筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
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教师必需的
“ibm 云” 的结果
状态：免费试用状态：人工智能技能您将获得的技能: Prompt Engineering, 数据导入/导出, 云计算, 应用程序部署, 云计算架构, CI/CD, 工程软件, Kubernetes, Node.JS, 响应式网页设计, Django （网络框架）, 还原式 API, Git（版本控制系统）, 软件架构, 软件开发生命周期, React Redux, 云服务, 应用设计, Istio, 对象关系映射
状态：免费试用状态：人工智能技能您将获得的技能: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Artificial Intelligence, Machine Learning, Regression Analysis, Network Architecture, Network Model, Predictive Modeling, Natural Language Processing, Probability & Statistics
状态：新状态：免费试用您将获得的技能: LangChain, Tool Calling, LangGraph, LLM Application, Agentic systems, Generative AI Agents, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Application Design, Prompt Engineering, Large Language Modeling, Collaborative Software, Software Design Patterns, System Design and Implementation, Software Development, Python Programming, Application Development, Real Time Data, Data Science
状态：免费试用状态：人工智能技能IBM
您将获得的技能: 利益相关者的参与, Prompt Engineering, 人工智能, 新产品开发, 创新, 商业化, AI 产品战略, 产品开发, 项目管理生命周期, 产品规划, 产品战略, 生成模型架构, 产品生命周期管理, 利益相关者管理, 产品管理, 生成式人工智能, 可用性测试, 提示模式, 产品路线图, OpenAI
状态：免费试用状态：人工智能技能您将获得的技能: Prompt Engineering, Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Hibernate (Java), Database Design, Responsive Web Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Object Oriented Programming (OOP), Microservices, CI/CD, Restful API, Java Programming, Engineering Software, Version Control, Database Management, Software Design
状态：免费试用您将获得的技能: Data Storytelling, Risk Mitigation, Business Analysis, Business Process Modeling, Risk Analysis, Project Scoping, Process Flow Diagrams, Stakeholder Analysis, Process Optimization, Data Visualization, Requirements Management, Prompt Engineering, Risk Management, Stakeholder Management, Digital Transformation, Responsible AI, Excel Formulas, Microsoft Excel, Business Analytics, Business Requirements
是什么让您今天来到 Coursera？
状态：免费试用状态：人工智能技能您将获得的技能: User Story, Program Management, Stakeholder Management, Resource Allocation, Agile Software Development, Agile Methodology, Kanban Principles, Project Management Life Cycle, Backlogs, Change Management, Project Management Office (PMO), Organizational Change, Responsible AI, Sprint Retrospectives, Agile Project Management, Organizational Strategy, Risk Management, Governance, Project Management, Leadership
状态：免费试用状态：人工智能技能您将获得的技能: 事件响应, 云计算, 网络威胁猎杀, Linux 命令, 计算机安全事件管理, 面试技巧, 数据库管理, 身份和访问管理, 网络安全, 渗透测试, 恶意软件保护, 网络安全评估, IT 服务管理, Operating System 管理, Network Security, Information Technology Infrastructure Library, 网络威胁情报, 端点安全, 网络硬件, 治理 风险管理与合规
状态：免费试用您将获得的技能: Dashboard, Data Storytelling, Data Visualization, Database Design, MySQL, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, Data Visualization Software, IBM DB2, Tableau Software, Relational Databases, Star Schema, Interactive Data Visualization, IBM Cognos Analytics, Microsoft SQL Servers, Data-Driven Decision-Making, Excel Formulas, Microsoft Excel
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
状态：免费试用IBM
您将获得的技能: Python 程序设计, Prompt Engineering, 数据科学, Machine Learning 方法, 无监督学习, PyTorch（机器学习库）, 人工神经网络, 张力流, 机器学习, 生成式 AI 代理, 监督学习, 强化学习, 生成式人工智能, Keras（神经网络库）, 功能工程, LLM 申请, 深度学习, 应用机器学习, 大型语言模型, 自然语言处理
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
总之，以下是 10 最受欢迎的 ibm 云 课程
- IBM Full Stack Software Developer: IBM
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Building AI Agents and Agentic Workflows: IBM
- IBM AI 产品经理: IBM
- IBM Java Developer: IBM
- IBM Business Analyst: IBM
- IBM Program Manager: IBM
- IBM Cybersecurity Analyst: IBM
- IBM Business Intelligence (BI) Analyst: IBM
- IBM AI Enterprise Workflow: IBM
