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
您将获得的技能: 数据管道, 大型语言模型, 人工智能, 数据处理, 文本挖掘, PyTorch(机器学习库), Prompt Engineering, 生成式人工智能, 深度学习, 自然语言处理
- 状态:免费试用
Microsoft
您将获得的技能: Unsupervised Learning, 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), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Application Deployment
- 状态:预览
DeepLearning.AI
您将获得的技能: 大型语言模型, 可扩展性, PyTorch(机器学习库), Python 程序设计, 生成式人工智能, 应用机器学习, 强化学习, 自然语言处理, 负责任的人工智能, 机器学习, Prompt Engineering, 性能调整
- 状态:新
Google Cloud
您将获得的技能: LLM Application, Large Language Modeling, Open Web Application Security Project (OWASP), Cloud Security, Application Security, Security Controls, Security Software, Prompt Engineering, Data Security, Cloud API, Integration Testing, API Design, System Configuration, Configuration Management
- 状态:新状态:免费试用
您将获得的技能: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Prompt Patterns, Applied Machine Learning, Prompt Engineering, Deep Learning, Application Programming Interface (API), Natural Language Processing, Machine Learning Algorithms
- 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
- 状态:免费试用
Coursera Instructor Network
您将获得的技能: LLM Application, Large Language Modeling, Prompt Engineering, Applied Machine Learning, Generative Model Architectures, Machine Learning Methods
- 状态:新状态:免费试用
您将获得的技能: Responsible AI, Data Ethics, Threat Modeling, LLM Application, Generative AI, Google Gemini, Artificial Intelligence, Cloud Security, Governance Risk Management and Compliance, Cyber Security Strategy, Security Strategy, Artificial Intelligence and Machine Learning (AI/ML), Computer Security Awareness Training, Network Security, Security Management, Cyber Attacks, Cyber Security Policies, Natural Language Processing, Risk Management, Supply Chain
- 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, Restful API, Keras (Neural Network Library), Data Transformation, Supervised Learning, Flask (Web Framework), Data Analysis, Data Cleansing, Data Manipulation, LLM Application, Data Import/Export
- 状态:免费试用
Google Cloud
您将获得的技能: 大型语言模型, 生成模型架构, Prompt Engineering, 生成式人工智能, 提示模式, LLM 申请
- 状态:免费试用
IBM
您将获得的技能: 市场机遇, 云计算, 数据科学, 商务, 云平台, 云安全, 云存储, 数据扫盲, LLM 申请, 新兴技术, 云服务, 生成式人工智能, 大数据, 数据挖掘, 云基础设施, 混合云计算, 自然语言处理, 数据分析, 云计算架构, 负责任的人工智能
- 状态:免费试用
Coursera Instructor Network
您将获得的技能: 大型语言模型, 实时数据, 企业战略, 分析, 趋势分析, 市场趋势, 人工智能和机器学习(AI/ML), MarTech, 计划发展, ChatGPT, 改善客户体验, 技术路线图, 人工神经网络, 商业营销, 内容营销, 生成式人工智能, LLM 申请, OpenAI
总之,以下是 10 最受欢迎的 llm 申请 课程
- 生成式人工智能和 LLM:架构和数据准备: IBM
- Microsoft AI & ML Engineering: Microsoft
- 采用大型语言模型的生成式 AI: DeepLearning.AI
- Model Armor:保護您部署的 AI 應用程式: Google Cloud
- Generative AI, LLMs, and Advanced Applications with Python: Packt
- Generative AI and Large Language Models: Coursera
- Selecting the Right LLM with Hugging Face: Coursera Instructor Network
- Generative AI and LLM Security : Edureka
- IBM Generative AI Engineering: IBM
- 大型语言模型介绍: Google Cloud