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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。


更多精彩内容:

热门 MLOps 课程和认证


  • C

    Coursera

    Secure AI Interpret and Protect Models

    您将获得的技能: AI Security, Threat Modeling, Security Engineering, Security Testing, Hardening, Security Controls, Security Strategy, Penetration Testing, Data Validation, Model Evaluation, Information Privacy, Generative Adversarial Networks (GANs), Analysis, Design

    中级 · 课程 · 1-4 周

  • P

    Packt

    RAG-Driven Generative AI

    您将获得的技能: Generative AI, OpenAI, Data Pipelines, Data Preprocessing, Deep Learning, Scalability, Artificial Intelligence, Model Evaluation, Natural Language Processing, Machine Learning, Data Science

    高级设置 · 课程 · 1-3 个月

  • P

    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    您将获得的技能: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    中级 · 课程 · 1-4 周

  • C

    Coursera

    Strategic AI Governance

    您将获得的技能: Responsible AI, Threat Modeling, MLOps (Machine Learning Operations), Security Testing, Secure Coding, Cost Management, Data Ethics, Data Governance, Experimentation, Prompt Engineering, Application Security, CI/CD, Automation, Financial Forecasting, Compliance Management, Governance, Technical Documentation, Vulnerability Assessments, Risk Management, Stakeholder Communications

    中级 · 专项课程 · 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

  • D

    Duke University

    用于大型语言模型运行 (LLMOps) 的 Rust

    您将获得的技能: 生成式人工智能, 自然语言处理, PyTorch(机器学习库), 拉斯特(编程语言), AWS SageMaker, 云部署, DevOps, 模型部署, MLOps(机器学习运营), 机器学习, CI/CD, 应用机器学习, 大型语言建模, 法学硕士申请, 拥抱的脸, 基础设施即代码(IaC)

    4.2
    评分, 4.2 星,最高 5 星
    ·
    13 条评论

    中级 · 课程 · 1-4 周

  • E

    Edureka

    Building LLMs with Hugging Face and LangChain

    您将获得的技能: LangChain, LLM Application, Hugging Face, Retrieval-Augmented Generation, OpenAI API, LangGraph, Model Deployment, AI Workflows, Large Language Modeling, AI Orchestration, Generative AI, Generative Model Architectures, CI/CD, Embeddings, Text Mining, Containerization, Restful API, Open Source Technology, Data Preprocessing, Docker (Software)

    1.8
    评分, 1.8 星,最高 5 星
    ·
    6 条评论

    中级 · 专项课程 · 1-3 个月

  • 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

    Managing AI Projects That Ship and Scale

    您将获得的技能: Milestones (Project Management), Acceptance Testing, CI/CD, Scope Management, MLOps (Machine Learning Operations), Feature Engineering, Governance Risk Management and Compliance, Capacity Management, Responsible AI, Smart Goals, Project Risk Management, Compliance Management, Stakeholder Communications, Data Governance, Risk Analysis, Model Evaluation, Applied Machine Learning, Project Planning, Risk Management, Mitigation

    中级 · 专项课程 · 3-6 个月

  • C

    Coursera

    Building Trustworthy AI

    您将获得的技能: AI Security, Responsible AI, Threat Modeling, DevSecOps, Governance Risk Management and Compliance, Compliance Management, Data Ethics, Data Governance, Model Evaluation, Reinforcement Learning, Risk Management, Prompt Engineering, Governance, Regulatory Compliance, Security Testing, MLOps (Machine Learning Operations), MITRE ATT&CK Framework, Continuous Monitoring, Ethical Standards And Conduct, Vulnerability Assessments

    3.5
    评分, 3.5 星,最高 5 星
    ·
    11 条评论

    中级 · 专项课程 · 3-6 个月

  • C

    Coursera

    Track and Evaluate ML Model Experiments

    您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Version Control, Large Language Modeling, Git (Version Control System), Data Management, Performance Testing, Dashboard, Machine Learning, Scripting, Performance Analysis, Technical Documentation

    中级 · 课程 · 1-4 周

1…789…35

总之,以下是 10 最受欢迎的 mlops 课程

  • Secure AI Interpret and Protect Models: Coursera
  • RAG-Driven Generative AI: Packt
  • Machine Learning with Databricks and MLflow: Pragmatic AI Labs
  • Strategic AI Governance: Coursera
  • Fundamentals of Machine Learning: Whizlabs
  • Azure ML Bootcamp: Machine Learning on the Cloud: Packt
  • 用于大型语言模型运行 (LLMOps) 的 Rust: Duke University
  • Building LLMs with Hugging Face and LangChain: Edureka
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Associate: Whizlabs
  • Managing AI Projects That Ship and Scale: Coursera

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