个结果，搜索词为 "federated learning"
DeepLearning.AI
您将获得的技能: Federated Learning, Fine-tuning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Model Optimization, Information Privacy, LLM Application, Model Training, Distributed Computing, Machine Learning
DeepLearning.AI
您将获得的技能: 卷积神经网络, 深度学习, 自然语言处理, 计算机视觉, 生成式人工智能, 人工智能和机器学习（AI/ML）, 拥抱的脸, 嵌入, 应用机器学习, 人工神经网络, 模型培训, 递归神经网络 (RNN), 大型语言建模, 模型优化, 微调, Transfer Learning, 监督学习, 图像分析, 迁移学习, 人工智能, 张力流
您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting
您将获得的技能: 摘录, 预测建模, 数据管道, Apache Hadoop, 模型部署, 生成式人工智能, 分类算法, 无监督学习, 机器学习, Model Evaluation, 数据处理, 监督学习, 回归分析, 数据转换, 模型评估, Apache Spark
Amazon Web Services
您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, AI literacy, Machine Learning, Digital Transformation
您将获得的技能: Model Optimization, Fine-tuning, Multimodal Prompts, Generative Model Architectures, PyTorch (Machine Learning Library), Model Training, Data Processing, Tensorflow, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks
是什么让您今天来到 Coursera？
您将获得的技能: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms
您将获得的技能: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Devops Tools, BeeAI, Docker (Software), Cloud Deployment, Agentic systems, Google Cloud Platform, Cloud Platforms, Kubernetes, Applied Machine Learning, Scalability
Duke University
您将获得的技能: Retrieval-Augmented Generation, LLM Application, Model Deployment, Prompt Patterns, Microsoft Azure, OpenAI API, Large Language Modeling, OpenAI, Application Deployment, Embeddings, Application Programming Interface (API), Scalability
您将获得的技能: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls
多位教师
您将获得的技能: 深度学习, 负责任的人工智能, 模型培训, Jupyter, 应用机器学习, 预测建模, 数据伦理, 分类算法, 无监督学习, Model Evaluation, Transfer Learning, 机器学习, 机器学习算法, 监督学习, 机器学习方法, NumPy, 迁移学习, 人工智能, Scikit Learn（机器学习库）, 模型评估, 张力流, 决策树学习
您将获得的技能: Model Deployment, Model Training, Deep Learning, PyTorch (Machine Learning Library), Scalability, Docker (Software), Application Deployment, Containerization, Model Evaluation, Artificial Neural Networks, Tensorflow, Configuration Management
总之，以下是 10 最受欢迎的 federated learning 课程
- Intro to Federated Learning: DeepLearning.AI
- 深度学习: DeepLearning.AI
- Machine Learning Operations (MLOps) on Google Cloud: Google Cloud
- 使用 Apache Spark 进行机器学习: IBM
- Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
- Fine-tune Multimodal Models with Transfer Learning: Coursera
- Machine Learning Pipelines with Azure ML Studio: Coursera
- AI Agents and MLOps for Production-Ready AI: Packt
- End to End LLMs with Azure: Duke University
- Databricks Machine Learning Quickstart: Coursera
