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  • Ml Pipelines And Ml Operations Mlops

Results for "ml pipelines and ml operations (mlops)"


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Digital Transformation Using AI/ML with Google Cloud

    Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Hybrid Cloud Computing, Data Strategy, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization, Cloud-Native Computing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Large Language Model Operations (LLMOps)

    Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, LLM Application, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Amazon Bedrock, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, Multimodal Prompts, MLOps (Machine Learning Operations), AWS SageMaker, Performance Tuning, Scalability, Database Management Systems, Generative Model Architectures

    4.5
    Rating, 4.5 out of 5 stars
    ·
    259 reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    52 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    AI & ML Applications in Oil and Gas Industry

    Skills you'll gain: Oil and Gas, Big Data, Data Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Process Engineering, Anomaly Detection, Image Analysis, Machine Learning, Python Programming, Physical Science, Natural Resource Management, 3D Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    49 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
    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), Exploratory Data Analysis, MLOps (Machine Learning Operations), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Data Strategy, OpenAI, Applied Machine Learning, Data Pipelines, AI Product Strategy, Supervised Learning, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Building Batch Data Pipelines on Google Cloud

    Skills you'll gain: Data Pipelines, Dataflow, Extract, Transform, Load, Google Cloud Platform, Data Integration, Data Migration, Data Processing, Apache Hadoop, Apache Spark, Big Data, Data Transformation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    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
    G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Feature Engineering, Data Import/Export, Cloud API, Dashboard, Apache Spark, Big Data, PySpark, Applied Machine Learning, Apache Hive, Artificial Intelligence and Machine Learning (AI/ML), Query Languages, Apache Hadoop, Application Deployment, Looker (Software), Cloud Computing, Serverless Computing, Machine Learning, Jupyter, Scalability, SQL

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Developing Machine Learning Solutions

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Machine Learning, Applied Machine Learning, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Pearson

    Learn MLOps for Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular ml pipelines and ml operations (mlops) courses

  • Digital Transformation Using AI/ML with Google Cloud: Google Cloud
  • Large Language Model Operations (LLMOps): Duke University
  • Machine Learning in Production: DeepLearning.AI
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • AI & ML Applications in Oil and Gas Industry: L&T EduTech
  • Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
  • Machine Learning on Google Cloud: Google Cloud
  • Building Batch Data Pipelines on Google Cloud: Google Cloud
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud

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