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.
41credentials
2online degrees
173courses

Results for "mlops (machine learning operations)"

  • 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

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

  • 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

  • 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, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Applied Machine Learning, Data Pipelines, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Natural Language Processing, Image Analysis

  • Status: Free Trial

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

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Unstructured Data, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Deep Learning, Predictive Modeling, Natural Language Processing, Image Analysis

  • Status: Preview

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