Model Deployment with CI/CD on Domino

Model Deployment with CI/CD on Domino

Join Domino Data Lab for our recurring Customer Tech Hour series. In this session, we'll be reviewing model deployment in Domino with CI/CD.

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About this course

Deploying Models with CI/CD on Domino

We hope you'll join us for our upcoming Customer Tech Hour, where we will delve into the exciting world of deploying machine learning models with external Continuous Integration and Continuous Deployment (CI/CD) systems on the Domino platform. This event will equip you with the knowledge and best practices to streamline your model deployment process, making it more efficient and reliable.

During this event, we will cover essential topics to help you integrate CI/CD practices into your machine learning deployment workflow on the Domino platform. We'll demonstrate using external CI/CD systems, such as GitHub Actions. Senior Field Engineer Wasantha Gamage will guide you through the following:

  • Domino Platform Overview:
    • Overview of the powerful features and capabilities that Domino offers for data science and ML projects.
    • Leveraging Domino's infrastructure to create a robust and scalable model deployment environment.
  • Introduction to CI/CD for Model Deployment:
    • Understanding the principles of CI/CD and its importance in ML model deployment.
    • Exploring how CI/CD can accelerate deployment, reduce errors, and enhance collaboration.
  • Setting up CI/CD Pipelines:
    • Hands-on demonstrations of creating CI/CD pipelines tailored to ML model deployment.
    • Integrating version control and automated testing for model code and data.
  • Best Practices and Challenges:
    • Discussion of best practices for successful CI/CD implementation on Domino.
    • Addressing common challenges and potential solutions in the CI/CD pipeline.

About this course

Deploying Models with CI/CD on Domino

We hope you'll join us for our upcoming Customer Tech Hour, where we will delve into the exciting world of deploying machine learning models with external Continuous Integration and Continuous Deployment (CI/CD) systems on the Domino platform. This event will equip you with the knowledge and best practices to streamline your model deployment process, making it more efficient and reliable.

During this event, we will cover essential topics to help you integrate CI/CD practices into your machine learning deployment workflow on the Domino platform. We'll demonstrate using external CI/CD systems, such as GitHub Actions. Senior Field Engineer Wasantha Gamage will guide you through the following:

  • Domino Platform Overview:
    • Overview of the powerful features and capabilities that Domino offers for data science and ML projects.
    • Leveraging Domino's infrastructure to create a robust and scalable model deployment environment.
  • Introduction to CI/CD for Model Deployment:
    • Understanding the principles of CI/CD and its importance in ML model deployment.
    • Exploring how CI/CD can accelerate deployment, reduce errors, and enhance collaboration.
  • Setting up CI/CD Pipelines:
    • Hands-on demonstrations of creating CI/CD pipelines tailored to ML model deployment.
    • Integrating version control and automated testing for model code and data.
  • Best Practices and Challenges:
    • Discussion of best practices for successful CI/CD implementation on Domino.
    • Addressing common challenges and potential solutions in the CI/CD pipeline.