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在整个课程(说明和评估)中使用的语言。
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课程长度必需的
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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: 利益相关者的参与, 产品路线图, Prompt Engineering, 创新, 商业化, 生成模型架构, 产品开发, AI 产品战略, 新产品开发, 产品生命周期管理, 人工智能, 负责任的人工智能, 产品管理, 产品战略, 项目管理生命周期, 生成式人工智能, OpenAI, 提示模式, 产品规划, 可用性测试
- 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: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:免费试用
IBM
您将获得的技能: 数据科学, Prompt Engineering, 机器学习, PyTorch(机器学习库), 无监督学习, 人工神经网络, Python 程序设计, 生成式 AI 代理, 监督学习, Keras(神经网络库), 大型语言模型, 强化学习, LLM 申请, 功能工程, 生成式人工智能, 张力流, 深度学习, 自然语言处理, 应用机器学习, Machine Learning 方法
是什么让您今天来到 Coursera?
- 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: 自助服务技术, 数据科学, 应用程序部署, 机器学习, Prompt Engineering, 工作流程管理, AI 产品战略, ChatGPT, 人工智能和机器学习(AI/ML), 商业智能, 业务工作流程分析, LLM 申请, 负责任的人工智能, 深度学习, 生成式人工智能, 无代码开发, 提示模式, IBM 云, 行动导向, 自然语言处理
- 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:新状态:免费试用
您将获得的技能: Threat Detection, Penetration Testing, Exploit development, Cyber Threat Intelligence, Threat Management, Linux Administration, Incident Response, Vulnerability Scanning, Cyber Security Assessment, Vulnerability Management, Vulnerability Assessments, Cybersecurity, Network Security, Network Monitoring, Bash (Scripting Language), Network Troubleshooting, Anomaly Detection, Cyber Attacks, Computer Security, Network Analysis
- 状态:免费试用状态:人工智能技能
IBM
您将获得的技能: 交互式数据可视化, 探索性数据分析, 数据分析, 数据整理, 数据清理, 数据扫盲, 监督学习, 专业网络, 数据导入/导出, 仪表板, 数据可视化软件, SQL, 同行评审, 无监督学习, 生成式人工智能, 数据转换, 数据可视化, 功能工程, Plotly, Jupyter
- 状态:免费试用状态:人工智能技能
IBM
您将获得的技能: 数据叙事, 交互式数据可视化, Excel 公式, 数据分析, 探索性数据分析, 微软Excel, 数据整理, 数据导入/导出, 专业网络, 数据清理, 仪表板, SQL, Python 程序设计, 数据可视化软件, 大数据, 生成式人工智能, 数据可视化, 数据转换, IBM Cognos 分析, Plotly
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
- 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
- 面向所有人的人工智能基础: IBM
- IBM AI Enterprise Workflow: IBM
- IBM Ethical Hacking with Open Source Tools: IBM