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)"

  • Google Cloud

    Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: New

    Google Cloud

    Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Integrated Development Environments, Development Environment

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Infrastructure, Machine Learning, Systems Design, Data Processing, Data Pipelines, Data Architecture, Big Data, Cloud Engineering, Data Visualization, Cloud Security, Data Storage, Scalability

    Advanced · Course · 1 - 3 Months

  • Google Cloud

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, MLOps (Machine Learning Operations), Deep Learning, Application Deployment, Scalability, Data Processing, Artificial Neural Networks, Machine Learning, Data Transformation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Artificial Intelligence, Data Quality, Cloud API, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Natural Language Processing, Image Analysis, Predictive Analytics

    Beginner · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Application Deployment, Image Analysis, Google Cloud Platform, Computer Vision, Anomaly Detection, MLOps (Machine Learning Operations), Predictive Modeling

    Beginner · Project · Less Than 2 Hours

  • Google Cloud

    Skills you'll gain: Data Ethics, Responsible AI, Data Modeling, Data Analysis, MLOps (Machine Learning Operations), Artificial Intelligence, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

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

    Intermediate · Course · 1 - 3 Months

  • Status: Preview

    Google Cloud

    Skills you'll gain: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Kubernetes, Tensorflow, Metadata Management, PyTorch (Machine Learning Library), Containerization

    Advanced · Course · 1 - 3 Months

  • H2O.ai

    Skills you'll gain: Large Language Modeling, LLM Application, Generative AI, Prompt Engineering, Data Processing, Application Development, MLOps (Machine Learning Operations), Open Source Technology

    Intermediate · Course · 1 - 3 Months

  • Google Cloud

    Skills you'll gain: Data Ethics, Responsible AI, Data Analysis, Artificial Intelligence, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

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

    Intermediate · Course · 1 - 3 Months