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: Free Trial

    Google Cloud

    Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning, Data Storage

  • Status: New

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, AWS SageMaker, Artificial Intelligence, Data Ethics, Application Deployment, Large Language Modeling, Amazon Web Services, Machine Learning, MLOps (Machine Learning Operations), Business Solutions, Technology Strategies, Infrastructure Security, Governance, Data Security, Business Metrics

  • Status: Free Trial

    Skills you'll gain: Databricks, Responsible AI, Microsoft Azure, Data Science, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis

  • Status: Preview

    Skills you'll gain: Amazon Bedrock, MLOps (Machine Learning Operations), Product Development, Human Centered Design, Design Thinking, User Research, Agile Product Development, Amazon Web Services, New Product Development, Generative AI, Innovation, Machine Learning, Artificial Intelligence

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Google Cloud Platform, MLOps (Machine Learning Operations), Unstructured Data, Data Lakes, Data Warehousing, Data Processing, Data Management, Data Infrastructure, Cloud Engineering, Cloud Storage, Big Data, Cloud Infrastructure, Tensorflow, Data Visualization, Real Time Data, Applied Machine Learning, Extract, Transform, Load, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Keras (Neural Network Library), Data Transformation, Data Processing, Data Modeling, Machine Learning, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, Kubernetes, Containerization, Docker (Software), Cloud Infrastructure, Scalability, Prompt Engineering, MLOps (Machine Learning Operations), Large Language Modeling, Infrastructure Architecture, Performance Tuning, Application Deployment, Site Reliability Engineering, Enterprise Architecture, Continuous Deployment, Continuous Monitoring, Technology Strategies, Process Optimization, Automation, Job Evaluation

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Data Pipelines, Dataflow, Tensorflow, Data Lakes, Big Data, Data Warehousing, Dashboard, Cloud Infrastructure, Apache Spark, Data Infrastructure, MLOps (Machine Learning Operations), Unstructured Data, Applied Machine Learning, Cloud Storage, Real Time Data, Extract, Transform, Load, Feature Engineering, Data Processing, PySpark

  • Status: Preview

    Skills you'll gain: Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Performance Tuning

  • Skills you'll gain: Fraud detection, Feature Engineering, Exploratory Data Analysis, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Application Deployment, Jupyter, Data Analysis, System Monitoring, Data Warehousing, Machine Learning

  • Skills you'll gain: Applied Machine Learning, Google Cloud Platform, Image Analysis, MLOps (Machine Learning Operations), Computer Vision, Predictive Modeling, Machine Learning, Cloud Storage, Cloud API

  • Status: Preview

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, MLOps (Machine Learning Operations), Data Science, Artificial Neural Networks, Test Case, Analysis, Algorithms, Performance Testing, Performance Tuning

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