神经语言程序设计课程
神经语言程序设计课程可以帮助你学习有效的沟通技巧、行为模型和个人发展策略。你可以培养建立融洽关系、设定目标和克服限制性信念的技能。许多课程都会介绍可视化练习、语言模式和锚定技术等工具，用于提高个人效率和在各种情况下的影响力。
热门神经语言程序设计课程和认证
状态：新状态：免费试用您将获得的技能: Retrieval-Augmented Generation, Model Context Protocol, Agentic Workflows, Prompt Engineering, Anthropic Claude, AI Orchestration, Application Programming Interface (API), Prompt Patterns, Restful API, Prompt Engineering Tools, LLM Application, JSON, Generative AI Agents, Tool Calling, Generative AI, Artificial Intelligence, Agentic systems, Automation, Scalability, Servers
状态：新状态：免费试用您将获得的技能: Natural Language Processing, Large Language Modeling, Model Evaluation, Recurrent Neural Networks (RNNs), Classification Algorithms, Data Ethics, Responsible AI, Text Mining, Transfer Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Embeddings, Machine Learning, Data Analysis, Data Cleansing
Alfaisal University | KLD
您将获得的技能: Relationship Building, Interpersonal Communications, Self-Awareness, Social Skills, Persuasive Communication, Rapport Building, Active Listening, Emotional Intelligence, Communication, Personal Development
状态：免费试用Vanderbilt University
您将获得的技能: 人工智能, 数据展示, 信息管理, 自动化, AI 赋能, ChatGPT, Prompt Engineering, 文件管理, 数据分析, 解决问题, 创造力, 数据处理
状态：免费试用您将获得的技能: Classification Algorithms, Machine Learning Methods, Data Preprocessing, Model Evaluation, Embeddings
状态：免费试用Microsoft
您将获得的技能: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing
是什么让您今天来到 Coursera？
状态：免费试用University of London
您将获得的技能: Pseudocode, C++ (Programming Language), Object Oriented Programming (OOP), C and C++, File I/O, Object Oriented Design, Integrated Development Environments, Computer Programming, Development Environment, Programming Principles, Debugging, Data Structures, Program Development, Algorithms, Interactive Design, Model Evaluation, Software Engineering, Test Data, Data Validation, Unit Testing
状态：免费试用Johns Hopkins University
您将获得的技能: 可扩展性, C++（编程语言）, 事件驱动编程, 面向数据的编程, 数值分析, 计算机结构, C 和 C++, 深度学习, 计划发展, 人工神经网络, 卷积神经网络, 数字信号处理, 线性代数, 性能调整, 机器学习, 分布式计算, 编程原则, 系统编程, 计算机图形学, 图像分析
状态：免费试用Duke University
您将获得的技能: 计算机编程, 可维护性, C（编程语言）, 软件测试, 用户界面（UI）, 模拟, 计划发展, 调试, 解决问题, 软件设计, 解决方案设计, 开发环境, 文件输入/输出, 数据结构, Algorithm, 软件工程, 系统编程, 编程原则, 软件开发, 命令行界面
状态：免费试用Duke University
您将获得的技能: 统计分析, AI 个性化服务, 计算机编程, 数据导入/导出, 预测建模, Encryption, 事件驱动编程, 计划发展, 调试, Javascript, 数据分析, 层叠样式表（CSS）, 软件设计, 文件输入/输出, 集成开发环境, 软件工程, Algorithm, 图像分析, Java 编程, 数据处理
状态：免费试用Duke University
您将获得的技能: 无服务器计算, 计算机编程, 亚马逊网络服务, 数据管道, LLM 申请, 自然语言处理, 还原式 API, 生成式人工智能, 大型语言模型, Devops, 拥抱的脸, 测试案例, 云计算, Docker (软件), 集装箱化, 应用程序部署, 詹金斯, CI/CD, 拉斯特（编程语言）, 命令行界面
状态：免费试用University of Michigan
您将获得的技能: 计算机编程, 数据导入/导出, 统一模型语言, JSON, Python 程序设计, 数据操作, 还原式 API, 计划发展, 调试, Jupyter, 软件设计, 面向对象编程（OOP）, 网页抓取, 面向对象设计, 数据结构, 编程原则, 数据处理, 单元测试, 文件输入/输出, 图像分析
总之，以下是 10 最受欢迎的 neuro-linguistic programming 课程
- Mastering Claude AI: Prompting, APIs, RAG, and MCP: Edureka
- Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
- البرمجة اللغوية العصبية | NLP : Alfaisal University | KLD
- ChatGPT 高级数据分析: Vanderbilt University
- Natural Language Processing Essentials: Edureka
- Microsoft AI & ML Engineering: Microsoft
- Object Oriented Programming: University of London
- GPU 编程: Johns Hopkins University
- C 语言编程入门: Duke University
- Java 编程和软件工程基础: Duke University
