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。

您将获得的技能: Strategic Decision-Making, Corporate Strategy, Business Strategies, Business Strategy, Business Ethics, Strategic Planning, Growth Strategies, Strategic Thinking, Organizational Strategy, Environmental Social And Corporate Governance (ESG), Strategic Prioritization, Business Planning, Operational Efficiency, Business Process Reengineering, Organizational Effectiveness, Operational Analysis, Corporate Sustainability, Competitive Analysis, Market Share, Portfolio Management
混合 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: LLM Application, AI Security, Large Language Modeling, Security Testing, Data Loss Prevention, Continuous Monitoring, Responsible AI, Threat Detection, System Monitoring, Personally Identifiable Information, Anomaly Detection, Data Security
初级 · 项目 · 不超过 2 小时

Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Dataflow, Data Transformation, Applied Machine Learning, Data Modeling, Keras (Neural Network Library), Machine Learning, Deep Learning
中级 · 课程 · 1-3 个月

您将获得的技能: Embeddings, Vector Databases, PostgreSQL, Google Cloud Platform, SQL, Database Design, Relational Databases, Generative AI
初级 · 项目 · 不超过 2 小时

University of Maryland, College Park
您将获得的技能: Online Advertising, Digital Advertising, Advertising, Analytics, Big Data, Paid media, Social Media Strategy, Social Media, Data Ethics, Marketing, Digital Media Strategy, Social Media Marketing, Data-Driven Decision-Making, Social Media Campaigns, Return On Investment, Descriptive Analytics, Law, Regulation, and Compliance, Trend Analysis, Customer Engagement, Information Privacy
初级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Management, Cloud Deployment, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Performance Tuning, Feature Engineering, Machine Learning Algorithms
高级设置 · 课程 · 1-4 周

您将获得的技能: Rmarkdown, Web Scraping, Geospatial Information and Technology, Microsoft Azure, Cloud Storage, Interactive Data Visualization, R Programming, Data Collection, Cloud Services, Data Manipulation, Data Science, Data Visualization Software, Data Integration, Data Analysis, Data Ethics, Application Programming Interface (API)
初级 · 课程 · 1-3 个月

您将获得的技能: Adobe Illustrator, Typography, Design Software, Graphical Tools, Adobe Creative Cloud, Design Elements And Principles, Layout Design
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Amazon Elastic Compute Cloud, Application Deployment, Predictive Modeling, Data Pipelines, Extract, Transform, Load, Data Processing
中级 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning
中级 · 专项课程 · 1-3 个月

Google Cloud
您将获得的技能: 生成式人工智能, Prompt Engineering, LLM 申请, 自然语言处理, 大型语言模型, Google 双子座
初级 · 课程 · 1-4 周

Università di Napoli Federico II
您将获得的技能: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling
中级 · 课程 · 1-4 周