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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
“服务器” 的结果
- 状态:新状态:预览
Google Cloud
您将获得的技能: Unit Testing, Google Gemini, Debugging, Code Review, Google Cloud Platform, Cloud Applications, Software Testing, Software Development Tools, Application Development, Maintainability, Software Documentation
- 状态:新状态:免费试用
Google
您将获得的技能: Generative AI, AI Product Strategy, Responsible AI, Machine Learning, Innovation, Critical Thinking
- 状态:免费试用
IBM
您将获得的技能: Prompt Engineering, LangChain, Python 程序设计, Flask(网络框架), 应用程序部署, 层叠样式表(CSS), 工程软件, 软件设计, 数据科学, 还原式 API, 机器学习, 响应式网页设计, 软件开发生命周期, 生成式人工智能, Scrum(软件开发), 提示模式, 软件架构, LLM 申请, 数据导入/导出, 大型语言模型
- 状态:新状态:免费试用
您将获得的技能: Prompt Patterns, MarTech, AI Product Strategy, Customer experience improvement, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Deep Learning, Image Quality, Content Creation, Business Ethics, Machine Learning, Image Analysis
- 状态:免费试用
Google Cloud
您将获得的技能: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Data Pipelines, Cloud Platforms, Data Management, Data Governance, Workflow Management, Artificial Intelligence, Deep Learning, Applied Machine Learning, Machine Learning, Cloud Computing, Data Processing, Artificial Neural Networks
- 状态:新状态:预览
您将获得的技能: Penetration Testing, Cybersecurity, Anomaly Detection, Cyber Engineering, Cyber Operations, Cyber Threat Intelligence, Threat Detection, Security Awareness, Network Analysis, Generative AI, Prompt Engineering, Email Security, Machine Learning
- 状态:免费试用
IBM
您将获得的技能: 人工智能, 数据分析, 云计算, 数据驱动的决策制定, 数据扫盲, 数据科学, 数字化转型, 深度学习, 机器学习, 大数据, 数据挖掘
- 状态:新状态:免费试用
您将获得的技能: MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Applied Machine Learning, Data Processing, Regression Analysis, Machine Learning, Supervised Learning, Feature Engineering, Data Cleansing, Continuous Deployment, Unsupervised Learning
- 状态:免费试用
DeepLearning.AI
您将获得的技能: Python 程序设计, 线性代数, 人工智能, 监督学习, 人工神经网络, 机器学习, 微积分, 深度学习
- 状态:免费试用
Johns Hopkins University
您将获得的技能: 数据清理, 数据操作, R 语言程序设计(中文版), 统计可视化, 数据科学, GitHub, 降维, 探索性数据分析, 机器学习, 数据整理, Ggplot2, 数据可视化软件, 统计分析, Knitr, 数据共享, R(软件), Rmarkdown, 统计编程, 版本控制, 绘图(图形)
- 状态:新
Google Cloud
您将获得的技能: Google Gemini, Generative AI, Google Cloud Platform, AI Product Strategy, Responsible AI, Data Governance, Cloud Infrastructure, Cloud Platforms, Artificial Intelligence, Business, MLOps (Machine Learning Operations)
- 状态:免费试用
您将获得的技能: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Big Data, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management
总之,以下是 10 最受欢迎的 服务器 课程
- 借助 Gemini Code Assist 简化应用开发: Google Cloud
- Introduction to AI: Google
- IBM AI 开发人员: IBM
- Generative AI for Growth Marketing: IBM
- Machine Learning on Google Cloud: Google Cloud
- Defending Against AI-Driven Phishing and Social Engineering: LearnQuest
- 什么是数据科学?: IBM
- AWS: Machine Learning & MLOps Foundations: Whizlabs
- 神经网络与深度学习: DeepLearning.AI
- 数据科学:使用 R 的基础: Johns Hopkins University