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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
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教师必需的
“llm 申请” 的结果
您将获得的技能: ChatGPT, LLM Application, OpenAI, Tool Calling, Large Language Modeling, Prompt Engineering, Application Deployment, Application Programming Interface (API), Python Programming, Software Installation, Open Source Technology, Development Environment, Real Time Data, Data Science
- 状态:免费
DeepLearning.AI
您将获得的技能: Prompt Engineering, LLM 申请, 生成式 AI 代理, 大型语言模型, LangChain, OpenAI, LangGraph
- 状态:免费试用
您将获得的技能: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, Prompt Patterns, LangChain, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Keras (Neural Network Library), Data Transformation, Flask (Web Framework), Supervised Learning, Data Analysis, Data Cleansing, Data Manipulation, Responsible AI, LLM Application, Data Import/Export
- 状态:预览
Google Cloud
您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, Application Development
Google Cloud
您将获得的技能: Prompt Engineering, Large Language Modeling, Prompt Patterns, Generative AI, LLM Application
- 状态:免费试用
Duke University
您将获得的技能: 无服务器计算, MLOps(机器学习 Operator), 持续监测, 云计算, 负责任的人工智能, 应用程序部署, 数据伦理, 生成式人工智能, AWS SageMaker, 大型语言模型, 安全 Code, 亚马逊网络服务, 亚马逊基岩
- 状态:免费试用
Google Cloud
您将获得的技能: Responsible AI, LLM Application, Prompt Patterns, Generative Model Architectures, Regulatory Compliance, AI Product Strategy, Organizational Structure, Stakeholder Management, Deep Learning, Natural Language Processing
- 状态:预览
Google Cloud
您将获得的技能: Large Language Modeling, Prompt Engineering, Prompt Patterns, Generative AI, LLM Application, Generative Model Architectures
- 状态:免费试用
您将获得的技能: Prompt Engineering, Data Visualization, Large Language Modeling, Text Mining, Scatter Plots, Data Visualization Software, Unstructured Data, Histogram, Data Analysis, Natural Language Processing
- 状态:预览
Google Cloud
您将获得的技能: LLM Application, Prompt Engineering, Large Language Modeling, Prompt Patterns, Google Gemini, Generative AI
- 状态:新状态:免费试用
您将获得的技能: LangChain, LLM Application, Large Language Modeling, Tool Calling, Generative AI, Generative AI Agents, Prompt Engineering, Unstructured Data, Semantic Web, Data Structures
- 状态:免费试用
Duke University
您将获得的技能: 微软 Azure, MLOps(机器学习 Operator), 云计算, 应用编程接口 (API), 负责任的人工智能, 应用程序部署, LLM 申请, Prompt Engineering, Python 程序设计, 可扩展性, 大型语言模型, OpenAI
总之,以下是 10 最受欢迎的 llm 申请 课程
- Harnessing Open Source LLMs and ChatGPT with Minimal Code: Packt
- LangGraph 中的 AI 代理: DeepLearning.AI
- IBM Generative AI Engineering: IBM
- Introduction to Large Language Models - 한국어: Google Cloud
- Introduction to Large Language Models - Deutsch: Google Cloud
- AWS 上的 GenAI 和 LLMs: Duke University
- Introduction to Generative AI Learning Path: Google Cloud
- Introduction to Large Language Models - 日本語版: Google Cloud
- NVIDIA: Prompt Engineering and Data Analysis: Whizlabs
- Introduction to Large Language Models - 简体中文: Google Cloud