MLOps (Machine Learning Operations)

MLOps (Machine Learning Operations) is an engineering discipline that aims to unify machine learning system development and machine learning system operations. Coursera's MLOps catalogue teaches you how to streamline and regulate the process of deploying, testing, and improving machine learning models in production. You'll learn about essential elements of MLOps such as data and model versioning, model testing, monitoring, and validation, as well as robust strategies for deploying and maintaining ML models. By the end of your learning journey, you will be able to effectively manage the ML lifecycle, understand the role of automation in MLOps, and leverage best practices to bring data science and IT operations together.
42credentials
2online degrees
170courses

Results for "mlops (machine learning operations)"

  • Status: Free Trial

    Duke University

    Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    543 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    Status: Free Trial

    Packt

    Skills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Statistical Methods, Data Quality, Real Time Data, Resource Management

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    Status: Free Trial

    Coursera

    Skills you'll gain: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    Packt

    Skills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Resource Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, CI/CD, Machine Learning, Automation, Data Pipelines, Version Control

    4
    Rating, 4 out of 5 stars
    476 reviews

    Intermediate · Course · 1 - 4 Weeks

  • DeepLearning.AI

    Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    3.3K reviews

    Intermediate · Course · 1 - 4 Weeks

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  • Status: Free Trial

    Duke University

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.3
    Rating, 4.3 out of 5 stars
    318 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New

    LearnQuest

    Skills you'll gain: No-Code Development, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Analytics, Performance Measurement, Business Metrics, Responsible AI, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Data Ethics, Application Deployment, Business Continuity, Compliance Auditing, Performance Tuning, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Machine Learning Algorithms

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    147K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    Status: Free Trial

    Whizlabs

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, 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

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    Duke University

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Web Frameworks, Rust (Programming Language), Microsoft Copilot, DevOps, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Command-Line Interface, Big Data

    4.2
    Rating, 4.2 out of 5 stars
    202 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New

    Pearson

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks