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Results for "mlops (machine learning operations)"


  • Status: New
    New
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    C

    Coursera

    Data Science Beyond the Basics (ML+DS)

    Skills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, AWS SageMaker, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Deep Learning, A/B Testing, Python Programming, Machine Learning, Data Analysis, Data Processing, AWS CloudFormation, AI Personalization, Network Architecture

    4.4
    Rating, 4.4 out of 5 stars
    ·
    20 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
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    557 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
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    37K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    Packt

    Azure ML Bootcamp: Machine Learning on the Cloud

    Skills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Statistical Methods, Data Quality, Real Time Data, Resource Management

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Jupyter, Image Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Data Visualization, Machine Learning Algorithms, Amazon Web Services, Python Programming, Cloud Applications, Data Transformation, Predictive Modeling, Data Processing, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Pandas (Python Package)

    4.5
    Rating, 4.5 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, CI/CD, Machine Learning, Automation, Data Pipelines, Version Control

    4
    Rating, 4 out of 5 stars
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    476 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Cloud Services, Apache Hadoop, Applied Machine Learning, Apache Hive, Application Programming Interface (API), Jupyter, Data Storage Technologies, Data Storage, Data Architecture, Data Quality, Artificial Intelligence and Machine Learning (AI/ML), Ad Hoc Analysis, Serverless Computing, Scalability

    4.6
    Rating, 4.6 out of 5 stars
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    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    580 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Packt

    DevOps to MLOps Bootcamp– Build & Deploy ML Systems

    Skills you'll gain: Data Engineering, Application Deployment, YAML, Virtual Environment

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
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    Packt

    Real-world End to End Machine Learning Ops on Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Kubernetes, Cloud Computing, CI/CD, Machine Learning Methods, Continuous Deployment, Apache Airflow, Machine Learning, Application Deployment, Continuous Integration, Predictive Modeling, Data Pipelines, Containerization, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Responsible AI, Generative AI, Tensorflow, Generative AI Agents, Keras (Neural Network Library), Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Cleansing, Prompt Engineering, Data Strategy, OpenAI, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
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    3.7K reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to mlops (machine learning operations)

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

  • Data Science Beyond the Basics (ML+DS): Coursera
  • MLOps | Machine Learning Operations: Duke University
  • Machine Learning: DeepLearning.AI
  • Azure ML Bootcamp: Machine Learning on the Cloud: Packt
  • AI Driven Machine Learning with Python: EDUCBA
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • The Nuts and Bolts of Machine Learning: Google
  • DevOps to MLOps Bootcamp– Build & Deploy ML Systems: Packt

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