Prompt 工程课程
Prompt 工程课程可以帮助您学习如何为 AI 模型设计有效的提示，了解自然语言 Processing 的细微差别，并优化与人工智能系统的交互。您可以掌握制作清晰指令、完善 Query 以获得更好响应以及评估 AI 输出相关性和准确性的技能。
热门 Prompt 工程课程和认证
状态：新状态：免费试用您将获得的技能: Retrieval-Augmented Generation, OpenAI API, Context Management, User Interface (UI), Vector Databases, Debugging
状态：免费试用您将获得的技能: Prompt Engineering, AI Orchestration, AI Workflows, Model Context Protocol, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Generative AI, Generative AI Agents, Vector Databases, OpenAI API, Embeddings, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Software Development
状态：免费试用您将获得的技能: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Logistic Regression, Statistical Hypothesis Testing, Model Evaluation, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
状态：免费试用University of Colorado Boulder
您将获得的技能: 电气工程, 数值分析, 物理学, 工程分析, 图像质量, 设计软件, 计算机辅助设计, 系统设计, 电子元件, 模拟和模拟软件, 工程计算, 人为因素, 图像分析, 应用数学, 工程学, 系统设计与实施, 性能调整, 工程设计流程, 电磁学, 系统配置
您将获得的技能: WordPress, Search Engine Optimization, Blogs, Web Analytics, Web Content, Keyword Research, Information Architecture, Content Management, Marketing, Analytics, Web Design, Web Development
您将获得的技能: WordPress, Content Management Systems, Web Content, Web Design and Development, Web Design, Web Development, Blogs, Social Media, Content Management, Marketing, Design, Computer Science
是什么让您今天来到 Coursera？
状态：免费Princeton University
您将获得的技能: 硬件架构, 计算机工程, 可扩展性, 计算机系统, 分布式计算, 计算机结构, 操作系统, 微架构, 性能调整
状态：新状态：免费试用您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning
状态：新状态：免费试用您将获得的技能: Prompt Engineering, AI Personalization, Customer Insights, Selling Techniques, Sales Process, Generative AI, Customer Relationship Management (CRM) Software, Sales Presentation, Sales Presentations, Workflow Management, Verbal Communication Skills, Product Knowledge, Sales Prospecting, Microsoft Copilot, Customer Relationship Management, Sales Enablement, Communication, Sales Strategy, Business Process Automation, Automation
状态：免费试用University of Toronto
您将获得的技能: 卷积神经网络, 机器控制, 自动化, 计算机视觉, Networking 路由器, 深度学习, 模拟, 估算, 硬件架构, 机器人, 控制系统, 嵌入式软件, 安全保障, 全球定位系统, 交通流优化, 图像分析, 系统架构, 软件架构, Machine Learning 方法, 人工神经网络
状态：新状态：免费试用AI CERTs
您将获得的技能: Responsible AI, Tensorflow, Data Ethics, PyTorch (Machine Learning Library), Internet Of Things, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Telecommunications, Artificial Intelligence, Emerging Technologies, Generative AI, Wireless Networks, Generative AI Agents, Network Performance Management, Network Architecture, Digital Communications, Network Protocols, Computer Networking, System Design and Implementation, Communication
状态：免费试用Duke University
您将获得的技能: 拥抱的脸, 机器学习, 模型部署, 集装箱化, Pandas（Python 软件包）, 数据操作, GitHub, 数据分析, 负责任的人工智能, 大数据, 云部署, 数据管理, Data Management, Devops, 微软 Azure, MLOps（机器学习 Operator）, 探索性数据分析, NumPy, 云计算, AWS SageMaker, Python 程序设计
总之，以下是 10 最受欢迎的 prompt engineering 课程
- Advanced Prompt Engineering and Memory Management: Packt
- IBM RAG and Agentic AI: IBM
- Google Advanced Data Analytics: Google
- 光学工程: University of Colorado Boulder
- Increase SEO Traffic with WordPress: Coursera
- Build a Full Website using WordPress: Coursera
- 计算机结构: Princeton University
- SAS Machine Learning Engineer: SAS
- Microsoft Sales Toolkit with Generative AI: Microsoft
- 自动驾驶汽车: University of Toronto
