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.
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Results for "mlops (machine learning operations)"

  • Status: New
    Status: Free Trial

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines

  • Status: Free Trial

    Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Debugging, Artificial Intelligence, Computer Vision, Data-Driven Decision-Making, Performance Tuning

  • Skills you'll gain: Google Cloud Platform, Google Gemini, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Machine Learning, Predictive Modeling, Natural Language Processing

  • Status: Free Trial

    Skills you'll gain: Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Responsible AI, Performance Measurement, Predictive Modeling, Leadership and Management, Predictive Analytics, Data Processing, Fraud detection, Business Leadership, Business Transformation, Data-Driven Decision-Making, Business Priorities, Data Science

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Unstructured Data, Advanced Analytics, Predictive Modeling, Jupyter, Data Pipelines, Artificial Intelligence, Natural Language Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Computing, Application Deployment, Data Processing, Applied Machine Learning, Scalability, Continuous Deployment, Machine Learning, Performance Tuning

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Data Management, Google Cloud Platform, Data Pipelines, Predictive Modeling, Applied Machine Learning, Machine Learning, Performance Tuning, Continuous Monitoring

  • Status: New
    Status: Free Trial

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, Applied Machine Learning, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management, Continuous Monitoring, Enterprise Architecture

  • Status: Free Trial

    Alberta Machine Intelligence Institute

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Business Operations, Machine Learning, Ethical Standards And Conduct, Applied Machine Learning, Business Strategy, Data Maintenance, Risk Mitigation, Performance Metric, Systems Integration, Stakeholder Communications

  • Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Prototyping

  • Status: Free

    DeepLearning.AI

    Skills you'll gain: Responsible AI, LLM Application, Large Language Modeling, Google Cloud Platform, MLOps (Machine Learning Operations), Software Versioning, Supervised Learning

  • Status: Free Trial

    Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Modeling, Machine Learning Algorithms, Process Management

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