI, Gemini, AI Product Strategy, AI Enablement, Cloud Infrastructure, Artificial Intelligence, LLM Application, MLOps (Machine Learning Operations), Data Centers, Innovation
初级 · 课程 · 1-3 个月

您将获得的技能: AI Personalization, Mobile Development, Generative AI, Anthropic Claude, LLM Application, Apple iOS, AI Product Strategy, Machine Learning Methods, Driving engagement, Application Design, Cloud Development, Data Strategy, Embedded Software, User Interface and User Experience (UI/UX) Design
中级 · 课程 · 1-4 周

您将获得的技能: Supervised Learning, Data Preprocessing, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Data Transformation, Data Manipulation, Model Evaluation, Exploratory Data Analysis, Classification Algorithms, Regression Analysis
初级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Precision Medicine, Biomedical Engineering, Energy and Utilities, Medical Imaging, Artificial Intelligence, Electric Power Systems, Bioinformatics, Deep Learning, Sustainable Technologies, Generative AI, Applied Machine Learning, Predictive Modeling, Molecular Biology, Anomaly Detection, Pharmacology
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: 应用编程接口 (API), 数据处理, 生成式人工智能, LLM 申请, JSON, Prompt Engineering, 网络应用, OpenAI, OpenAI 应用程序接口
初级 · 指导项目 · 不超过 2 小时