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.
40credentials
2online degrees
170courses

Results for "mlops (machine learning operations)"

  • 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: New
    Status: Free Trial

    Skills you'll gain: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning

  • Status: Preview

    Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

  • 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

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

  • Status: New
    Status: Free Trial
    Status: AI skills

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

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Application Deployment

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Tensorflow, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Unstructured Data, Applied Machine Learning, Data Pipelines, Deep Learning, Machine Learning, Jupyter

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Big Data, Unstructured Data, Tensorflow, Analytics, Data Pipelines, Jupyter, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing

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

  • Status: Free Trial

    Skills you'll gain: Large Language Modeling, Generative AI, Rust (Programming Language), MLOps (Machine Learning Operations), AWS SageMaker, PyTorch (Machine Learning Library), CI/CD, Prompt Engineering, Applied Machine Learning, Application Deployment, Natural Language Processing, DevOps, Amazon Web Services, Machine Learning, Deep Learning

  • Status: Preview

    Skills you'll gain: Generative AI, Prompt Engineering, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Big Data, Cloud Development, Machine Learning, Natural Language Processing