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
字幕必需的
教师必需的
探索 IBM Watson 课程目录
Coursera Project Network
您将获得的技能: IBM Cloud, Self Service Technologies, Application Deployment, AI Personalization, Customer Inquiries, Customer Engagement, Cloud Computing, Customer Service, Natural Language Processing
状态：免费试用状态：人工智能技能IBM
您将获得的技能: 创新, 人工智能, 产品路线图, AI 产品战略, 利益相关者管理, Prompt Engineering, 利益相关者的参与, 产品生命周期管理, 新产品开发, 生成模型架构, 产品开发, 产品管理, 生成式人工智能, 可用性测试, OpenAI, 产品规划, 项目管理生命周期, 产品战略, 商业化, 提示模式
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, Application Development, Software Design Patterns, System Design and Implementation, Software Development, Python Programming, Real Time Data, Data Science
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IBM
您将获得的技能: 无代码开发, 机器学习, 人工智能, LLM 申请, 自助服务技术, 数据科学, 人工智能和机器学习（AI/ML）, ChatGPT, 工作流程管理, Prompt Engineering, 业务工作流程分析, 负责任的人工智能, 图像质量, 自然语言处理, 生成式人工智能, IBM 云, 应用程序部署, 行动导向, 提示模式, 深度学习
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
是什么让您今天来到 Coursera？
状态：免费试用IBM
您将获得的技能: 机器学习, PyTorch（机器学习库）, 数据科学, 大型语言模型, LLM 申请, Machine Learning 方法, Prompt Engineering, 无监督学习, 监督学习, Python 程序设计, 强化学习, 人工神经网络, 生成式 AI 代理, Keras（神经网络库）, 功能工程, 生成式人工智能, 应用机器学习, 自然语言处理, 深度学习, 张力流
状态：预览您将获得的技能: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
状态：免费试用IBM
您将获得的技能: 机器学习, 探索性数据分析, 数据科学, 预测建模, 数据分析, 统计推理, 无监督学习, 回归分析, 强化学习, 降维, 统计方法, 功能工程, Python 程序设计, 统计假设检验, 生成模型架构, 数据处理, 应用机器学习, 机器学习算法, 监督学习, 深度学习
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：免费试用您将获得的技能: 人工智能, 集成开发环境, 单元测试, 软件开发生命周期, Flask（网络框架）, 还原式 API, Python 程序设计, 应用编程接口 (API), 应用程序部署, 网络应用, 编程原则
状态：免费试用状态：人工智能技能您将获得的技能: React Native, Prompt Engineering, Software Development Life Cycle, Flutter (Software), Swift Programming, Mobile Development, Software Architecture, Apple Xcode, Android Studio, React Redux, Android Development, Apple iOS, Responsive Web Design, Git (Version Control System), GitHub, Android (Operating System), Cascading Style Sheets (CSS), React.js, User Experience Design, AI Personalization
总之，以下是 10 最受欢迎的 ibm watson 课程
- Building Smart Business Assistants with IBM Watson: Coursera Project Network
- IBM AI 产品经理: IBM
- Building AI Agents and Agentic Workflows: IBM
- IBM RAG and Agentic AI: IBM
- 面向所有人的人工智能基础: IBM
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- IBM 人工智能工程: IBM
- Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
- IBM 机器学习: IBM
- IBM AI Enterprise Workflow: IBM
