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  • Ml Pipelines And Ml Operations Mlops

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


  • G

    Google Cloud

    Dataflow: Qwik Start - Templates

    Skills you'll gain: Real Time Data, Dataflow, Data Pipelines, Command-Line Interface, Google Cloud Platform, Databases, Operational Databases, Data Processing, Big Data

    Beginner · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Coursera

    Data and Machine Learning for Technical Product Managers

    Skills you'll gain: Technical Communication, Technical Product Management, Program Evaluation, Performance Metric, Data Analysis, Agile Methodology, Project Management, Analytics, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, Large Language Modeling, R Programming, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro

    Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Data Processing, Extract, Transform, Load, Pandas (Python Package), Data Transformation, SQL, Jupyter, Google Cloud Platform, Development Environment, Analytics, Cloud Storage

    Advanced · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    MLOps in R: Deploying machine learning models using vetiver

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, R Programming, Dashboard, Health Informatics, Continuous Monitoring, Predictive Modeling, Statistical Machine Learning, Machine Learning Methods, Feature Engineering, Docker (Software), Data Manipulation, Application Programming Interface (API)

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Extract, Analyze, and Translate Text from Images with the Cloud ML APIs

    Skills you'll gain: Applied Machine Learning, Cloud API, Natural Language Processing, Text Mining, Image Analysis, Cloud-Based Integration, Computer Vision, Network Analysis, Web Design

    Advanced · Project · Less Than 2 Hours

  • G

    Google Cloud

    Building Realtime Pipelines in Cloud Data Fusion

    Skills you'll gain: Cloud-Based Integration, Real Time Data, Data Pipelines, Apache Spark, Data Integration, Data Transformation, Data Wrangling, Data Analysis, Data Visualization, Data Management

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh

    Skills you'll gain: Cloud Computing, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Application Deployment, Continuous Deployment, Microservices, Load Balancing

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Building Batch Pipelines in Cloud Data Fusion

    Skills you'll gain: Data Wrangling, Data Transformation, Data Pipelines, Extract, Transform, Load, Cloud Engineering, Google Cloud Platform, Data Integration, Cloud Development, Cloud-Based Integration, Data Analysis, Database Administration, Data Management

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure AI & ML: Optimize Language Models for AI Applications

    Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Large Language Modeling, Continuous Monitoring, Generative AI, Performance Tuning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Google Kubernetes Engine Pipeline using Cloud Build

    Skills you'll gain: CI/CD, Kubernetes, Continuous Deployment, Continuous Integration, Google Cloud Platform, Test Automation, Containerization, Cloud Development, Git (Version Control System)

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Design and Implement Build and Release Pipelines

    Skills you'll gain: CI/CD, Package and Software Management, Infrastructure as Code (IaC), Azure DevOps, Continuous Delivery, Application Deployment, Continuous Integration, DevOps, Release Management, Software Versioning, Version Control, Microsoft Azure, GitHub, Development Testing, Test Engineering, YAML

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: ML Workflows with SageMaker, Storage & Security

    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

    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

  • Dataflow: Qwik Start - Templates: Google Cloud
  • Data and Machine Learning for Technical Product Managers: Coursera
  • Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro: Google Cloud
  • MLOps in R: Deploying machine learning models using vetiver: Coursera
  • Extract, Analyze, and Translate Text from Images with the Cloud ML APIs: Google Cloud
  • Building Realtime Pipelines in Cloud Data Fusion: Google Cloud
  • Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh: Google Cloud
  • Building Batch Pipelines in Cloud Data Fusion: Google Cloud
  • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
  • Google Kubernetes Engine Pipeline using Cloud Build: Google Cloud

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