个结果，搜索词为 "机智"
您将获得的技能: Data Visualization, Generative AI, Oral Expression, Large Language Modeling, Ideation, Artificial Intelligence, Scenario Testing, Business Correspondence, Productivity, Complex Problem Solving, Report Writing, Organizational Skills, Solution Design, Document Management, Critical Thinking, Software Versioning, Context Management, Machine Learning
状态：顶级 AI 计划Stanford University
您将获得的技能: 机器学习, 人工智能, 功能工程, 健康信息学, 临床研究伦理, 管理式医疗, 临床数据管理, 临床研究, 医疗保健, 医疗保健伦理, 负责任的人工智能, 模型评估, 医疗保健行业知识, 药品, 卫生系统, 模型部署, 数据伦理, 非结构化数据, 应用机器学习, 数据挖掘, Model Evaluation
National Taiwan University
您将获得的技能: Computational Logic, Artificial Intelligence, Simulations, Computational Thinking, Programming Principles, Theoretical Computer Science, Algorithms, Machine Learning
IBM
您将获得的技能: 机器学习, 人工智能, 数据扫盲, 云计算, 数据驱动决策, 数据分析, 大数据, 数字化转型, 数据科学, 深度学习, 数据挖掘
状态：顶级 AI 计划IBM
您将获得的技能: 机器学习, 生成式人工智能, 人工智能, 无代码开发, 负责任的人工智能, 人工智能工作流程, 深度学习, 自助服务技术, 实时数据, 自然语言处理, 模型部署, 机器人, 人工智能和机器学习（AI/ML）, 数据科学, ChatGPT, 及时工程, 机器学习软件, 应用程序部署, IBM 云计算, 提示模式, Prompt Engineering
您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Business Analysis, Data-Driven Decision-Making, Data Analysis, AI Security, Business Analytics, Artificial Intelligence, Business Process Automation, Stakeholder Communications, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Personalization, Business Strategy, Machine Learning, Context Management
是什么让您今天来到 Coursera？
您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, HR Tech, Human Resources Management and Planning, Human Resources, Workforce Planning, Human Resource Strategy, LLM Application, AI Enablement, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, AI Personalization, Employee Engagement, Recruitment, Machine Learning
National Taiwan University
您将获得的技能: Reinforcement Learning, Theoretical Computer Science, Supervised Learning, Classification Algorithms, Model Evaluation, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Deep Learning, Decision Tree Learning, Algorithms, Convolutional Neural Networks, Network Architecture
Google Cloud
您将获得的技能: Google Gemini, Generative AI Agents, Prompt Engineering, Responsible AI, Retrieval-Augmented Generation, Generative AI, Google Cloud Platform, Google Workspace, AI Enablement, AI Product Strategy, Customer experience improvement, Gemini, AI Security, Productivity Software, AI Workflows, Agentic systems, Cloud Platforms, Cloud Computing, Artificial Intelligence, Collaboration
状态：职业准备就绪您将获得的技能: Data Storytelling, Data Visualization, A/B Testing, Sampling (Statistics), Data Analysis, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Data Ethics, Feature Engineering, Statistical Hypothesis Testing, Statistics, Statistical Analysis, Data Science, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
DeepLearning.AI
您将获得的技能: 机器学习, 计算机视觉, 卷积神经网络, PyTorch（机器学习库）, 监督学习, 自然语言处理, 数据预处理, 人工神经网络, 嵌入, MLOps（机器学习运营）, 拥抱的脸, 调试, 迁移学习, Keras（神经网络库）, 递归神经网络 (RNN), 深度学习, 应用机器学习, 性能调整, 张力流, Transfer Learning, 图像分析
您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Real Time Data, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Responsible AI, AI Personalization, SQL, Data Analysis, Machine Learning
总之，以下是 10 最受欢迎的 机智 课程
- Google Prompting Essentials: Google
- 医疗保健领域的人工智能: Stanford University
- 人工智慧：搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
- 什么是数据科学？: IBM
- 面向所有人的人工智能基础: IBM
- Generative AI for Business Analysts: IBM
- Generative AI for Human Resources (HR) Professionals: IBM
- 人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
- Generative AI Leader: Google Cloud
- Google Advanced Data Analytics: Google
