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  • Mlops Machine Learning Operations

Results for "mlops (machine learning operations)"


  • C

    Coursera

    Machine Learning Made Easy for Software Engineers

    Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Model Optimization, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • D

    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, Docker (Software), Microsoft Azure, Continuous Deployment, Cloud Computing, Machine Learning Software, GitHub

    3.8 stars, 69 reviews, Advanced, Course, 1 - 4 Weeks

    ★ 3.8 (69) · Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Develop Production-Ready ML APIs with MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), AI Workflows, API Design, CI/CD, Software Quality Assurance, Code Review, Maintainability

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • C

    Coursera

    Agentic AI Performance & Reliability

    Skills you'll gain: 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

    Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Data Engineering, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, Python Programming

    3.6 stars, 60 reviews, Advanced, Course, 1 - 3 Months

    ★ 3.6 (60) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Model Training, Data Quality, Model Deployment, Data Preprocessing, Application Lifecycle Management, Technical Management, Applied Machine Learning, Project Management, Machine Learning, Data Cleansing, Model Evaluation, Data Pipelines, Technical Design, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science

    4.8 stars, 405 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.8 (405) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文

    Skills you'll gain: Model Evaluation, Model Optimization, Generative AI, Continuous Monitoring, Google Cloud Platform, Model Deployment, MLOps (Machine Learning Operations), Machine Learning Methods, Large Language Modeling, Responsible AI, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    ML Production Systems

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Continuous Integration, Software Testing, Model Training, CI/CD, Scalability, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)

    Intermediate · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • U

    University of Washington

    Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Machine Learning, Model Training, Logistic Regression, Data Mining

    4.6 stars, 16K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.6 (16K) · Intermediate · Specialization · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版

    Skills you'll gain: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Model Optimization, Google Cloud Platform, Responsible AI, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, AI Workflows, Model Training, Devops Tools, Model Evaluation, Cloud Deployment, Automation, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, Cloud Deployment, Cloud Management, DevOps, Continuous Deployment, Model Evaluation, AI Workflows, Automation, Continuous Delivery, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
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In summary, here are 10 of our most popular mlops (machine learning operations) courses

  • Machine Learning Made Easy for Software Engineers: Coursera
  • MLOps Tools: MLflow and Hugging Face: Duke University
  • Develop Production-Ready ML APIs with MLOps: Coursera
  • Agentic AI Performance & Reliability: Coursera
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Managing Machine Learning Projects: Duke University
  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
  • ML Production Systems: Coursera
  • Machine Learning: University of Washington
  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版: Google Cloud

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