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)"

  • Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Statistical Methods, Responsible AI, Predictive Modeling, Google Cloud Platform, Machine Learning, Natural Language Processing

  • Amazon Web Services

    Skills you'll gain: Amazon CloudWatch, DevOps, DevSecOps, Code Review, Amazon Web Services, CI/CD, MLOps (Machine Learning Operations), Application Performance Management, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Continuous Monitoring, System Monitoring, Vulnerability Scanning, Predictive Analytics

  • Status: Free Trial

    Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Debugging, Artificial Intelligence, Computer Vision, Data-Driven Decision-Making, Performance Tuning

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Responsible AI, Verification And Validation, Machine Learning

  • Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Predictive Modeling, Data Validation, Responsible AI, Google Cloud Platform, System Monitoring, Machine Learning Methods

  • Status: Preview

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

  • Status: Free

    Skills you'll gain: Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Feasibility Studies, System Requirements, Solution Design

  • Status: Free Trial

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework), Automation

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

  • Status: Preview

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

  • Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Google Cloud Platform, Tensorflow, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Distributed Computing, Performance Tuning, Scalability, Machine Learning, Data Pipelines, Verification And Validation, Data Processing

  • Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Processing, Data Storage, DevOps, Data Modeling, Data Management, Applied Machine Learning, Scalability

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