MLOps 课程可以帮助您学习机器学习项目的部署策略、模型监控以及持续集成和交付。您可以掌握自动化工作流、管理数据管道和确保符合治理标准的技能。许多课程介绍了 TensorFlow、Kubernetes 和 MLflow 等工具,这些工具支持操作 AI Model 并简化数据科学家和 IT 团队之间的协作。

Coursera
您将获得的技能: LangGraph, AI Orchestration, LangChain, LLM Application, Agentic Workflows, Generative AI Agents, MLOps (Machine Learning Operations), Context Management, Distributed Computing, Software Design Patterns
中级 · 课程 · 1-4 周
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Containerization, Performance Tuning, Docker (Software), Java, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures
高级设置 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Data Infrastructure, Model Deployment, Data Processing, Data Pipelines
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 持续监测, 模型评估, 数据预处理, MLOps(机器学习 Operator), 云部署, 调试, 持续部署, 数据质量, 功能工程, 模型部署, 应用机器学习, Data Validation, 数据管道, 机器学习
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Model Evaluation, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Decision Making, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms, Regulatory Requirements
中级 · 课程 · 1-4 周
您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning
高级设置 · 专业证书 · 3-6 个月

您将获得的技能: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, Prompt Engineering, ChatGPT, AI Enablement, AI Security, Cloud Development, AI Workflows, Data Ethics, Real Time Data, Large Language Modeling, Model Deployment, Cloud Computing Architecture, Artificial Intelligence, MLOps (Machine Learning Operations), Deep Learning, Scalability, System Monitoring
初级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: 数据预处理, 张力流, 数据建模, 数据存储, Keras(神经网络库), MLOps(机器学习 Operator), 功能工程, 数据转换, 机器学习, 数据管道, 实时数据, 数据处理
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
高级设置 · 专项课程 · 3-6 个月
初级 · 专项课程

您将获得的技能: AI Orchestration, Model Deployment, AI Workflows, Agentic Workflows, Generative AI Agents, Agentic systems, AI Security, Artificial Intelligence, Prompt Engineering, Generative AI, Product Support, OpenAI API, Retrieval-Augmented Generation
高级设置 · 课程 · 1-4 周