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    Results for "mlops (machine learning operations)"

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Practical Machine Learning

      Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Decision Tree Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Production Machine Learning Systems

      Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Scalability, Data Pipelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on Google Cloud

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming

      3.7
      Rating, 3.7 out of 5 stars
      ·
      50 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Managing Machine Learning Projects with Google Cloud

      Skills you'll gain: Data Ethics, Google Cloud Platform, Applied Machine Learning, Image Analysis, Responsible AI, Machine Learning, Data Strategy, Data Governance, Innovation, AI Product Strategy, Feasibility Studies, Business Analysis, Business Priorities, Project Management Life Cycle

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      C

      Coursera Instructor Network

      Operationalizing ML Models: MLOps for Scalable AI

      Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning and NLP Basics

      Skills you'll gain: Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Natural Language Processing, Supervised Learning, Artificial Intelligence, Data Science, Data Processing, Computer Vision, Reinforcement Learning

      3.3
      Rating, 3.3 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Manage Features

      Skills you'll gain: MLOps (Machine Learning Operations), Data Modeling, Google Cloud Platform, Feature Engineering, Application Deployment, DevOps, Data Processing, Data Management, Data Storage

      4.2
      Rating, 4.2 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Machine Learning Rock Star – the End-to-End Practice

      Skills you'll gain: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Data Science, Machine Learning Algorithms, Artificial Intelligence, Data Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      189 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines

      4.3
      Rating, 4.3 out of 5 stars
      ·
      175 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Tools: MLflow and Hugging Face

      Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Containerization, CI/CD, Docker (Software), Microsoft Azure, Cloud Computing, Cloud Applications, Machine Learning Software, GitHub, Application Programming Interface (API)

      3.6
      Rating, 3.6 out of 5 stars
      ·
      57 reviews

      Advanced · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular mlops (machine learning operations) courses

    • Practical Machine Learning: Johns Hopkins University
    • Production Machine Learning Systems: Google Cloud
    • Machine Learning: University of Washington
    • Smart Analytics, Machine Learning, and AI on Google Cloud: Google Cloud
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • Managing Machine Learning Projects with Google Cloud: Google Cloud
    • Operationalizing ML Models: MLOps for Scalable AI: Coursera Instructor Network
    • Machine Learning and NLP Basics: Edureka
    • Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
    • Machine Learning Rock Star – the End-to-End Practice: SAS

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