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.
42credentials
2online degrees
170courses

Results for "mlops (machine learning operations)"

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

  • Status: Free Trial

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

  • 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

    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: Preview

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

  • Status: Free

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, Tidyverse (R Package), R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Docker (Software), Containerization, Application Programming Interface (API)

  • Status: Preview

    Skills you'll gain: Tensorflow, MLOps (Machine Learning Operations), Dependency Analysis, Systems Architecture, Google Cloud Platform, Applied Machine Learning, Machine Learning, Hybrid Cloud Computing, Performance Tuning, Data Validation, Distributed Computing, Scalability, Data Pipelines, Debugging

  • Status: Preview

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

  • Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Performance Tuning, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Data Processing, Data Pipelines

  • Skills you'll gain: Generative AI, Data Wrangling, Project Planning, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, Data Visualization, MLOps (Machine Learning Operations), Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML)

  • 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: 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

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