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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


  • C

    Coursera

    Master Java Build Tools for ML Projects

    您将获得的技能: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Apache Maven, MLOps (Machine Learning Operations), Package and Software Management, Dependency Analysis

    高级设置 · 课程 · 1-4 周

  • C

    Coursera

    Choose Optimal Data Structures for ML

    您将获得的技能: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Performance Testing, Tree Maps, Benchmarking, Graph Theory, Program Implementation

    高级设置 · 课程 · 1-4 周

  • W

    Whizlabs

    Machine Learning Implementation and Operations in AWS

    您将获得的技能: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Amazon Elastic Compute Cloud, Cloud Security, Data Management, Disaster Recovery, Continuous Monitoring

    4.3
    评分, 4.3 星,最高 5 星
    ·
    7 条评论

    初级 · 课程 · 1-4 周

  • T

    Technical University of Munich (TUM)

    From Zero to Hero - Digital Product Development From Scratch

    您将获得的技能: Prompt Engineering, Amazon Bedrock, MLOps (Machine Learning Operations), Innovation, Design Thinking, Generative AI, Ideation, Amazon Web Services, Lean Methodologies, Model Evaluation, Product Development, User Experience Design, New Product Development, Agile Product Development, Machine Learning, User Research

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

    初级 · 课程 · 1-3 个月

  • C

    Coursera

    Partition & Monitor AI Models Effectively

    您将获得的技能: MLOps (Machine Learning Operations), Data Integrity, Data Quality, Data Maintenance, System Monitoring, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence

    中级 · 课程 · 1-4 周

  • W

    Whizlabs

    Azure AI & ML: Optimize Language Models for AI Applications

    您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Cloud Deployment, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, AI Workflows, Data Pipelines, Continuous Monitoring, Performance Tuning, Scalability

    中级 · 课程 · 1-4 周

  • C

    Coursera

    Engineer Features and Evaluate Models for Production

    您将获得的技能: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation

    中级 · 课程 · 1-4 周

  • B

    Board Infinity

    Java in Machine Learning

    您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning

    中级 · 专项课程 · 1-3 个月

  • C

    Coursera

    Automate, Validate, and Promote ML Models Safely

    您将获得的技能: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis

    中级 · 课程 · 1-4 周

  • P

    Pearson

    Introduction to Transformer Models for NLP: Unit 3

    您将获得的技能: Vision Transformer (ViT), Model Deployment, Transfer Learning, Hugging Face, MLOps (Machine Learning Operations), Cloud Deployment, Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment

    中级 · 课程 · 1-4 周

  • M

    Microsoft

    Machine Learning and AI Applications in Healthcare

    您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Machine Learning, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Model Evaluation, Health Informatics, Artificial Intelligence, Applied Machine Learning, Data Preprocessing, Computer Vision, Feature Engineering

    中级 · 课程 · 1-4 周

  • E

    Edureka

    AI-Powered Decision Intelligence

    您将获得的技能: Responsible AI, Data Storytelling, AI Workflows, Data Presentation, AI Enablement, Predictive Modeling, Decision Support Systems, Strategic Decision-Making, Data-Driven Decision-Making, Business Intelligence, Decision Making, Business Analytics, Agentic systems, MLOps (Machine Learning Operations), Forecasting, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Data Security, Text Mining

    中级 · 专项课程 · 1-3 个月

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…91011…35

总之,以下是 10 最受欢迎的 mlops 课程

  • Master Java Build Tools for ML Projects: Coursera
  • Choose Optimal Data Structures for ML: Coursera
  • Machine Learning Implementation and Operations in AWS: Whizlabs
  • From Zero to Hero - Digital Product Development From Scratch: Technical University of Munich (TUM)
  • Partition & Monitor AI Models Effectively: Coursera
  • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
  • Engineer Features and Evaluate Models for Production: Coursera
  • Java in Machine Learning: Board Infinity
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • Introduction to Transformer Models for NLP: Unit 3: Pearson

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