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.
38credentials
2online degrees
169courses

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Results for "mlops (machine learning operations)"

  • Status: Free

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, R Programming, Dashboard, Health Informatics, Continuous Monitoring, Predictive Modeling, Statistical Machine Learning, Machine Learning Methods, Feature Engineering, Docker (Software), Data Manipulation, Application Programming Interface (API)

  • Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Prototyping

  • Status: Free Trial

    Skills you'll gain: Data Ethics, Responsible AI, Business Ethics, Compliance Management, Applied Machine Learning, Project Implementation, AI Product Strategy, Business Solutions, Solution Design, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Machine Learning Algorithms

  • Status: Free Trial

    Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Modeling, Machine Learning Algorithms, Process Management

  • Skills you'll gain: Google Cloud Platform, Google Gemini, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Infrastructure, Machine Learning, Natural Language Processing, Supervised Learning

  • Status: New
    Status: Free Trial
    Status: AI skills

    Skills you'll gain: PyTorch (Machine Learning Library), Data Quality, Generative AI, Deep Learning, MLOps (Machine Learning Operations), Data Pipelines, Application Deployment, Artificial Neural Networks, Software Visualization, Computer Vision, Dimensionality Reduction, Natural Language Processing, Machine Learning

  • 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, MLOps (Machine Learning Operations), Big Data, Unstructured Data, Tensorflow, Analytics, Data Pipelines, Jupyter, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), 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: Large Language Modeling, Generative AI, Rust (Programming Language), MLOps (Machine Learning Operations), AWS SageMaker, PyTorch (Machine Learning Library), CI/CD, Prompt Engineering, Applied Machine Learning, Application Deployment, Natural Language Processing, DevOps, Amazon Web Services, Machine Learning, Deep Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Responsible AI, Incident Response, Application Security, Security Engineering, Threat Modeling, Cybersecurity, MLOps (Machine Learning Operations), Security Controls, Information Systems Security, Artificial Intelligence and Machine Learning (AI/ML), Security Strategy, Continuous Monitoring, Identity and Access Management, Cloud Security, Vulnerability Assessments, Hardening, Threat Detection, Artificial Intelligence, Penetration Testing, Machine Learning

  • Status: Preview

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

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