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找到最适合您目标的 GenAI 课程
状态：新状态：免费试用您将获得的技能: Prompt Engineering, LangChain, Tool Calling, LangGraph, Agentic systems, Multimodal Prompts, Generative AI, LLM Application, Generative AI Agents, Responsible AI, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Development, Large Language Modeling, UI Components, Semantic Web, Databases, Data Storage Technologies, Software Development
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：免费试用您将获得的技能: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Large Language Modeling, Responsible AI, AI Personalization, Mobile Development, Anthropic Claude, Artificial Intelligence, LLM Application, Software Development Tools, Software Testing, Apple iOS, AI Product Strategy, Test Automation, Software Development, Machine Learning Methods, DevSecOps, Artificial Intelligence and Machine Learning (AI/ML)
状态：免费试用Duke University
您将获得的技能: 数据管道, Python 程序设计, MLOps（机器学习 Operator）, 云计算, GitHub, Pandas（Python 软件包）, 数据操作, 应用程序部署, CI/CD, 探索性数据分析, AWS SageMaker, 数据管理, Data Management, 负责任的人工智能, Devops, 大数据, 微软 Azure, 机器学习, 数据分析, NumPy, 集装箱化
状态：免费试用Google Cloud
您将获得的技能: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, AI Personalization, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 监督学习, 预测建模, 图论, 人工智能和机器学习（AI/ML）, 健康信息学, 计算机视觉, 医疗保健, 应用机器学习, 人工神经网络, 医学科学与研究, 计划发展, 大数据, 生成模型架构, PyTorch（机器学习库）, Machine Learning 方法, 机器学习, 张力流, 无监督学习, 图像分析, 深度学习
是什么让您今天来到 Coursera？
状态：免费试用Imperial College London
您将获得的技能: 创新, 可持续设计, 创造性思维, 人工智能, 创造力, 原型设计, 批判性思维, 集思广益, 构思, 认知灵活性, 设计思维
状态：免费试用L&T EduTech
您将获得的技能: Oil and Gas, Petroleum Industry, Hazard Analysis, Safety Standards, Environmental Resource Management, Energy and Utilities, Environmental Regulations, Environment Health And Safety, Big Data, Plant Operations and Management, Waste Minimization, Process Engineering, Chemical Engineering, Risk Analysis, Environmental Engineering, Failure Mode And Effects Analysis, Data Management, Pump Stations, Data Processing, Process Control
Google Cloud
您将获得的技能: 大型语言模型, 自然语言处理, 人工神经网络, 生成模型架构
状态：免费试用您将获得的技能: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming
状态：免费试用Google
您将获得的技能: Object Oriented Programming (OOP), Data Structures, Python Programming, NumPy, Pandas (Python Package), Data Analysis, Scripting, Data Manipulation, Data Visualization, Algorithms, Debugging
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Open Web Application Security Project (OWASP), Cyber Security Assessment, Exploitation techniques, Server Side, Application Security, Artificial Intelligence and Machine Learning (AI/ML), Vulnerability Scanning, Responsible AI, Data Security, Cyber Attacks, Security Awareness, Generative AI, Large Language Modeling, Personally Identifiable Information, Business Logic
总之，以下是 10 最受欢迎的 generative ai 课程
- IBM RAG and Agentic AI: IBM
- Generative AI, LLMs, and Advanced Applications with Python: Packt
- Generative AI for Mobile App Developers: IBM
- MLOps | 机器学习运营: Duke University
- Advanced Machine Learning on Google Cloud: Google Cloud
- 医疗保健领域的深度学习: University of Illinois Urbana-Champaign
- 高级创新思维与人工智能：成功的工具: Imperial College London
- Petroleum Engineering with AI Applications: L&T EduTech
- 变压器模型和 BERT 模型: Google Cloud
- IBM AI Enterprise Workflow: IBM
