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找到最适合您目标的 AI 课程
状态：新状态：免费试用您将获得的技能: Prompt Engineering, LangChain, Tool Calling, LangGraph, Agentic systems, Multimodal Prompts, Generative AI, LLM Application, Generative AI Agents, Responsible AI, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Development, Large Language Modeling, UI Components, Semantic Web, Data Storage Technologies, Databases, Software Development
状态：免费试用您将获得的技能: Data Modeling, Stakeholder Engagement, Database Design, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Warehousing, Data Pipelines, Data Integrity, Data Validation, Data-Driven Decision-Making, Data Visualization, Interviewing Skills, Business Process, Business Analysis, Professional Development, Google Gemini, Data Analysis, SQL
状态：免费试用您将获得的技能: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
状态：免费试用Duke University
您将获得的技能: 微软 Azure, 云计算, Python 程序设计, 数据分析, 数据管理, MLOps（机器学习 Operator）, 应用程序部署, 数据操作, GitHub, 探索性数据分析, CI/CD, 机器学习, AWS SageMaker, 数据管道, Devops, 集装箱化, 大数据, Pandas（Python 软件包）, NumPy, 负责任的人工智能
状态：免费试用Google Cloud
您将获得的技能: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, AI Personalization, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms
状态：免费试用您将获得的技能: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming
是什么让您今天来到 Coursera？
状态：免费试用Stanford University
您将获得的技能: 统计建模, 机器学习算法, 网络分析, 统计推理, 抽样（统计）, 计算思维, 网络模型, 机器学习, 应用机器学习, 概率分布, 图论, 统计方法, 贝叶斯网络, 马尔可夫模型, Algorithm, 决策支持系统, 自然语言处理, 概率与统计
状态：免费试用您将获得的技能: Prompt Engineering, Prompt Patterns, Generative AI, Large Language Modeling, Responsible AI, AI Personalization, Mobile Development, ChatGPT, Anthropic Claude, Artificial Intelligence, LLM Application, Software Development Tools, Software Testing, Apple iOS, Test Automation, Software Development, Machine Learning Methods, DevSecOps, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML)
状态：免费试用Imperial College London
您将获得的技能: 创造性思维, 人工智能, 可持续设计, 创新, 原型设计, 集思广益, 批判性思维, 构思, 设计思维, 创造力, 认知灵活性
状态：免费试用ESSEC Business School
您将获得的技能: 数据叙事, 案例研究, 数据分析, 预测, 同行评审, R 语言程序设计（中文版）, 营销分析, 客户分析, 数字化转型, 高级分析, 统计分析, 企业战略, 预测分析, 人力资源分析, 分析技能, 解决复杂问题, 信息技术, 统计编程, 商业分析, 统计方法
状态：免费试用您将获得的技能: Stakeholder Engagement, Business Intelligence, Data-Driven Decision-Making, Dashboard, Business Analytics, Real Time Data, Data Integration, Data Modeling, Data Analysis, Key Performance Indicators (KPIs), Business Metrics, Business Process, Project Implementation, Data Pipelines
状态：新状态：免费试用您将获得的技能: Digital Advertising, Paid media, Presentations, Social Media Campaigns, Advertising Campaigns, Digital Marketing, Web Analytics, Search Engine Optimization, Content Strategy, LinkedIn, Content Marketing, Social Media Marketing, Marketing Analytics, Target Audience, E-Commerce, Social Media Strategy, Smart Goals, Business Analysis, Market Analysis
总之，以下是 10 最受欢迎的 artificial intelligence 课程
- IBM RAG and Agentic AI: IBM
- Google Business Intelligence: Google
- Google Advanced Data Analytics: Google
- MLOps | 机器学习运营: Duke University
- Advanced Machine Learning on Google Cloud: Google Cloud
- IBM AI Enterprise Workflow: IBM
- 概率图形模型: Stanford University
- Generative AI for Mobile App Developers: IBM
- 高级创新思维与人工智能：成功的工具: Imperial College London
- 战略商业分析: ESSEC Business School
