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.
40credentials
2online degrees
170courses

Results for "mlops (machine learning operations)"

  • Status: Free Trial

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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Tensorflow, Google Cloud Platform, Cloud Infrastructure, Hardware Architecture, Application Deployment, Infrastructure Architecture, Infrastructure As A Service (IaaS), Cloud Computing Architecture, Performance Tuning, Computer Hardware, Computer Architecture, MLOps (Machine Learning Operations), Cloud Platforms, Business Workflow Analysis, Interoperability, Artificial Intelligence, Product Demonstration, Performance Improvement, Systems Architecture, Benchmarking

  • 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: 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

  • Status: Free Trial

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

  • 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

  • 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

  • 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: Free Trial

    Skills you'll gain: Google Cloud Platform, Data Pipelines, Data Processing, Systems Design, Dataflow, Cloud Engineering, Real Time Data, Data Lakes, Data Infrastructure, Big Data, Data Warehousing, Extract, Transform, Load, MLOps (Machine Learning Operations), Cloud Storage, Data Modeling, Applied Machine Learning, Data Storage, Looker (Software), Apache Hive, Data Integration

  • Status: New
    Status: Free Trial

    Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Large Language Modeling, Continuous Monitoring, Generative AI, Performance Tuning, Machine Learning

  • 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

  • Status: New

    Skills you'll gain: Prompt Engineering, LangChain, Large Language Modeling, Data Quality, No-Code Development, MLOps (Machine Learning Operations), Application Deployment, Responsible AI, Natural Language Processing, Application Development, Application Programming Interface (API), Scalability