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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1online degree
164courses

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Results for "mlops (machine learning operations)"

  • 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

  • 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

  • Skills you'll gain: Applied Machine Learning, Google Cloud Platform, Image Analysis, Computer Vision, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning, Cloud Storage, Cloud API

  • 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: 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: New
    Status: Free Trial

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

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Looker (Software), Data Lakes, Real Time Data, Data Warehousing, Big Data, Data Infrastructure, Cloud Infrastructure, Unstructured Data, Tensorflow, Data Storage, Dashboard, Apache Airflow, Data Architecture, Data Processing, MLOps (Machine Learning Operations), Cloud Storage, Applied Machine Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, AWS SageMaker, AWS Identity and Access Management (IAM), Identity and Access Management, Computer Vision, Generative AI, LLM Application, Amazon Web Services, Applied Machine Learning, Natural Language Processing, Machine Learning, Reinforcement Learning, Data Ethics, Artificial Intelligence, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Deep Learning, Data Wrangling

  • 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: Free Trial

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

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