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.
42credentials
2online degrees
170courses

Results for "mlops (machine learning operations)"

  • Status: Preview

    Skills you'll gain: Amazon Bedrock, MLOps (Machine Learning Operations), Product Development, Human Centered Design, Design Thinking, User Research, Agile Product Development, Amazon Web Services, New Product Development, Generative AI, Innovation, Machine Learning, Artificial Intelligence

  • Status: Free Trial

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

  • 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

  • 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

  • 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, Data Pipelines, Google Cloud Platform, MLOps (Machine Learning Operations), Unstructured Data, Data Lakes, Data Warehousing, Data Processing, Data Management, Data Infrastructure, Cloud Engineering, Cloud Storage, Big Data, Cloud Infrastructure, Tensorflow, Data Visualization, Real Time Data, Applied Machine Learning, Extract, Transform, Load, Machine Learning

  • Status: Free Trial

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

  • Status: Preview

    Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements

  • 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

  • Skills you'll gain: Data Processing, Predictive Modeling, Feature Engineering, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Analysis, Machine Learning, Data Import/Export, Data Visualization, Virtual Environment

  • Status: Free Trial

    Skills you'll gain: Dataflow, Tensorflow, Data Pipelines, Google Cloud Platform, Data Import/Export, Feature Engineering, Real Time Data, Unstructured Data, Applied Machine Learning, Data Lakes, Apache Spark, Dashboard, Big Data, Data Warehousing, Data Management, MLOps (Machine Learning Operations), Data Infrastructure, Cloud Engineering, Cloud Storage, PySpark