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.
39credentials
2online degrees
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Results for "mlops (machine learning operations)"

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scalability

  • 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: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines

  • 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

  • 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, MLOps (Machine Learning Operations), Tensorflow, Systems Architecture, Cloud Computing Architecture, Applied Machine Learning, Performance Tuning, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Statistical Inference, Data Processing, Debugging

  • Status: Preview

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

  • Status: Preview

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

  • Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Governance, Data Processing, Google Cloud Platform, Workflow Management, Tensorflow, Data Pipelines, Machine Learning, Containerization, Continuous Monitoring

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

  • 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