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: 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: 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

  • 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: Free Trial

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

  • Status: Preview

    Skills you'll gain: Amazon Bedrock, MLOps (Machine Learning Operations), Product Development, User Experience Design, User Research, Human Centered Design, New Product Development, Design Thinking, Generative AI, Solution Design, Innovation, Machine Learning, Prototyping, Problem Management

  • Status: New
    Status: Free Trial

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Data Pipelines, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption

  • Skills you'll gain: Apache Airflow, Tensorflow, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Machine Learning Methods, Cloud Computing, Machine Learning

  • 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: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, Business Process Automation, Generative AI Agents, Generative AI, Automation, Performance Measurement, No-Code Development, Responsible AI, Process Optimization, Business Workflow Analysis, MLOps (Machine Learning Operations), System Monitoring, Scalability, Performance Analysis, Performance Management, Systems Integration

  • Status: Free Trial

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Data Processing, Systems Design, Cloud Engineering, 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: Free Trial

    Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL, Python Programming

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