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)"

  • Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Google Analytics, Data Processing, Cloud Computing, Analytics, Cloud Storage, Predictive Analytics, Machine Learning, Advanced Analytics, Data Management

  • Status: Free Trial

    Skills you'll gain: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Cleansing, Artificial Neural Networks, Tensorflow, Text Mining, Jupyter, Application Lifecycle Management, Pandas (Python Package), Systems Architecture, Analysis, Deep Learning, Application Development, Scripting, Algorithms, Data Transformation, Python Programming

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Generative AI, Large Language Modeling, Artificial Intelligence, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Tensorflow, Information Privacy, Machine Learning, A/B Testing, Deep Learning, Version Control, Performance Tuning, Scalability

  • Status: Free Trial

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

  • Status: Free

    Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Jupyter, Generative AI, Software Versioning, Data Store, Metadata Management

  • Status: Free Trial

    Duke University

    Skills you'll gain: Amazon Bedrock, AWS SageMaker, Large Language Modeling, MLOps (Machine Learning Operations), Amazon Web Services, Continuous Monitoring, Data Ethics, Secure Coding, Responsible AI, Application Deployment, Generative AI, Cloud Computing, Serverless Computing

  • Status: Free Trial

    Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Data Processing, Data Infrastructure, Google Cloud Platform, Machine Learning, Cloud Security, Data Analysis, Data Governance, Data Strategy, Data Storage Technologies, Data Migration, Scalability

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

    Amazon Web Services

    Skills you'll gain: Responsible AI, Generative AI, Generative AI Agents, Prompt Engineering, Amazon Bedrock, AWS SageMaker, AI Product Strategy, Amazon Web Services, LLM Application, MLOps (Machine Learning Operations), Application Development, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Data Governance, Large Language Modeling, Commercialization, API Design, Solution Architecture, Data Management

  • Skills you'll gain: MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Google Cloud Platform, Forecasting, Feature Engineering, Data Transformation, Predictive Modeling, Applied Machine Learning, Data Pipelines, Deep Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment, Deep Learning, Cloud Hosting, Restful API

  • Status: New
    Status: Free Trial

    Amazon Web Services

    Skills you'll gain: Responsible AI, Amazon Bedrock, AWS SageMaker, Amazon Web Services, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Large Language Modeling, Application Development

  • Status: Preview

    Skills you'll gain: Amazon Bedrock, Prompt Engineering, Responsible AI, Generative AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, AWS Identity and Access Management (IAM), Cloud Security, Natural Language Processing