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.
38credentials
2online degrees
170courses

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Results for "mlops (machine learning operations)"

  • Status: New
    Status: Free Trial

    Skills you'll gain: Responsible AI, Incident Response, Application Security, Security Engineering, Threat Modeling, Cybersecurity, MLOps (Machine Learning Operations), Security Controls, Information Systems Security, Artificial Intelligence and Machine Learning (AI/ML), Security Strategy, Continuous Monitoring, Identity and Access Management, Cloud Security, Vulnerability Assessments, Hardening, Threat Detection, Artificial Intelligence, Penetration Testing, Machine Learning

  • Status: New
    Status: Free Trial

    Edureka

    Skills you'll gain: Responsible AI, Incident Response, Data Ethics, Generative AI, LLM Application, Application Security, Large Language Modeling, Security Engineering, Threat Modeling, Cybersecurity, Security Controls, IT Security Architecture, Information Systems Security, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Security Management, MLOps (Machine Learning Operations), Agentic systems, Ethical Standards And Conduct

  • Status: Preview

    Fractal Analytics

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Generative AI, Google Cloud Platform, Artificial Intelligence, Machine Learning, User Interface (UI), Cloud Computing, Complex Problem Solving, Critical Thinking

  • Status: New
    Status: Free Trial

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Cloud Development, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning, Statistical Analysis, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Supervised Learning, Dimensionality Reduction, Regression Analysis

  • Status: Free Trial

    Duke University

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Applied Machine Learning, Project Management, Product Management, Product Design, Data Science

  • Status: New
    Status: Free Trial

    Skills you'll gain: Responsible AI, Statistical Modeling, Microsoft Azure, MLOps (Machine Learning Operations), Prompt Engineering, Data Management, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Statistics, Cloud Computing, Application Deployment, Azure Synapse Analytics, Large Language Modeling, Data Pipelines, Generative AI, Data Processing, Machine Learning, Applied Machine Learning, Scalability, Continuous Monitoring

  • Status: Free Trial

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Keras (Neural Network Library), Feature Engineering, Mobile Development, Data Integration, Data Transformation, Deep Learning, Javascript, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Cloud Computing, Machine Learning, Data Cleansing, Python Programming, Data Transformation, Application Programming Interface (API)

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Generative AI, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Software Visualization, Artificial Neural Networks, Computer Vision, Dimensionality Reduction

  • Status: New

    Skills you'll gain: MLOps (Machine Learning Operations), Tensorflow, Google Cloud Platform, Systems Design, Applied Machine Learning, Machine Learning, Systems Architecture, Data Validation, Technical Design, Performance Tuning, Distributed Computing, Scalability, Data Pipelines, Debugging

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