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
169courses

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Results for "mlops (machine learning operations)"

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Jupyter, Artificial Neural Networks, Data Processing, Performance Tuning, Data Transformation

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Machine Learning, Applied Machine Learning, Data Cleansing, Supervised Learning, Data Strategy, MLOps (Machine Learning Operations), Machine Learning Algorithms, Data Processing, Dataflow, Data Pipelines, Data Analysis, Artificial Neural Networks, Deep Learning

  • Status: Free

    Skills you'll gain: Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Feasibility Studies, System Requirements, Solution Design

  • Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, Large Language Modeling, Machine Learning, Continuous Monitoring

  • Status: Preview

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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture

  • Skills you'll gain: Generative AI, Continuous Monitoring, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Data Validation, Machine Learning, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Quality

  • Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Statistical Methods, Google Cloud Platform, Verification And Validation, Performance Testing, Machine Learning, Responsible AI

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Application Deployment, Machine Learning, Applied Machine Learning, Continuous Integration, Automation, Data Management

  • Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Statistical Methods, Responsible AI, Predictive Modeling, Google Cloud Platform, Machine Learning, Natural Language Processing

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Responsible AI, Verification And Validation, Machine Learning

  • Status: Free Trial

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework), Automation

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