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  • Mlops

MLOps 课程

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。


热门 MLOps 课程和认证


  • P

    Packt

    AI Engineer Professional

    您将获得的技能: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming

    高级设置 · 专项课程 · 1-3 个月

  • 状态:热门新品
    热门新品
    M

    Microsoft

    Microsoft Generative AI Engineering

    您将获得的技能: Generative AI, Responsible AI, Generative Model Architectures, Prompt Engineering, Multimodal Prompts, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Data Ethics, AI Orchestration, AI Workflows, Model Deployment, Azure DevOps, Microsoft Azure, ChatGPT, AI Security, AI Enablement, Model Evaluation, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

    4.6
    评分, 4.6 星,最高 5 星
    ·
    7 条评论

    中级 · 专业证书 · 3-6 个月

  • C

    Coursera

    Deploy & Optimize ML Services Confidently

    您将获得的技能: MLOps (Machine Learning Operations), Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), DevOps, Service Level Agreement, API Design, Performance Measurement, Performance Analysis

    中级 · 课程 · 1-4 周

  • C

    Coursera

    Agentic AI Performance & Reliability

    您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control

    中级 · 专项课程 · 3-6 个月

  • C

    Coursera

    Automate, Optimize, and Monitor ML Models

    您将获得的技能: Verification And Validation, Data Pipelines

    中级 · 课程 · 1-4 周

  • W

    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Associate

    您将获得的技能: MLOps (Machine Learning Operations), Feature Engineering, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Deployment, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    3.9
    评分, 3.9 星,最高 5 星
    ·
    10 条评论

    中级 · 专项课程 · 3-6 个月

  • C

    Coursera

    Deploying and Maintaining Production AI Systems

    您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Generative AI, Dependency Analysis, Dashboard, Application Deployment, Continuous Deployment, System Monitoring, Responsible AI, Performance Tuning, Site Reliability Engineering, Release Management, Kubernetes, Application Performance Management, CI/CD, Performance Analysis, Continuous Monitoring, Automation, Cloud Platforms, Data-Driven Decision-Making

    中级 · 课程 · 3-6 个月

  • W

    Whizlabs

    Fundamentals of Machine Learning

    您将获得的技能: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, AWS SageMaker, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Azure DevOps, Model Deployment, Microsoft Azure, Amazon Web Services, Deep Learning, Data Processing

    中级 · 课程 · 1-3 个月

  • P

    Packt

    Azure ML Bootcamp: Machine Learning on the Cloud

    您将获得的技能: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning

    中级 · 专项课程 · 1-3 个月

  • L

    LearnKartS

    AWS AI Practitioner Certification Prep

    您将获得的技能: Prompt Engineering, Responsible AI, Prompt Engineering Tools, Computer Vision, Machine Learning Algorithms, Data Wrangling, Deep Learning, Artificial Intelligence, Cloud Security, Amazon Elastic Compute Cloud, Embeddings, Model Deployment, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Data Security, Amazon S3, Data Governance, Governance, Encryption, Public Cloud

    4.4
    评分, 4.4 星,最高 5 星
    ·
    11 条评论

    初级 · 专项课程 · 1-3 个月

  • K

    KodeKloud

    Data Engineering Essentials

    您将获得的技能: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Big Data, Data Preprocessing, Feature Engineering, Model Deployment, CI/CD, Pandas (Python Package), Data Transformation

    初级 · 课程 · 1-4 周

  • K

    KodeKloud

    ML Model Development and Tracking: Hands-on Guide

    您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware

    初级 · 课程 · 1-4 周

与 mlops 相关的搜索

mlops | machine learning operations
mlops specialization
mlops (machine learning operations)
mlops platforms: amazon sagemaker and azure ml
mlops aws
mlops | machine learning operations specialization
mlops tools: mlflow and hugging face
mlops azure
1…456…34

总之,以下是 10 最受欢迎的 mlops 课程

  • AI Engineer Professional: Packt
  • Microsoft Generative AI Engineering: Microsoft
  • Deploy & Optimize ML Services Confidently: Coursera
  • Agentic AI Performance & Reliability: Coursera
  • Automate, Optimize, and Monitor ML Models: Coursera
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Associate: Whizlabs
  • Deploying and Maintaining Production AI Systems: Coursera
  • Fundamentals of Machine Learning: Whizlabs
  • Azure ML Bootcamp: Machine Learning on the Cloud: Packt
  • AWS AI Practitioner Certification Prep: LearnKartS

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