筛选依据
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
“llm 申请” 的结果
状态：免费试用Duke University
您将获得的技能: MLOps（机器学习 Operator）, 多模式 Prompt, 大型语言模型, LLM 申请, 可扩展性, 阿帕奇气流, 数据湖, 工作流程管理, Prompt Engineering, 数据库, 数据库管理系统, 生成模型架构, ChatGPT, 性能分析, 生成式人工智能, 亚马逊基岩, 摘录, AWS SageMaker, OpenAI, 性能调整
状态：新状态：免费试用您将获得的技能: Prompt Engineering, Large Language Modeling, LLM Application, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI, Generative Model Architectures, Multimodal Prompts, Generative AI, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Cost Management, Deep Learning, Application Deployment, Artificial Intelligence, Case Studies, Reinforcement Learning, Machine Learning
状态：新状态：免费试用Coursera Instructor Network
您将获得的技能: Prompt Engineering, LLM Application, Large Language Modeling, Responsible AI, LangChain, Generative Model Architectures, Generative AI, Application Deployment, Application Development, Technical Management, Trend Analysis, Program Evaluation, Artificial Intelligence, Real Time Data, Applied Machine Learning, Data Ethics, Analytics, OpenAI, Business Strategy, Python Programming
状态：新状态：免费试用您将获得的技能: LangChain, LLM Application, Large Language Modeling, Generative AI, Tool Calling, ChatGPT, Generative AI Agents, Responsible AI, OpenAI, Prompt Engineering, PyTorch (Machine Learning Library), Tensorflow, Semantic Web, Natural Language Processing, Artificial Intelligence, Application Development, Analytical Skills, Application Programming Interface (API), Supervised Learning, Computer Programming Tools
状态：免费试用您将获得的技能: Prompt Engineering, 生成式人工智能, ChatGPT, 图像质量, 提示模式
状态：新状态：免费试用您将获得的技能: LangChain, Prompt Engineering, LLM Application, LangGraph, Generative AI Agents, Agentic systems, Large Language Modeling, OpenAI, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, Artificial Intelligence, AI Personalization, Responsible AI, Tool Calling, Text Mining, Query Languages, User Interface (UI), Application Development, Natural Language Processing
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, PyTorch (Machine Learning Library), Generative AI Agents, Natural Language Processing, Data Pipelines, Artificial Intelligence, Text Mining, Data Ethics, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies
状态：免费试用您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, Deep Learning, Unsupervised Learning, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Supervised Learning, Image Analysis, Machine Learning, Text Mining, Computer Vision, Data Processing, Artificial Intelligence, Scatter Plots, Data Visualization Software, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML)
状态：免费试用您将获得的技能: 机器学习, 人工智能和机器学习（AI/ML）, ChatGPT, 生成式人工智能, 负责任的人工智能
状态：免费试用您将获得的技能: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, Tensorflow, ChatGPT, OpenAI, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Prompt Engineering, Applied Machine Learning, Machine Learning, Deep Learning, Machine Learning Algorithms, Computer Vision, Predictive Modeling, Supervised Learning, Text Mining, Image Analysis
状态：免费试用您将获得的技能: PyTorch（机器学习库）, 人工智能, 大型语言模型, 文本挖掘, Prompt Engineering, 数据处理, 数据管道, 生成式人工智能, 自然语言处理, 深度学习
状态：新状态：免费试用您将获得的技能: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, OpenAI, Multimodal Prompts, Responsible AI, Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, Image Analysis, Application Deployment
总之，以下是 10 最受欢迎的 llm 申请 课程
- Large Language Model Operations (LLMOps): Duke University
- Quick Start Guide to Large Language Models (LLMs): Pearson
- Harnessing LLMs: Strategy, Fine-Tuning & Evaluation: Coursera Instructor Network
- LLM Application Engineering and Development Certification: Simplilearn
- 生成式人工智能：提示工程基础知识: IBM
- Langchain and Langgraph: Packt
- Generative AI Engineering with LLMs: IBM
- Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
- 生成式人工智能：介绍与应用: IBM
- Learn Generative AI with LLMs: Edureka
